├── .github └── workflows │ └── dockerbuild.yml ├── .gitmodules ├── 0001-Add-microchip-specific-clock-and-devices.patch ├── Makefile ├── README.md ├── build.md ├── kernelconfig ├── osdi-artifact-demo.png ├── quick-start.md ├── rootfs.cpio ├── slice-demo └── Dockerfile ├── slice-ubuntu └── Dockerfile └── x86-exp ├── Makefile ├── README.md ├── check_qos.py ├── cloudsuite.gnuplot ├── collect-data-caching.sh ├── collect-local.sh ├── data ├── data-caching │ ├── native │ │ ├── peak.log │ │ ├── qos-222500.log │ │ ├── qos-222812.log │ │ ├── qos-223125.log │ │ ├── qos-223750.log │ │ ├── qos-225000.log │ │ ├── qos-230000.log │ │ ├── qos-240000.log │ │ └── qos.log │ ├── slice │ │ ├── peak.log │ │ ├── qos-222500.log │ │ ├── qos-222812.log │ │ ├── qos-223125.log │ │ ├── qos-223750.log │ │ ├── qos-225000.log │ │ ├── qos-230000.log │ │ ├── qos-240000.log │ │ └── qos.log │ ├── vm1g │ │ ├── peak.log │ │ ├── qos-203750.log │ │ ├── qos-205625.log │ │ ├── qos-206562.log │ │ ├── qos-207031.log │ │ ├── qos-207500.log │ │ ├── qos-215000.log │ │ └── qos.log │ └── vm2m │ │ ├── peak.log │ │ ├── qos-207500.log │ │ ├── qos-209375.log │ │ ├── qos-209843.log │ │ ├── qos-210312.log │ │ ├── qos-211250.log │ │ ├── qos-215000.log │ │ └── qos.log ├── data-serving │ ├── native │ │ └── 1.log │ ├── slice │ │ └── 1.log │ ├── vm1g │ │ └── 1.log │ └── vm2m │ │ └── 1.log ├── graph-analytics │ ├── native │ │ ├── graph-analytics-01.log │ │ ├── graph-analytics-02.log │ │ ├── graph-analytics-03.log │ │ ├── graph-analytics-04.log │ │ ├── graph-analytics-05.log │ │ ├── graph-analytics-06.log │ │ ├── graph-analytics-07.log │ │ ├── graph-analytics-08.log │ │ ├── graph-analytics-09.log │ │ ├── graph-analytics-10.log │ │ ├── graph-analytics-11.log │ │ ├── graph-analytics-12.log │ │ ├── graph-analytics-13.log │ │ ├── graph-analytics-14.log │ │ ├── graph-analytics-15.log │ │ ├── graph-analytics-16.log │ │ ├── graph-analytics-17.log │ │ ├── graph-analytics-18.log │ │ ├── graph-analytics-19.log │ │ └── graph-analytics-20.log │ ├── slice │ │ ├── graph-analytics-01.log │ │ ├── graph-analytics-02.log │ │ ├── graph-analytics-03.log │ │ ├── graph-analytics-04.log │ │ ├── graph-analytics-05.log │ │ ├── graph-analytics-06.log │ │ ├── graph-analytics-07.log │ │ ├── graph-analytics-08.log │ │ ├── graph-analytics-09.log │ │ ├── graph-analytics-10.log │ │ ├── graph-analytics-11.log │ │ ├── graph-analytics-12.log │ │ ├── graph-analytics-13.log │ │ ├── graph-analytics-14.log │ │ ├── graph-analytics-15.log │ │ ├── graph-analytics-16.log │ │ ├── graph-analytics-17.log │ │ ├── graph-analytics-18.log │ │ ├── graph-analytics-19.log │ │ └── graph-analytics-20.log │ ├── vm1g │ │ ├── graph-analytics-01.log │ │ ├── graph-analytics-02.log │ │ ├── graph-analytics-03.log │ │ ├── graph-analytics-04.log │ │ ├── graph-analytics-05.log │ │ ├── graph-analytics-06.log │ │ ├── graph-analytics-07.log │ │ ├── graph-analytics-08.log │ │ ├── graph-analytics-09.log │ │ ├── graph-analytics-10.log │ │ ├── graph-analytics-11.log │ │ ├── graph-analytics-12.log │ │ ├── graph-analytics-13.log │ │ ├── graph-analytics-14.log │ │ ├── graph-analytics-15.log │ │ ├── graph-analytics-16.log │ │ ├── graph-analytics-17.log │ │ ├── graph-analytics-18.log │ │ ├── graph-analytics-19.log │ │ └── graph-analytics-20.log │ └── vm2m │ │ ├── graph-analytics-01.log │ │ ├── graph-analytics-02.log │ │ ├── graph-analytics-03.log │ │ ├── graph-analytics-04.log │ │ ├── graph-analytics-05.log │ │ ├── graph-analytics-06.log │ │ ├── graph-analytics-07.log │ │ ├── graph-analytics-08.log │ │ ├── graph-analytics-09.log │ │ ├── graph-analytics-10.log │ │ ├── graph-analytics-11.log │ │ ├── graph-analytics-12.log │ │ ├── graph-analytics-13.log │ │ ├── graph-analytics-14.log │ │ ├── graph-analytics-15.log │ │ ├── graph-analytics-16.log │ │ ├── graph-analytics-17.log │ │ ├── graph-analytics-18.log │ │ ├── graph-analytics-19.log │ │ └── graph-analytics-20.log └── in-memory-analytics │ ├── native │ ├── in-memory-analytics-01.log │ ├── in-memory-analytics-02.log │ ├── in-memory-analytics-03.log │ ├── in-memory-analytics-04.log │ ├── in-memory-analytics-05.log │ ├── in-memory-analytics-06.log │ ├── in-memory-analytics-07.log │ ├── in-memory-analytics-08.log │ ├── in-memory-analytics-09.log │ ├── in-memory-analytics-10.log │ ├── in-memory-analytics-11.log │ ├── in-memory-analytics-12.log │ ├── in-memory-analytics-13.log │ ├── in-memory-analytics-14.log │ ├── in-memory-analytics-15.log │ ├── in-memory-analytics-16.log │ ├── in-memory-analytics-17.log │ ├── in-memory-analytics-18.log │ ├── in-memory-analytics-19.log │ └── in-memory-analytics-20.log │ ├── slice │ ├── in-memory-analytics-01.log │ ├── in-memory-analytics-02.log │ ├── in-memory-analytics-03.log │ ├── in-memory-analytics-04.log │ ├── in-memory-analytics-05.log │ ├── in-memory-analytics-06.log │ ├── in-memory-analytics-07.log │ ├── in-memory-analytics-08.log │ ├── in-memory-analytics-09.log │ ├── in-memory-analytics-10.log │ ├── in-memory-analytics-11.log │ ├── in-memory-analytics-12.log │ ├── in-memory-analytics-13.log │ ├── in-memory-analytics-14.log │ ├── in-memory-analytics-15.log │ ├── in-memory-analytics-16.log │ ├── in-memory-analytics-17.log │ ├── in-memory-analytics-18.log │ ├── in-memory-analytics-19.log │ └── in-memory-analytics-20.log │ ├── vm1g │ ├── in-memory-analytics-01.log │ ├── in-memory-analytics-02.log │ ├── in-memory-analytics-03.log │ ├── in-memory-analytics-04.log │ ├── in-memory-analytics-05.log │ ├── in-memory-analytics-06.log │ ├── in-memory-analytics-07.log │ ├── in-memory-analytics-08.log │ ├── in-memory-analytics-09.log │ ├── in-memory-analytics-10.log │ ├── in-memory-analytics-11.log │ ├── in-memory-analytics-12.log │ ├── in-memory-analytics-13.log │ ├── in-memory-analytics-14.log │ ├── in-memory-analytics-15.log │ ├── in-memory-analytics-16.log │ ├── in-memory-analytics-17.log │ ├── in-memory-analytics-18.log │ ├── in-memory-analytics-19.log │ └── in-memory-analytics-20.log │ └── vm2m │ ├── in-memory-analytics-01.log │ ├── in-memory-analytics-02.log │ ├── in-memory-analytics-03.log │ ├── in-memory-analytics-04.log │ ├── in-memory-analytics-05.log │ ├── in-memory-analytics-06.log │ ├── in-memory-analytics-07.log │ ├── in-memory-analytics-08.log │ ├── in-memory-analytics-09.log │ ├── in-memory-analytics-10.log │ ├── in-memory-analytics-11.log │ ├── in-memory-analytics-12.log │ ├── in-memory-analytics-13.log │ ├── in-memory-analytics-14.log │ ├── in-memory-analytics-15.log │ ├── in-memory-analytics-16.log │ ├── in-memory-analytics-17.log │ ├── in-memory-analytics-18.log │ ├── in-memory-analytics-19.log │ └── in-memory-analytics-20.log └── process.py /.github/workflows/dockerbuild.yml: -------------------------------------------------------------------------------- 1 | name: Build Docker Images 2 | 3 | on: 4 | push: 5 | branches: 6 | - osdi-artifact 7 | 8 | jobs: 9 | quick-start: 10 | runs-on: ubuntu-latest 11 | steps: 12 | - name: checkout sources 13 | uses: actions/checkout@v2 14 | 15 | - name: build docker 16 | shell: bash 17 | run: make slice-demo-container 18 | 19 | build-all: 20 | runs-on: ubuntu-latest 21 | steps: 22 | - name: checkout sources 23 | uses: actions/checkout@v2 24 | 25 | - name: build all except for the riscv toolchain 26 | shell: bash 27 | run: | 28 | make setup 29 | make all 30 | 31 | quick-build-option1: 32 | runs-on: ubuntu-latest 33 | steps: 34 | - name: checkout sources 35 | uses: actions/checkout@v2 36 | 37 | - name: build sliceloader with prebuilt guest linux + qemu + riscv toolchain 38 | shell: bash 39 | run: | 40 | make setup 41 | make quick-build 42 | 43 | -------------------------------------------------------------------------------- /.gitmodules: -------------------------------------------------------------------------------- 1 | [submodule "qemu"] 2 | path = qemu 3 | url = https://github.com/MSRSSP/qemu-slice.git 4 | branch = slice 5 | [submodule "slice-hss"] 6 | path = slice-hss 7 | url = https://github.com/MSRSSP/hss-slice.git 8 | branch = osdi-artifact 9 | [submodule "sliceloade-x64"] 10 | path = sliceloade-x64 11 | url = git@github.com:MSRSSP/sliceloader-x64.git 12 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Core slicing prototype 2 | This tutorial will walk you through building and executing two versions of our core slicing prototype: one with desired security properties in RISC-V, and another for performance evaluation in x86. 3 | 4 | ## RISC-V prototype 5 | 6 | ### :rocket: Quick start 7 | 8 | Jump to :point_right: [quick-start](quick-start.md) if you do not want to compile from source code. 9 | 10 | ### :hourglass: :wrench: Build from source 11 | Follow :point_right: [build tutorial](build.md) to build from source code. 12 | 13 | ### :-1: Limitations 14 | There are some limitations of using QEMU-based emulation, such as: 15 | * :alarm_clock: Timestamp from log is not useful since it is under QEMU. 16 | * :construction: Slice cache will always show zero value for cache controller registers since the cache emulation is unimplemented. 17 | * :tv: UART-0 is assigned to slice-0, UART-1 is reserved for normal harts to use before they are locked into a slice, UART-2 is used by hart1 and hart2, UART2 is used by hart 3 and hart4. 18 | 19 | ## Core slicing x86 prototype 20 | 21 | Jump to :point_right: [slice-x86](https://github.com/MSRSSP/sliceloader-x64#readme) for x86 tutorials. You need a machine with SR-IO support NIC. 22 | 23 | Jump to :point_right: [slice-x86-exp](x86-exp/README.md) 24 | -------------------------------------------------------------------------------- /osdi-artifact-demo.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MSRSSP/core-slicing/72fa14a13d7fef4f494dd6d16a93f1026a04ed33/osdi-artifact-demo.png -------------------------------------------------------------------------------- /rootfs.cpio: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MSRSSP/core-slicing/72fa14a13d7fef4f494dd6d16a93f1026a04ed33/rootfs.cpio -------------------------------------------------------------------------------- /slice-demo/Dockerfile: -------------------------------------------------------------------------------- 1 | FROM slice-ubuntu 2 | WORKDIR /root/slice/ 3 | RUN curl -k -L -o linux-riscv-build.tar.gz https://github.com/MSRSSP/core-slicing/releases/download/prebuilt/linux-riscv-build.tar.gz 4 | RUN curl -k -L -o sliceloader.tar.gz https://github.com/MSRSSP/core-slicing/releases/download/prebuilt/sliceloader.tar.gz 5 | RUN curl -k -L -o qemu-build.tar.gz https://github.com/MSRSSP/core-slicing/releases/download/prebuilt/qemu-build.tar.gz 6 | RUN curl -k -L -o slice-payload.tar.gz https://github.com/MSRSSP/core-slicing/releases/download/prebuilt/slice-payload.tar.gz 7 | RUN tar xvzf linux-riscv-build.tar.gz 8 | RUN tar xvzf sliceloader.tar.gz 9 | RUN tar xvzf qemu-build.tar.gz 10 | RUN tar xvzf slice-payload.tar.gz 11 | RUN cp -r linux-riscv-build linux-riscv-build2 12 | WORKDIR /root/slice/slice-hss/bypass-uboot 13 | ENTRYPOINT make qemu; export TOP=/root/slice/ && ./qemu.sh build/slice-qemu-sd.img && echo "Run `docker exec -it $containerid telnet 5433/5432` to login into slice-1/slice-2; user = "root", password is empty" 14 | -------------------------------------------------------------------------------- /slice-ubuntu/Dockerfile: -------------------------------------------------------------------------------- 1 | FROM ubuntu:20.04 AS env 2 | 3 | RUN apt-get update 4 | 5 | RUN apt-get install -y --no-install-recommends \ 6 | make \ 7 | perl \ 8 | python3 \ 9 | gcc \ 10 | libc-dev \ 11 | pkgconf \ 12 | libglib2.0-dev 13 | Run apt-get install -y --no-install-recommends \ 14 | zlib1g-dev \ 15 | build-essential \ 16 | libpixman-1-dev 17 | 18 | RUN apt-get install -y --no-install-recommends git \ 19 | patch \ 20 | bash \ 21 | device-tree-compiler \ 22 | bison \ 23 | flex 24 | 25 | RUN apt-get update && apt-get install -y --no-install-recommends \ 26 | gawk \ 27 | expat \ 28 | telnet \ 29 | libyaml-dev \ 30 | libelf-dev \ 31 | gdisk \ 32 | parted \ 33 | libssl-dev \ 34 | bc \ 35 | sudo \ 36 | ninja-build 37 | 38 | 39 | RUN apt-get install -y --no-install-recommends \ 40 | autoconf automake autotools-dev curl \ 41 | libmpc-dev libmpfr-dev libgmp-dev \ 42 | gperf libtool patchutils libexpat-dev \ 43 | libfdt-dev \ 44 | libpng-dev \ 45 | libslirp-dev \ 46 | libpulse-dev 47 | 48 | RUN apt-get autoremove 49 | RUN apt-get clean && \ 50 | rm -rf /var/lib/apt/lists/* 51 | 52 | 53 | 54 | 55 | -------------------------------------------------------------------------------- /x86-exp/Makefile: -------------------------------------------------------------------------------- 1 | all: cloudsuite.pdf cloudsuite.tex 2 | 3 | .DELETE_ON_ERROR: 4 | 5 | %.pdf: %.eps 6 | epstopdf $< 7 | 8 | cloudsuite.eps cloudsuite.tex: cloudsuite.gnuplot cloudsuite.dat 9 | gnuplot $< 10 | 11 | cloudsuite.dat: process.py $(wildcard data/*/*/*.log) 12 | python3 process.py data > $@ 13 | 14 | clean:: 15 | $(RM) cloudsuite.eps cloudsuite.tex cloudsuite.pdf cloudsuite.dat 16 | -------------------------------------------------------------------------------- /x86-exp/check_qos.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python3 2 | 3 | import sys 4 | import statistics 5 | import typing as t 6 | 7 | def iter_fields(file: t.TextIO, fieldnames: t.Sequence[str]) -> t.Iterator[t.Tuple[float, ...]]: 8 | columns = None 9 | for line in file: 10 | print(line, end="") 11 | if line.startswith(" ") and ',' in line: 12 | if line[2].isdigit(): 13 | assert columns is not None 14 | fields = line.split(",") 15 | yield tuple(float(fields[c]) for c in columns) 16 | elif columns is None: 17 | column_names = [s.strip() for s in line.split(",")] 18 | columns = [column_names.index(f) for f in fieldnames] 19 | 20 | def main(args): 21 | if args: 22 | qos_target = int(args[0]) 23 | else: 24 | qos_target = 10 25 | 26 | rpsdata = [] 27 | elapsed: t.Optional[float] = None 28 | for (timeDiff, rps, lat) in iter_fields(sys.stdin, ("timeDiff", "rps", "95th",)): 29 | if elapsed is None: # first line has a bogus time stamp 30 | elapsed = 0.0 31 | else: 32 | elapsed += timeDiff 33 | 34 | if elapsed > 30: # give time to stabilise 35 | rpsdata.append(rps) 36 | if qos_target > 0 and lat >= qos_target: 37 | print(f"QoS failed: 95% latency {lat} exceeded {qos_target}ms target", file=sys.stderr) 38 | sys.exit(1) 39 | 40 | if qos_target > 0: 41 | print("QoS target met", file=sys.stderr) 42 | 43 | print(f"mean RPS {statistics.mean(rpsdata)}", file=sys.stderr) 44 | 45 | if __name__ == "__main__": 46 | main(sys.argv[1:]) 47 | -------------------------------------------------------------------------------- /x86-exp/cloudsuite.gnuplot: -------------------------------------------------------------------------------- 1 | set terminal epslatex color size 3.8in, 1.5in fontscale 0.66 2 | set output 'cloudsuite.tex' 3 | set grid ytic 4 | set key samplen 3 5 | 6 | #set datafile columnheaders 7 | set datafile separator tab 8 | #set datafile missing nan 9 | 10 | box_width=0.17 11 | set boxwidth box_width absolute 12 | 13 | ### Set up style per plot 14 | num_plot = 3 15 | array colors[3] 16 | array patterns[3] 17 | colors[1]="#FF7F0E" 18 | patterns[1] = 3 19 | colors[2]="#136695" 20 | patterns[2] = 15 21 | colors[3]="#136695" 22 | patterns[3] = 22 23 | 24 | set key bottom right opaque height 0.75 width 1.5 box Left reverse 25 | set xtics border in scale 0,0 nomirror rotate by -20 offset -2.5 autojustify 26 | set xtics norangelimit 27 | set xtics () 28 | set xrange [-0.4:3.8] 29 | set yrange [0:110] 30 | set notitle 31 | set ylabel "Performance vs.\\ native" #offset 1,0 32 | set format y "%.0f\\%%" 33 | set ytic 25 34 | box_width=box_width+0.02 35 | 36 | plot "cloudsuite.dat" skip 1 using 0:(0):xtic(1) with boxes notitle, \ 37 | for [i=1:num_plot] "" using ($0+box_width*(i-num_plot/2)):(column(i+1)) w boxes ti columnhead(i+1) fill pattern patterns[i] lc rgb colors[i] lw 3, \ 38 | for [i=1:num_plot] "" using (($0-1)+box_width*(i-num_plot/2)):(column(i+1)):(column(i+1+num_plot)) w yerrorbars notitle lw 1.5 ps 0 lc rgb "black" 39 | -------------------------------------------------------------------------------- /x86-exp/collect-local.sh: -------------------------------------------------------------------------------- 1 | #!/bin/bash 2 | 3 | # Script run on the target, to collect local benchmarks (graph-analytics, in-memory-analytics). 4 | SPARK_ARGS="--driver-memory 15g --executor-memory 15g" 5 | NRUNS=20 6 | 7 | docker pull cloudsuite3/graph-analytics 8 | docker pull cloudsuite3/twitter-dataset-graph 9 | docker container inspect data > /dev/null || docker create --name data cloudsuite3/twitter-dataset-graph 10 | 11 | docker pull cloudsuite3/in-memory-analytics 12 | docker pull cloudsuite3/movielens-dataset 13 | docker container inspect moviedata > /dev/null || docker create --name moviedata cloudsuite3/movielens-dataset 14 | 15 | set -ex 16 | 17 | for i in $(seq -w 1 $NRUNS); do 18 | docker run --rm --volumes-from data cloudsuite3/graph-analytics $SPARK_ARGS > graph-analytics-$i.log 19 | docker run --rm --volumes-from moviedata cloudsuite3/in-memory-analytics /data/ml-latest /data/myratings.csv $SPARK_ARGS > in-memory-analytics-$i.log 20 | done 21 | -------------------------------------------------------------------------------- /x86-exp/data/data-caching/native/qos.log: -------------------------------------------------------------------------------- 1 | qos-222500.log -------------------------------------------------------------------------------- /x86-exp/data/data-caching/slice/qos.log: -------------------------------------------------------------------------------- 1 | qos-222500.log -------------------------------------------------------------------------------- /x86-exp/data/data-caching/vm1g/qos.log: -------------------------------------------------------------------------------- 1 | qos-207031.log -------------------------------------------------------------------------------- /x86-exp/data/data-caching/vm2m/qos.log: -------------------------------------------------------------------------------- 1 | qos-209843.log -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/native/graph-analytics-01.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.89749037 3 | Running time = 44102 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/native/graph-analytics-02.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 46889 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/native/graph-analytics-03.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 41564 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/native/graph-analytics-04.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490368 3 | Running time = 48747 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/native/graph-analytics-05.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 42739 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/native/graph-analytics-06.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 46832 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/native/graph-analytics-07.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490368 3 | Running time = 43192 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/native/graph-analytics-08.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.89749037 3 | Running time = 41850 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/native/graph-analytics-09.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 43101 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/native/graph-analytics-10.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 41457 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/native/graph-analytics-11.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 47567 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/native/graph-analytics-12.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 44240 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/native/graph-analytics-13.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.89749037 3 | Running time = 42016 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/native/graph-analytics-14.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490368 3 | Running time = 46591 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/native/graph-analytics-15.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490368 3 | Running time = 42720 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/native/graph-analytics-16.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.89749037 3 | Running time = 45513 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/native/graph-analytics-17.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.89749037 3 | Running time = 42806 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/native/graph-analytics-18.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490368 3 | Running time = 49363 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/native/graph-analytics-19.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 41858 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/native/graph-analytics-20.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 43404 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/slice/graph-analytics-01.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.89749037 3 | Running time = 47663 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/slice/graph-analytics-02.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 48314 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/slice/graph-analytics-03.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 42319 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/slice/graph-analytics-04.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490368 3 | Running time = 47043 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/slice/graph-analytics-05.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 40160 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/slice/graph-analytics-06.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 42488 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/slice/graph-analytics-07.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 41792 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/slice/graph-analytics-08.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.89749037 3 | Running time = 41684 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/slice/graph-analytics-09.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 43439 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/slice/graph-analytics-10.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490368 3 | Running time = 42761 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/slice/graph-analytics-11.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.89749037 3 | Running time = 45660 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/slice/graph-analytics-12.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 42050 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/slice/graph-analytics-13.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 42918 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/slice/graph-analytics-14.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 47100 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/slice/graph-analytics-15.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.89749037 3 | Running time = 41856 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/slice/graph-analytics-16.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490368 3 | Running time = 41602 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/slice/graph-analytics-17.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 43043 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/slice/graph-analytics-18.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 48097 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/slice/graph-analytics-19.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.89749037 3 | Running time = 48194 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/slice/graph-analytics-20.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 43518 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/vm1g/graph-analytics-01.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.89749037 3 | Running time = 50170 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/vm1g/graph-analytics-02.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.89749037 3 | Running time = 50041 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/vm1g/graph-analytics-03.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 45880 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/vm1g/graph-analytics-04.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 45115 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/vm1g/graph-analytics-05.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 48968 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/vm1g/graph-analytics-06.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.89749037 3 | Running time = 43525 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/vm1g/graph-analytics-07.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 49305 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/vm1g/graph-analytics-08.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 43619 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/vm1g/graph-analytics-09.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 49893 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/vm1g/graph-analytics-10.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 49721 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/vm1g/graph-analytics-11.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 44525 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/vm1g/graph-analytics-12.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 48656 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/vm1g/graph-analytics-13.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.89749037 3 | Running time = 44614 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/vm1g/graph-analytics-14.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 48324 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/vm1g/graph-analytics-15.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 50488 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/vm1g/graph-analytics-16.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.89749037 3 | Running time = 48088 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/vm1g/graph-analytics-17.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 48869 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/vm1g/graph-analytics-18.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 49383 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/vm1g/graph-analytics-19.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.89749037 3 | Running time = 47894 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/vm1g/graph-analytics-20.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 48664 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/vm2m/graph-analytics-01.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.89749037 3 | Running time = 41862 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/vm2m/graph-analytics-02.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 46832 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/vm2m/graph-analytics-03.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 48376 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/vm2m/graph-analytics-04.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 49560 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/vm2m/graph-analytics-05.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 44412 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/vm2m/graph-analytics-06.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 48223 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/vm2m/graph-analytics-07.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.89749037 3 | Running time = 51065 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/vm2m/graph-analytics-08.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 45087 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/vm2m/graph-analytics-09.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 48879 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/vm2m/graph-analytics-10.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.89749037 3 | Running time = 44676 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/vm2m/graph-analytics-11.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 49598 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/vm2m/graph-analytics-12.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.89749037 3 | Running time = 48778 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/vm2m/graph-analytics-13.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 48693 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/vm2m/graph-analytics-14.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 49386 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/vm2m/graph-analytics-15.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 44574 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/vm2m/graph-analytics-16.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.89749037 3 | Running time = 42481 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/vm2m/graph-analytics-17.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 43918 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/vm2m/graph-analytics-18.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 47472 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/vm2m/graph-analytics-19.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 42677 4 | -------------------------------------------------------------------------------- /x86-exp/data/graph-analytics/vm2m/graph-analytics-20.log: -------------------------------------------------------------------------------- 1 | Running PageRank 2 | Total PageRank = 5281687.897490369 3 | Running time = 49646 4 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/native/in-memory-analytics-01.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8223195843103025 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8214268292535007 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8173736693821614 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8177644333649114 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 10, and its RMSE on the test set is 0.8170901949711444. 12 | The best model improves the baseline by 23.28%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: Fantastic Lies (2016) 17 | 4: The Immoral Mr. Teas (1959) 18 | 5: The Keepers (2017) 19 | 6: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 20 | 7: Atharintiki Daaredi (2013) 21 | 8: The Marquis (2011) 22 | 9: Love Life (2001) 23 | 10: Tintin and the Lake of Sharks (1972) 24 | 11: The Great American Girl Robbery (1979) 25 | 12: Heaven Is a Playground (1991) 26 | 13: Frankenstein Conquers the World (1965) 27 | 14: Monster High: Fright On! (2011) 28 | 15: Sex Is Zero (2002) 29 | 16: Lavalantula (2015) 30 | 17: Lemonade Mouth (2011) 31 | 18: More Brains! A Return to the Living Dead (2011) 32 | 19: Alien Tornado (2012) 33 | 20: Rio Diablo (1993) 34 | 21: Far Out Man (1990) 35 | 22: Emmanuelle 5 (1987) 36 | 23: UFO - Distruggete base Luna! (1971) 37 | 24: Evilenko (2004) 38 | 25: The Prodigies (2011) 39 | 26: The Story of Asya Klyachina (1966) 40 | 27: Mamitas (2011) 41 | 28: PSYCHO-PASS: The Movie (2016) 42 | 29: Love Is Blind (2013) 43 | 30: Mixed Kebab (2012) 44 | 31: Losing the North (2015) 45 | 32: Estamos Juntos (2011) 46 | 33: Heroes Shed No Tears (1986) 47 | 34: Vampyres (1974) 48 | 35: "2013 Rock and Roll Hall of Fame Induction Ceremony 49 | 36: Night of the Day of the Dawn of the Son of the Bride of the Return of the Terror (1991) 50 | 37: Zakochani (2000) 51 | 38: Susie Q (1996) 52 | 39: Ali Baba Bunny (1957) 53 | 40: "Mahabharata 54 | 41: Last Day of Summer (2009) 55 | 42: Farmageddon (2011) 56 | 43: Daisy Town (1971) 57 | 44: Tr?mulo (2015) 58 | 45: "Muppet Christmas: Letters to Santa 59 | 46: Lost in a Harem (1944) 60 | 47: "Passion of Ayn Rand 61 | 48: The Spacewalker (2017) 62 | 49: Horrorvision (2001) 63 | 50: Just Write (1997) 64 | Benchmark execution time: 714299ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/native/in-memory-analytics-02.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8228952221639854 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8222667402552002 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8214854133328583 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.816640602752535 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8163654668658705. 12 | The best model improves the baseline by 23.35%. 13 | Movies recommended for you: 14 | 1: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 15 | 2: Hamoun (1990) 16 | 3: The Marquis (2011) 17 | 4: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 18 | 5: The Great American Girl Robbery (1979) 19 | 6: Tintin and the Lake of Sharks (1972) 20 | 7: The Immoral Mr. Teas (1959) 21 | 8: Alien Tornado (2012) 22 | 9: Sex Is Zero (2002) 23 | 10: Heaven Is a Playground (1991) 24 | 11: Monster High: Fright On! (2011) 25 | 12: UFO - Distruggete base Luna! (1971) 26 | 13: Duplicate (1998) 27 | 14: Lavalantula (2015) 28 | 15: Rio Diablo (1993) 29 | 16: The Prodigies (2011) 30 | 17: Mamitas (2011) 31 | 18: Far Out Man (1990) 32 | 19: More Brains! A Return to the Living Dead (2011) 33 | 20: The Keepers (2017) 34 | 21: "2013 Rock and Roll Hall of Fame Induction Ceremony 35 | 22: Atharintiki Daaredi (2013) 36 | 23: Night of the Day of the Dawn of the Son of the Bride of the Return of the Terror (1991) 37 | 24: PSYCHO-PASS: The Movie (2016) 38 | 25: Ali Baba Bunny (1957) 39 | 26: Frankenstein Conquers the World (1965) 40 | 27: Susie Q (1996) 41 | 28: Zakochani (2000) 42 | 29: Last Day of Summer (2009) 43 | 30: Estamos Juntos (2011) 44 | 31: 1 (2014) 45 | 32: Lemonade Mouth (2011) 46 | 33: Fantastic Lies (2016) 47 | 34: "Mahabharata 48 | 35: Daisy Town (1971) 49 | 36: Extreme Private Eros: Love Song 1974 (1974) 50 | 37: Company (2002) 51 | 38: Manhattan Romance (2015) 52 | 39: Spine Tingler! The William Castle Story (2007) 53 | 40: Emmanuelle 5 (1987) 54 | 41: Here Without Me (Inja bedoone man) (2011) 55 | 42: Provocateur (1998) 56 | 43: "Rage 57 | 44: Farmageddon (2011) 58 | 45: Love Is Blind (2013) 59 | 46: Hatchet III (2013) 60 | 47: The Harmony Game (2011) 61 | 48: Desierto (2016) 62 | 49: The War at Home (1979) 63 | 50: The Story of Asya Klyachina (1966) 64 | Benchmark execution time: 756090ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/native/in-memory-analytics-03.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.821269873986701 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8206280878023916 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8185662056050392 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8170792653624804 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8168126241645666. 12 | The best model improves the baseline by 23.31%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: The Story of Asya Klyachina (1966) 17 | 4: Atharintiki Daaredi (2013) 18 | 5: The Great American Girl Robbery (1979) 19 | 6: The Marquis (2011) 20 | 7: The Keepers (2017) 21 | 8: Sex Is Zero (2002) 22 | 9: Tintin and the Lake of Sharks (1972) 23 | 10: 1 (2014) 24 | 11: Love Life (2001) 25 | 12: Lavalantula (2015) 26 | 13: Estamos Juntos (2011) 27 | 14: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 28 | 15: Fantastic Lies (2016) 29 | 16: Frankenstein Conquers the World (1965) 30 | 17: Heaven Is a Playground (1991) 31 | 18: Love Is Blind (2013) 32 | 19: Monster High: Fright On! (2011) 33 | 20: "Mahabharata 34 | 21: PSYCHO-PASS: The Movie (2016) 35 | 22: Kokoko (2012) 36 | 23: Patient Zero (2017) 37 | 24: More Brains! A Return to the Living Dead (2011) 38 | 25: The Immoral Mr. Teas (1959) 39 | 26: The Prodigies (2011) 40 | 27: UFO - Distruggete base Luna! (1971) 41 | 28: Rio Diablo (1993) 42 | 29: Tr?mulo (2015) 43 | 30: The Boss's Daughter (2016) 44 | 31: Mixed Kebab (2012) 45 | 32: Alien Tornado (2012) 46 | 33: Last Day of Summer (2009) 47 | 34: Daisy Town (1971) 48 | 35: "2013 Rock and Roll Hall of Fame Induction Ceremony 49 | 36: A Year in Burgundy (2013) 50 | 37: Far Out Man (1990) 51 | 38: Lost in a Harem (1944) 52 | 39: Spoiler (1998) 53 | 40: Beltracchi - The Art of the Forgery (2014) 54 | 41: Desierto (2016) 55 | 42: Jeff Dunham: Arguing with Myself (2006) 56 | 43: Ali Baba Bunny (1957) 57 | 44: Emmanuelle 5 (1987) 58 | 45: Just Write (1997) 59 | 46: Scooby-Doo! Frankencreepy (2014) 60 | 47: Losing the North (2015) 61 | 48: Garage Olimpo (1999) 62 | 49: Lagerfeld Confidential (2007) 63 | 50: Punk Vacation (1987) 64 | Benchmark execution time: 721957ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/native/in-memory-analytics-04.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8265405925550241 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8205677598557427 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8191191848556489 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8176752908679447 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8173931361687125. 12 | The best model improves the baseline by 23.25%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: The Great American Girl Robbery (1979) 17 | 4: Fantastic Lies (2016) 18 | 5: Atharintiki Daaredi (2013) 19 | 6: The Keepers (2017) 20 | 7: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 21 | 8: Tintin and the Lake of Sharks (1972) 22 | 9: The Immoral Mr. Teas (1959) 23 | 10: The Marquis (2011) 24 | 11: 1 (2014) 25 | 12: Love Life (2001) 26 | 13: Heaven Is a Playground (1991) 27 | 14: Night of the Day of the Dawn of the Son of the Bride of the Return of the Terror (1991) 28 | 15: The Story of Asya Klyachina (1966) 29 | 16: Sex Is Zero (2002) 30 | 17: Frankenstein Conquers the World (1965) 31 | 18: Patient Zero (2017) 32 | 19: Love Is Blind (2013) 33 | 20: PSYCHO-PASS: The Movie (2016) 34 | 21: More Brains! A Return to the Living Dead (2011) 35 | 22: Alien Tornado (2012) 36 | 23: Monster High: Fright On! (2011) 37 | 24: Estamos Juntos (2011) 38 | 25: "Mahabharata 39 | 26: The Prodigies (2011) 40 | 27: Duplicate (1998) 41 | 28: Rio Diablo (1993) 42 | 29: Lemonade Mouth (2011) 43 | 30: Tiger Orange (2014) 44 | 31: Beltracchi - The Art of the Forgery (2014) 45 | 32: UFO - Distruggete base Luna! (1971) 46 | 33: Emmanuelle 5 (1987) 47 | 34: Lavalantula (2015) 48 | 35: Ali Baba Bunny (1957) 49 | 36: Far Out Man (1990) 50 | 37: Steal This Film II (2007) 51 | 38: "2013 Rock and Roll Hall of Fame Induction Ceremony 52 | 39: Losing the North (2015) 53 | 40: Tr?mulo (2015) 54 | 41: Last Day of Summer (2009) 55 | 42: Here Without Me (Inja bedoone man) (2011) 56 | 43: Swept Under (2015) 57 | 44: Desierto (2016) 58 | 45: Daisy Town (1971) 59 | 46: Just Write (1997) 60 | 47: Zakochani (2000) 61 | 48: Susie Q (1996) 62 | 49: Farmageddon (2011) 63 | 50: Bugcrush (2006) 64 | Benchmark execution time: 754624ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/native/in-memory-analytics-06.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8211982609079174 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8208481225995643 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8186835724508127 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8173044272638793 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8170174664768716. 12 | The best model improves the baseline by 23.29%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: Atharintiki Daaredi (2013) 17 | 4: The Keepers (2017) 18 | 5: The Great American Girl Robbery (1979) 19 | 6: 1 (2014) 20 | 7: The Marquis (2011) 21 | 8: Frankenstein Conquers the World (1965) 22 | 9: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 23 | 10: Love Life (2001) 24 | 11: The Immoral Mr. Teas (1959) 25 | 12: Fantastic Lies (2016) 26 | 13: Tintin and the Lake of Sharks (1972) 27 | 14: Sex Is Zero (2002) 28 | 15: Heaven Is a Playground (1991) 29 | 16: The Story of Asya Klyachina (1966) 30 | 17: More Brains! A Return to the Living Dead (2011) 31 | 18: Lavalantula (2015) 32 | 19: PSYCHO-PASS: The Movie (2016) 33 | 20: The Prodigies (2011) 34 | 21: Estamos Juntos (2011) 35 | 22: UFO - Distruggete base Luna! (1971) 36 | 23: Heroes Shed No Tears (1986) 37 | 24: Vampyres (1974) 38 | 25: Monster High: Fright On! (2011) 39 | 26: "Mahabharata 40 | 27: Far Out Man (1990) 41 | 28: Mamitas (2011) 42 | 29: Patient Zero (2017) 43 | 30: Losing the North (2015) 44 | 31: Rio Diablo (1993) 45 | 32: Don't You Forget About Me (2009) 46 | 33: "2013 Rock and Roll Hall of Fame Induction Ceremony 47 | 34: Just Write (1997) 48 | 35: Daisy Town (1971) 49 | 36: Lemonade Mouth (2011) 50 | 37: Lost in a Harem (1944) 51 | 38: Love Is Blind (2013) 52 | 39: Scavenger Hunt (1979) 53 | 40: Tr?mulo (2015) 54 | 41: Desierto (2016) 55 | 42: Emmanuelle 5 (1987) 56 | 43: Punk Vacation (1987) 57 | 44: Seven Dwarfs (2004) 58 | 45: Kokoko (2012) 59 | 46: The War at Home (1979) 60 | 47: Here Without Me (Inja bedoone man) (2011) 61 | 48: How to Fall in Love (2012) 62 | 49: Alien Tornado (2012) 63 | 50: Duplicate (1998) 64 | Benchmark execution time: 814557ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/native/in-memory-analytics-08.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8224492796959615 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8210970677694734 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8205364269893225 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8167222158802311 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.816412355585559. 12 | The best model improves the baseline by 23.34%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 17 | 4: The Keepers (2017) 18 | 5: The Great American Girl Robbery (1979) 19 | 6: 1 (2014) 20 | 7: Love Life (2001) 21 | 8: The Marquis (2011) 22 | 9: The Immoral Mr. Teas (1959) 23 | 10: Tintin and the Lake of Sharks (1972) 24 | 11: Sex Is Zero (2002) 25 | 12: Lavalantula (2015) 26 | 13: Frankenstein Conquers the World (1965) 27 | 14: Alien Tornado (2012) 28 | 15: Atharintiki Daaredi (2013) 29 | 16: Heaven Is a Playground (1991) 30 | 17: Lemonade Mouth (2011) 31 | 18: Monster High: Fright On! (2011) 32 | 19: Rio Diablo (1993) 33 | 20: The Prodigies (2011) 34 | 21: More Brains! A Return to the Living Dead (2011) 35 | 22: Shock Head Soul (2011) 36 | 23: Far Out Man (1990) 37 | 24: UFO - Distruggete base Luna! (1971) 38 | 25: Just Write (1997) 39 | 26: PSYCHO-PASS: The Movie (2016) 40 | 27: The Story of Asya Klyachina (1966) 41 | 28: Estamos Juntos (2011) 42 | 29: Heroes Shed No Tears (1986) 43 | 30: Vampyres (1974) 44 | 31: "Mahabharata 45 | 32: Night of the Day of the Dawn of the Son of the Bride of the Return of the Terror (1991) 46 | 33: "2013 Rock and Roll Hall of Fame Induction Ceremony 47 | 34: Here Without Me (Inja bedoone man) (2011) 48 | 35: Desierto (2016) 49 | 36: Love Is Blind (2013) 50 | 37: Patient Zero (2017) 51 | 38: Daisy Town (1971) 52 | 39: Susie Q (1996) 53 | 40: Emmanuelle 5 (1987) 54 | 41: Losing the North (2015) 55 | 42: Ali Baba Bunny (1957) 56 | 43: Provocateur (1998) 57 | 44: Tiger Orange (2014) 58 | 45: Thor: Ragnarok (2017) 59 | 46: Tr?mulo (2015) 60 | 47: "Stolen Collection 61 | 48: The Emperor in August (2015) 62 | 49: Mamitas (2011) 63 | 50: Manhattan Romance (2015) 64 | Benchmark execution time: 743446ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/native/in-memory-analytics-09.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8192793322647559 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8217803327867601 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8233719046953302 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8169201163703028 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8166443406261802. 12 | The best model improves the baseline by 23.32%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: The Great American Girl Robbery (1979) 17 | 4: Atharintiki Daaredi (2013) 18 | 5: The Keepers (2017) 19 | 6: The Marquis (2011) 20 | 7: 1 (2014) 21 | 8: Tintin and the Lake of Sharks (1972) 22 | 9: Sex Is Zero (2002) 23 | 10: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 24 | 11: Frankenstein Conquers the World (1965) 25 | 12: The Immoral Mr. Teas (1959) 26 | 13: Heaven Is a Playground (1991) 27 | 14: Fantastic Lies (2016) 28 | 15: Estamos Juntos (2011) 29 | 16: Love Life (2001) 30 | 17: "Mahabharata 31 | 18: Love Is Blind (2013) 32 | 19: More Brains! A Return to the Living Dead (2011) 33 | 20: Monster High: Fright On! (2011) 34 | 21: PSYCHO-PASS: The Movie (2016) 35 | 22: The Story of Asya Klyachina (1966) 36 | 23: Lavalantula (2015) 37 | 24: Patient Zero (2017) 38 | 25: The Prodigies (2011) 39 | 26: UFO - Distruggete base Luna! (1971) 40 | 27: Mixed Kebab (2012) 41 | 28: Rio Diablo (1993) 42 | 29: Far Out Man (1990) 43 | 30: Tr?mulo (2015) 44 | 31: Mamitas (2011) 45 | 32: Lemonade Mouth (2011) 46 | 33: "2013 Rock and Roll Hall of Fame Induction Ceremony 47 | 34: Daisy Town (1971) 48 | 35: Tiger Orange (2014) 49 | 36: Duplicate (1998) 50 | 37: Lost in a Harem (1944) 51 | 38: Last Day of Summer (2009) 52 | 39: Alien Tornado (2012) 53 | 40: Beltracchi - The Art of the Forgery (2014) 54 | 41: Desierto (2016) 55 | 42: Extreme Private Eros: Love Song 1974 (1974) 56 | 43: "Tripper 57 | 44: Night of the Day of the Dawn of the Son of the Bride of the Return of the Terror (1991) 58 | 45: Losing the North (2015) 59 | 46: A Year in Burgundy (2013) 60 | 47: Just Write (1997) 61 | 48: Don't You Forget About Me (2009) 62 | 49: "Passion of Ayn Rand 63 | 50: Spine Tingler! The William Castle Story (2007) 64 | Benchmark execution time: 817820ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/native/in-memory-analytics-10.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8212793704903869 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8211670470881528 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8186816173533944 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8166180805122311 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8163401621570472. 12 | The best model improves the baseline by 23.35%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: The Great American Girl Robbery (1979) 17 | 4: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 18 | 5: Atharintiki Daaredi (2013) 19 | 6: The Marquis (2011) 20 | 7: Sex Is Zero (2002) 21 | 8: The Immoral Mr. Teas (1959) 22 | 9: The Keepers (2017) 23 | 10: Tintin and the Lake of Sharks (1972) 24 | 11: The Story of Asya Klyachina (1966) 25 | 12: Heaven Is a Playground (1991) 26 | 13: Fantastic Lies (2016) 27 | 14: Monster High: Fright On! (2011) 28 | 15: Frankenstein Conquers the World (1965) 29 | 16: Estamos Juntos (2011) 30 | 17: Lemonade Mouth (2011) 31 | 18: The Prodigies (2011) 32 | 19: Ali Baba Bunny (1957) 33 | 20: More Brains! A Return to the Living Dead (2011) 34 | 21: Rio Diablo (1993) 35 | 22: Patient Zero (2017) 36 | 23: "Mahabharata 37 | 24: Lavalantula (2015) 38 | 25: Love Life (2001) 39 | 26: UFO - Distruggete base Luna! (1971) 40 | 27: PSYCHO-PASS: The Movie (2016) 41 | 28: "2013 Rock and Roll Hall of Fame Induction Ceremony 42 | 29: Night of the Day of the Dawn of the Son of the Bride of the Return of the Terror (1991) 43 | 30: Scavenger Hunt (1979) 44 | 31: Far Out Man (1990) 45 | 32: Kokoko (2012) 46 | 33: Love Is Blind (2013) 47 | 34: Losing the North (2015) 48 | 35: Beltracchi - The Art of the Forgery (2014) 49 | 36: Alien Tornado (2012) 50 | 37: Last Day of Summer (2009) 51 | 38: Emmanuelle 5 (1987) 52 | 39: Here Without Me (Inja bedoone man) (2011) 53 | 40: Susie Q (1996) 54 | 41: Daisy Town (1971) 55 | 42: Mixed Kebab (2012) 56 | 43: The Boss's Daughter (2016) 57 | 44: "Tramp 58 | 45: 1 (2014) 59 | 46: Zakochani (2000) 60 | 47: Tiger Orange (2014) 61 | 48: Desierto (2016) 62 | 49: Spine Tingler! The William Castle Story (2007) 63 | 50: Farmageddon (2011) 64 | Benchmark execution time: 656843ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/native/in-memory-analytics-11.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8201479752458402 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8210805151255576 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8202289576324794 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8172234530778346 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8169096795209182. 12 | The best model improves the baseline by 23.30%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: The Keepers (2017) 17 | 4: The Great American Girl Robbery (1979) 18 | 5: The Story of Asya Klyachina (1966) 19 | 6: The Immoral Mr. Teas (1959) 20 | 7: The Marquis (2011) 21 | 8: 1 (2014) 22 | 9: Atharintiki Daaredi (2013) 23 | 10: Love Life (2001) 24 | 11: Tintin and the Lake of Sharks (1972) 25 | 12: Alien Tornado (2012) 26 | 13: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 27 | 14: Lemonade Mouth (2011) 28 | 15: Frankenstein Conquers the World (1965) 29 | 16: Heaven Is a Playground (1991) 30 | 17: Sex Is Zero (2002) 31 | 18: Lavalantula (2015) 32 | 19: The Prodigies (2011) 33 | 20: Monster High: Fright On! (2011) 34 | 21: More Brains! A Return to the Living Dead (2011) 35 | 22: Rio Diablo (1993) 36 | 23: Heroes Shed No Tears (1986) 37 | 24: Vampyres (1974) 38 | 25: PSYCHO-PASS: The Movie (2016) 39 | 26: Duplicate (1998) 40 | 27: Far Out Man (1990) 41 | 28: Estamos Juntos (2011) 42 | 29: Night of the Day of the Dawn of the Son of the Bride of the Return of the Terror (1991) 43 | 30: "Mahabharata 44 | 31: Love Is Blind (2013) 45 | 32: Shock Head Soul (2011) 46 | 33: Patient Zero (2017) 47 | 34: Mixed Kebab (2012) 48 | 35: UFO - Distruggete base Luna! (1971) 49 | 36: Losing the North (2015) 50 | 37: Just Write (1997) 51 | 38: Kokoko (2012) 52 | 39: Daisy Town (1971) 53 | 40: Punk Vacation (1987) 54 | 41: "2013 Rock and Roll Hall of Fame Induction Ceremony 55 | 42: Desierto (2016) 56 | 43: Fantastic Lies (2016) 57 | 44: Tiger Orange (2014) 58 | 45: Scavenger Hunt (1979) 59 | 46: "Passion of Ayn Rand 60 | 47: Susie Q (1996) 61 | 48: The Boss's Daughter (2016) 62 | 49: Lost in a Harem (1944) 63 | 50: Mamitas (2011) 64 | Benchmark execution time: 703068ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/native/in-memory-analytics-12.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8212308685064245 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8205250356965642 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8201615786559664 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8173087248382676 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8170262973540461. 12 | The best model improves the baseline by 23.29%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: The Story of Asya Klyachina (1966) 17 | 4: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 18 | 5: The Great American Girl Robbery (1979) 19 | 6: The Keepers (2017) 20 | 7: Love Life (2001) 21 | 8: The Immoral Mr. Teas (1959) 22 | 9: The Marquis (2011) 23 | 10: Tintin and the Lake of Sharks (1972) 24 | 11: 1 (2014) 25 | 12: Atharintiki Daaredi (2013) 26 | 13: Sex Is Zero (2002) 27 | 14: Kokoko (2012) 28 | 15: Alien Tornado (2012) 29 | 16: Heaven Is a Playground (1991) 30 | 17: The Boss's Daughter (2016) 31 | 18: The Prodigies (2011) 32 | 19: More Brains! A Return to the Living Dead (2011) 33 | 20: Frankenstein Conquers the World (1965) 34 | 21: Love Is Blind (2013) 35 | 22: Lavalantula (2015) 36 | 23: Fantastic Lies (2016) 37 | 24: Rio Diablo (1993) 38 | 25: UFO - Distruggete base Luna! (1971) 39 | 26: PSYCHO-PASS: The Movie (2016) 40 | 27: Just Write (1997) 41 | 28: Lemonade Mouth (2011) 42 | 29: Monster High: Fright On! (2011) 43 | 30: "Mahabharata 44 | 31: "2013 Rock and Roll Hall of Fame Induction Ceremony 45 | 32: Mixed Kebab (2012) 46 | 33: Patient Zero (2017) 47 | 34: Far Out Man (1990) 48 | 35: Here Without Me (Inja bedoone man) (2011) 49 | 36: Zakochani (2000) 50 | 37: Ali Baba Bunny (1957) 51 | 38: Night of the Day of the Dawn of the Son of the Bride of the Return of the Terror (1991) 52 | 39: Tr?mulo (2015) 53 | 40: Tiger Orange (2014) 54 | 41: Daisy Town (1971) 55 | 42: Desierto (2016) 56 | 43: Susie Q (1996) 57 | 44: Losing the North (2015) 58 | 45: Emmanuelle 5 (1987) 59 | 46: Last Day of Summer (2009) 60 | 47: "Stolen Collection 61 | 48: Duplicate (1998) 62 | 49: Salam Neighbor (2015) 63 | 50: Jellyfish Eyes (2013) 64 | Benchmark execution time: 780334ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/native/in-memory-analytics-13.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8207845980390541 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8212432429418424 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8192324814777225 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8168491135973547 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8165592173062166. 12 | The best model improves the baseline by 23.33%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: The Immoral Mr. Teas (1959) 16 | 3: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 17 | 4: The Story of Asya Klyachina (1966) 18 | 5: The Keepers (2017) 19 | 6: Atharintiki Daaredi (2013) 20 | 7: The Great American Girl Robbery (1979) 21 | 8: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 22 | 9: Tintin and the Lake of Sharks (1972) 23 | 10: The Marquis (2011) 24 | 11: Love Life (2001) 25 | 12: Sex Is Zero (2002) 26 | 13: Heaven Is a Playground (1991) 27 | 14: The Prodigies (2011) 28 | 15: Scavenger Hunt (1979) 29 | 16: Estamos Juntos (2011) 30 | 17: Frankenstein Conquers the World (1965) 31 | 18: UFO - Distruggete base Luna! (1971) 32 | 19: Emmanuelle 5 (1987) 33 | 20: Alien Tornado (2012) 34 | 21: "Mahabharata 35 | 22: 1 (2014) 36 | 23: Lemonade Mouth (2011) 37 | 24: Kokoko (2012) 38 | 25: More Brains! A Return to the Living Dead (2011) 39 | 26: Monster High: Fright On! (2011) 40 | 27: Patient Zero (2017) 41 | 28: Losing the North (2015) 42 | 29: Love Is Blind (2013) 43 | 30: Punk Vacation (1987) 44 | 31: Tiger Orange (2014) 45 | 32: Rio Diablo (1993) 46 | 33: Far Out Man (1990) 47 | 34: Lavalantula (2015) 48 | 35: PSYCHO-PASS: The Movie (2016) 49 | 36: Duplicate (1998) 50 | 37: Mixed Kebab (2012) 51 | 38: The Boss's Daughter (2016) 52 | 39: Mamitas (2011) 53 | 40: Just Write (1997) 54 | 41: Farmageddon (2011) 55 | 42: Heroes Shed No Tears (1986) 56 | 43: Vampyres (1974) 57 | 44: Daisy Town (1971) 58 | 45: Desierto (2016) 59 | 46: Night of the Day of the Dawn of the Son of the Bride of the Return of the Terror (1991) 60 | 47: Tr?mulo (2015) 61 | 48: Zakochani (2000) 62 | 49: Beltracchi - The Art of the Forgery (2014) 63 | 50: "Stolen Collection 64 | Benchmark execution time: 706909ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/native/in-memory-analytics-14.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8240297723890758 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8213163231000108 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.816899179559463 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.818201114308243 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 10, and its RMSE on the test set is 0.8165750109486729. 12 | The best model improves the baseline by 23.33%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: The Marquis (2011) 17 | 4: The Prodigies (2011) 18 | 5: Heaven Is a Playground (1991) 19 | 6: Tintin and the Lake of Sharks (1972) 20 | 7: Snug as a Bug (U Pana Boga za piecem) (1998) 21 | 8: Emmanuelle 5 (1987) 22 | 9: Lost in a Harem (1944) 23 | 10: The Keepers (2017) 24 | 11: Love Is Blind (2013) 25 | 12: Duplicate (1998) 26 | 13: Night of the Day of the Dawn of the Son of the Bride of the Return of the Terror (1991) 27 | 14: "Mahabharata 28 | 15: Love Life (2001) 29 | 16: Patient Zero (2017) 30 | 17: Here Without Me (Inja bedoone man) (2011) 31 | 18: Evilenko (2004) 32 | 19: Richard Jeni: A Big Steaming Pile of Me (2005) 33 | 20: Awara Paagal Deewana (2002) 34 | 21: A Year in Burgundy (2013) 35 | 22: Shakthi: The Power (2002) 36 | 23: Jeff Dunham: Arguing with Myself (2006) 37 | 24: High Risk (1981) 38 | 25: Pizza (2012) 39 | 26: Rio Diablo (1993) 40 | 27: Ali Baba Bunny (1957) 41 | 28: "Passion of Ayn Rand 42 | 29: Lilian's Story (1995) 43 | 30: Far Out Man (1990) 44 | 31: Aarya (2004) 45 | 32: Garfield's Fun Fest (2008) 46 | 33: Frankenstein Conquers the World (1965) 47 | 34: Daisy Town (1971) 48 | 35: Genius on Hold (2013) 49 | 36: Greg Fitzsimmons: Life on Stage (2013) 50 | 37: Blue Summer (1973) 51 | 38: Tr?mulo (2015) 52 | 39: Farmageddon (2011) 53 | 40: Atharintiki Daaredi (2013) 54 | 41: Extreme Private Eros: Love Song 1974 (1974) 55 | 42: The Harmony Game (2011) 56 | 43: More Brains! A Return to the Living Dead (2011) 57 | 44: Cemetery of Splendour (2015) 58 | 45: Cari fottutissimi amici (1994) 59 | 46: The Third Lover (1962) 60 | 47: Let the Women Wait! (1998) 61 | 48: The War at Home (1979) 62 | 49: Heroes Shed No Tears (1986) 63 | 50: Vampyres (1974) 64 | Benchmark execution time: 732798ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/native/in-memory-analytics-15.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8230937861055979 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8207305299696439 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.821917211357599 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8171716789704557 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.81689859609569. 12 | The best model improves the baseline by 23.30%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: 1 (2014) 17 | 4: The Keepers (2017) 18 | 5: The Great American Girl Robbery (1979) 19 | 6: Love Life (2001) 20 | 7: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 21 | 8: The Marquis (2011) 22 | 9: Tintin and the Lake of Sharks (1972) 23 | 10: Atharintiki Daaredi (2013) 24 | 11: Frankenstein Conquers the World (1965) 25 | 12: Sex Is Zero (2002) 26 | 13: The Immoral Mr. Teas (1959) 27 | 14: Heaven Is a Playground (1991) 28 | 15: Patient Zero (2017) 29 | 16: Loser Takes All! (Qui perd gagne !) (2003) 30 | 17: Lemonade Mouth (2011) 31 | 18: More Brains! A Return to the Living Dead (2011) 32 | 19: Lavalantula (2015) 33 | 20: Alien Tornado (2012) 34 | 21: "Mahabharata 35 | 22: Just Write (1997) 36 | 23: Lost in a Harem (1944) 37 | 24: PSYCHO-PASS: The Movie (2016) 38 | 25: Love Is Blind (2013) 39 | 26: Punk Vacation (1987) 40 | 27: Rio Diablo (1993) 41 | 28: Monster High: Fright On! (2011) 42 | 29: Far Out Man (1990) 43 | 30: UFO - Distruggete base Luna! (1971) 44 | 31: Mixed Kebab (2012) 45 | 32: The Story of Asya Klyachina (1966) 46 | 33: The Prodigies (2011) 47 | 34: The Spacewalker (2017) 48 | 35: Daisy Town (1971) 49 | 36: Fantastic Lies (2016) 50 | 37: Heroes Shed No Tears (1986) 51 | 38: Vampyres (1974) 52 | 39: Kokoko (2012) 53 | 40: Tr?mulo (2015) 54 | 41: Mamitas (2011) 55 | 42: Losing the North (2015) 56 | 43: Estamos Juntos (2011) 57 | 44: Emmanuelle 5 (1987) 58 | 45: Night of the Day of the Dawn of the Son of the Bride of the Return of the Terror (1991) 59 | 46: Desierto (2016) 60 | 47: Seven Dwarfs (2004) 61 | 48: A Year in Burgundy (2013) 62 | 49: Lagerfeld Confidential (2007) 63 | 50: The Perfect Guy (2015) 64 | Benchmark execution time: 770530ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/native/in-memory-analytics-19.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8205336176603697 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8210307044402464 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8231539758975762 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8171592829759714 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8168831294316865. 12 | The best model improves the baseline by 23.30%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: The Story of Asya Klyachina (1966) 16 | 3: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 17 | 4: Atharintiki Daaredi (2013) 18 | 5: Love Life (2001) 19 | 6: The Keepers (2017) 20 | 7: The Great American Girl Robbery (1979) 21 | 8: 1 (2014) 22 | 9: The Marquis (2011) 23 | 10: Frankenstein Conquers the World (1965) 24 | 11: Estamos Juntos (2011) 25 | 12: Sex Is Zero (2002) 26 | 13: Tintin and the Lake of Sharks (1972) 27 | 14: Heaven Is a Playground (1991) 28 | 15: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 29 | 16: Love Is Blind (2013) 30 | 17: Jellyfish Eyes (2013) 31 | 18: "Mahabharata 32 | 19: Monster High: Fright On! (2011) 33 | 20: The Boss's Daughter (2016) 34 | 21: Lost in a Harem (1944) 35 | 22: PSYCHO-PASS: The Movie (2016) 36 | 23: Punk Vacation (1987) 37 | 24: Losing the North (2015) 38 | 25: The Prodigies (2011) 39 | 26: Daisy Town (1971) 40 | 27: Just Write (1997) 41 | 28: Rio Diablo (1993) 42 | 29: Alien Tornado (2012) 43 | 30: More Brains! A Return to the Living Dead (2011) 44 | 31: The Immoral Mr. Teas (1959) 45 | 32: Far Out Man (1990) 46 | 33: Special Section (1975) 47 | 34: UFO - Distruggete base Luna! (1971) 48 | 35: A Year in Burgundy (2013) 49 | 36: Shock Head Soul (2011) 50 | 37: Mixed Kebab (2012) 51 | 38: Lemonade Mouth (2011) 52 | 39: Loser Takes All! (Qui perd gagne !) (2003) 53 | 40: Desierto (2016) 54 | 41: Tr?mulo (2015) 55 | 42: Zerophilia (2005) 56 | 43: Kokoko (2012) 57 | 44: Duplicate (1998) 58 | 45: Salam Neighbor (2015) 59 | 46: Garage Olimpo (1999) 60 | 47: Don't You Forget About Me (2009) 61 | 48: Scavenger Hunt (1979) 62 | 49: The Russian Novel (2013) 63 | 50: "Tripper 64 | Benchmark execution time: 659314ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/native/in-memory-analytics-20.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8193233192380076 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8210985860784701 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8190869703517654 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8170347755842767 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8167566835593998. 12 | The best model improves the baseline by 23.31%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 17 | 4: The Great American Girl Robbery (1979) 18 | 5: The Immoral Mr. Teas (1959) 19 | 6: The Marquis (2011) 20 | 7: Tintin and the Lake of Sharks (1972) 21 | 8: The Keepers (2017) 22 | 9: 1 (2014) 23 | 10: Sex Is Zero (2002) 24 | 11: Lemonade Mouth (2011) 25 | 12: Heaven Is a Playground (1991) 26 | 13: Fantastic Lies (2016) 27 | 14: The Story of Asya Klyachina (1966) 28 | 15: Atharintiki Daaredi (2013) 29 | 16: Frankenstein Conquers the World (1965) 30 | 17: Monster High: Fright On! (2011) 31 | 18: More Brains! A Return to the Living Dead (2011) 32 | 19: The Prodigies (2011) 33 | 20: Estamos Juntos (2011) 34 | 21: Alien Tornado (2012) 35 | 22: Mamitas (2011) 36 | 23: Duplicate (1998) 37 | 24: Rio Diablo (1993) 38 | 25: Far Out Man (1990) 39 | 26: Love Life (2001) 40 | 27: UFO - Distruggete base Luna! (1971) 41 | 28: Patient Zero (2017) 42 | 29: "Mahabharata 43 | 30: PSYCHO-PASS: The Movie (2016) 44 | 31: Ali Baba Bunny (1957) 45 | 32: Emmanuelle 5 (1987) 46 | 33: Night of the Day of the Dawn of the Son of the Bride of the Return of the Terror (1991) 47 | 34: "2013 Rock and Roll Hall of Fame Induction Ceremony 48 | 35: Lavalantula (2015) 49 | 36: Thor: Ragnarok (2017) 50 | 37: Swept Under (2015) 51 | 38: Susie Q (1996) 52 | 39: Tiger Orange (2014) 53 | 40: Desierto (2016) 54 | 41: Pulsar (2011) 55 | 42: Daisy Town (1971) 56 | 43: Here Without Me (Inja bedoone man) (2011) 57 | 44: Losing the North (2015) 58 | 45: Love Is Blind (2013) 59 | 46: Zakochani (2000) 60 | 47: Extreme Private Eros: Love Song 1974 (1974) 61 | 48: Beltracchi - The Art of the Forgery (2014) 62 | 49: The Emperor in August (2015) 63 | 50: Heroes Shed No Tears (1986) 64 | Benchmark execution time: 771942ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/slice/in-memory-analytics-01.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8240050739025498 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8199636289664698 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8180000855596562 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8183749492506829 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 10, and its RMSE on the test set is 0.8177097064698751. 12 | The best model improves the baseline by 23.22%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: Love Life (2001) 17 | 4: Estamos Juntos (2011) 18 | 5: The Keepers (2017) 19 | 6: The Great American Girl Robbery (1979) 20 | 7: Tintin and the Lake of Sharks (1972) 21 | 8: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 22 | 9: Fantastic Lies (2016) 23 | 10: Atharintiki Daaredi (2013) 24 | 11: The Marquis (2011) 25 | 12: Love Is Blind (2013) 26 | 13: Punk Vacation (1987) 27 | 14: Emmanuelle 5 (1987) 28 | 15: The Story of Asya Klyachina (1966) 29 | 16: Losing the North (2015) 30 | 17: Frankenstein Conquers the World (1965) 31 | 18: Heaven Is a Playground (1991) 32 | 19: "Mahabharata 33 | 20: 1 (2014) 34 | 21: Lost in a Harem (1944) 35 | 22: Sex Is Zero (2002) 36 | 23: Lavalantula (2015) 37 | 24: Lemonade Mouth (2011) 38 | 25: Alien Tornado (2012) 39 | 26: UFO - Distruggete base Luna! (1971) 40 | 27: Monster High: Fright On! (2011) 41 | 28: The Immoral Mr. Teas (1959) 42 | 29: PSYCHO-PASS: The Movie (2016) 43 | 30: High Risk (1981) 44 | 31: Rio Diablo (1993) 45 | 32: Mamitas (2011) 46 | 33: Far Out Man (1990) 47 | 34: Tiger Orange (2014) 48 | 35: More Brains! A Return to the Living Dead (2011) 49 | 36: A Year in Burgundy (2013) 50 | 37: Mixed Kebab (2012) 51 | 38: The Prodigies (2011) 52 | 39: Just Write (1997) 53 | 40: Swept Under (2015) 54 | 41: Daisy Town (1971) 55 | 42: Tr?mulo (2015) 56 | 43: Ahora o nunca (2015) 57 | 44: Beltracchi - The Art of the Forgery (2014) 58 | 45: Emanuelle in Egypt (Velluto nero) (1976) 59 | 46: Garage Olimpo (1999) 60 | 47: Last Day of Summer (2009) 61 | 48: Evilenko (2004) 62 | 49: Mad Ron's Prevues from Hell (1987) 63 | 50: Susie Q (1996) 64 | Benchmark execution time: 651242ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/slice/in-memory-analytics-02.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.822199709183326 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8215359887524364 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8192341940007095 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8180867427501103 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8177434261275197. 12 | The best model improves the baseline by 23.22%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: The Story of Asya Klyachina (1966) 16 | 3: The Immoral Mr. Teas (1959) 17 | 4: Atharintiki Daaredi (2013) 18 | 5: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 19 | 6: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 20 | 7: The Great American Girl Robbery (1979) 21 | 8: Tintin and the Lake of Sharks (1972) 22 | 9: Love Life (2001) 23 | 10: The Marquis (2011) 24 | 11: The Keepers (2017) 25 | 12: Heaven Is a Playground (1991) 26 | 13: 1 (2014) 27 | 14: Mamitas (2011) 28 | 15: Jellyfish Eyes (2013) 29 | 16: The Prodigies (2011) 30 | 17: UFO - Distruggete base Luna! (1971) 31 | 18: Frankenstein Conquers the World (1965) 32 | 19: Emmanuelle 5 (1987) 33 | 20: Sex Is Zero (2002) 34 | 21: Losing the North (2015) 35 | 22: Lemonade Mouth (2011) 36 | 23: PSYCHO-PASS: The Movie (2016) 37 | 24: Estamos Juntos (2011) 38 | 25: Tiger Orange (2014) 39 | 26: Punk Vacation (1987) 40 | 27: Far Out Man (1990) 41 | 28: More Brains! A Return to the Living Dead (2011) 42 | 29: Love Is Blind (2013) 43 | 30: Lavalantula (2015) 44 | 31: Alien Tornado (2012) 45 | 32: Last Day of Summer (2009) 46 | 33: Emanuelle in Egypt (Velluto nero) (1976) 47 | 34: High Risk (1981) 48 | 35: Garage Olimpo (1999) 49 | 36: "Mahabharata 50 | 37: Duplicate (1998) 51 | 38: Rio Diablo (1993) 52 | 39: Daisy Town (1971) 53 | 40: Jeff Dunham: Arguing with Myself (2006) 54 | 41: Monster High: Fright On! (2011) 55 | 42: Heroes Shed No Tears (1986) 56 | 43: Vampyres (1974) 57 | 44: Susie Q (1996) 58 | 45: Night of the Day of the Dawn of the Son of the Bride of the Return of the Terror (1991) 59 | 46: Northpole (2014) 60 | 47: Patient Zero (2017) 61 | 48: Zakochani (2000) 62 | 49: "Tramp 63 | 50: Rasputin (1996) 64 | Benchmark execution time: 659147ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/slice/in-memory-analytics-03.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8222520555129396 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.821891774950323 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8244792827833015 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8176173720813076 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8173422607235269. 12 | The best model improves the baseline by 23.26%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: The Story of Asya Klyachina (1966) 17 | 4: The Great American Girl Robbery (1979) 18 | 5: Atharintiki Daaredi (2013) 19 | 6: The Immoral Mr. Teas (1959) 20 | 7: Tintin and the Lake of Sharks (1972) 21 | 8: Estamos Juntos (2011) 22 | 9: The Marquis (2011) 23 | 10: Sex Is Zero (2002) 24 | 11: Frankenstein Conquers the World (1965) 25 | 12: The Prodigies (2011) 26 | 13: Love Life (2001) 27 | 14: Monster High: Fright On! (2011) 28 | 15: Losing the North (2015) 29 | 16: Heaven Is a Playground (1991) 30 | 17: Kokoko (2012) 31 | 18: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 32 | 19: Fantastic Lies (2016) 33 | 20: Lavalantula (2015) 34 | 21: UFO - Distruggete base Luna! (1971) 35 | 22: 1 (2014) 36 | 23: PSYCHO-PASS: The Movie (2016) 37 | 24: Last Day of Summer (2009) 38 | 25: Jellyfish Eyes (2013) 39 | 26: The Keepers (2017) 40 | 27: More Brains! A Return to the Living Dead (2011) 41 | 28: "Mahabharata 42 | 29: The Boss's Daughter (2016) 43 | 30: Love Is Blind (2013) 44 | 31: Duplicate (1998) 45 | 32: Far Out Man (1990) 46 | 33: "2013 Rock and Roll Hall of Fame Induction Ceremony 47 | 34: Emmanuelle 5 (1987) 48 | 35: Rasputin (1996) 49 | 36: Patient Zero (2017) 50 | 37: Daisy Town (1971) 51 | 38: Rio Diablo (1993) 52 | 39: Lost in a Harem (1944) 53 | 40: Zerophilia (2005) 54 | 41: Special Section (1975) 55 | 42: Mixed Kebab (2012) 56 | 43: Garage Olimpo (1999) 57 | 44: Tr?mulo (2015) 58 | 45: Here Without Me (Inja bedoone man) (2011) 59 | 46: Lemonade Mouth (2011) 60 | 47: Desierto (2016) 61 | 48: Mad Ron's Prevues from Hell (1987) 62 | 49: Varalaru (2006) 63 | 50: "Stolen Collection 64 | Benchmark execution time: 696194ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/slice/in-memory-analytics-04.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8204686581995648 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8206847476798261 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8171600907697831 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8162481126170213 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.815912766303159. 12 | The best model improves the baseline by 23.39%. 13 | Movies recommended for you: 14 | 1: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 15 | 2: Hamoun (1990) 16 | 3: 1 (2014) 17 | 4: The Marquis (2011) 18 | 5: Love Life (2001) 19 | 6: The Keepers (2017) 20 | 7: Tintin and the Lake of Sharks (1972) 21 | 8: Atharintiki Daaredi (2013) 22 | 9: The Great American Girl Robbery (1979) 23 | 10: Sex Is Zero (2002) 24 | 11: Heaven Is a Playground (1991) 25 | 12: Monster High: Fright On! (2011) 26 | 13: Alien Tornado (2012) 27 | 14: The Immoral Mr. Teas (1959) 28 | 15: Lavalantula (2015) 29 | 16: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 30 | 17: Rio Diablo (1993) 31 | 18: "2013 Rock and Roll Hall of Fame Induction Ceremony 32 | 19: More Brains! A Return to the Living Dead (2011) 33 | 20: UFO - Distruggete base Luna! (1971) 34 | 21: Patient Zero (2017) 35 | 22: Just Write (1997) 36 | 23: PSYCHO-PASS: The Movie (2016) 37 | 24: Love Is Blind (2013) 38 | 25: Mamitas (2011) 39 | 26: "Mahabharata 40 | 27: The Prodigies (2011) 41 | 28: Here Without Me (Inja bedoone man) (2011) 42 | 29: Frankenstein Conquers the World (1965) 43 | 30: Night of the Day of the Dawn of the Son of the Bride of the Return of the Terror (1991) 44 | 31: The Story of Asya Klyachina (1966) 45 | 32: Far Out Man (1990) 46 | 33: Lemonade Mouth (2011) 47 | 34: Spine Tingler! The William Castle Story (2007) 48 | 35: Extreme Private Eros: Love Song 1974 (1974) 49 | 36: Susie Q (1996) 50 | 37: Ali Baba Bunny (1957) 51 | 38: Last Day of Summer (2009) 52 | 39: Daisy Town (1971) 53 | 40: Beltracchi - The Art of the Forgery (2014) 54 | 41: Fantastic Lies (2016) 55 | 42: Tr?mulo (2015) 56 | 43: Duplicate (1998) 57 | 44: Farmageddon (2011) 58 | 45: Estamos Juntos (2011) 59 | 46: Desierto (2016) 60 | 47: "Architecture of Doom 61 | 48: Mixed Kebab (2012) 62 | 49: Provocateur (1998) 63 | 50: Steal This Film II (2007) 64 | Benchmark execution time: 750102ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/slice/in-memory-analytics-06.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8230869807802138 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8207408167447151 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8187635978007632 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8166113036790593 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8163369711171727. 12 | The best model improves the baseline by 23.35%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: 1 (2014) 17 | 4: The Keepers (2017) 18 | 5: Atharintiki Daaredi (2013) 19 | 6: The Great American Girl Robbery (1979) 20 | 7: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 21 | 8: The Marquis (2011) 22 | 9: Love Life (2001) 23 | 10: Tintin and the Lake of Sharks (1972) 24 | 11: Sex Is Zero (2002) 25 | 12: Frankenstein Conquers the World (1965) 26 | 13: Heaven Is a Playground (1991) 27 | 14: The Immoral Mr. Teas (1959) 28 | 15: More Brains! A Return to the Living Dead (2011) 29 | 16: The Story of Asya Klyachina (1966) 30 | 17: Lemonade Mouth (2011) 31 | 18: The Prodigies (2011) 32 | 19: "Mahabharata 33 | 20: UFO - Distruggete base Luna! (1971) 34 | 21: Fantastic Lies (2016) 35 | 22: Lavalantula (2015) 36 | 23: Scavenger Hunt (1979) 37 | 24: Patient Zero (2017) 38 | 25: Far Out Man (1990) 39 | 26: Mamitas (2011) 40 | 27: Love Is Blind (2013) 41 | 28: PSYCHO-PASS: The Movie (2016) 42 | 29: Estamos Juntos (2011) 43 | 30: Rio Diablo (1993) 44 | 31: Monster High: Fright On! (2011) 45 | 32: Don't You Forget About Me (2009) 46 | 33: Just Write (1997) 47 | 34: Daisy Town (1971) 48 | 35: Mixed Kebab (2012) 49 | 36: Emmanuelle 5 (1987) 50 | 37: Desierto (2016) 51 | 38: "2013 Rock and Roll Hall of Fame Induction Ceremony 52 | 39: Losing the North (2015) 53 | 40: Lost in a Harem (1944) 54 | 41: Ali Baba Bunny (1957) 55 | 42: Alien Tornado (2012) 56 | 43: With Great Power: The Stan Lee Story (2012) 57 | 44: Heroes Shed No Tears (1986) 58 | 45: Vampyres (1974) 59 | 46: Punk Vacation (1987) 60 | 47: Farmageddon (2011) 61 | 48: Garfield's Fun Fest (2008) 62 | 49: "Passion of Ayn Rand 63 | 50: Drive (1997) 64 | Benchmark execution time: 658732ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/slice/in-memory-analytics-07.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.822109046054827 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8213705164768745 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8183148295968019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8167590026530436 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8164770067797261. 12 | The best model improves the baseline by 23.34%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: Atharintiki Daaredi (2013) 17 | 4: The Great American Girl Robbery (1979) 18 | 5: The Story of Asya Klyachina (1966) 19 | 6: Sex Is Zero (2002) 20 | 7: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 21 | 8: Fantastic Lies (2016) 22 | 9: The Marquis (2011) 23 | 10: 1 (2014) 24 | 11: Tintin and the Lake of Sharks (1972) 25 | 12: The Keepers (2017) 26 | 13: Love Life (2001) 27 | 14: The Immoral Mr. Teas (1959) 28 | 15: Heaven Is a Playground (1991) 29 | 16: Frankenstein Conquers the World (1965) 30 | 17: The Prodigies (2011) 31 | 18: Monster High: Fright On! (2011) 32 | 19: Estamos Juntos (2011) 33 | 20: Patient Zero (2017) 34 | 21: "Mahabharata 35 | 22: More Brains! A Return to the Living Dead (2011) 36 | 23: Scavenger Hunt (1979) 37 | 24: Kokoko (2012) 38 | 25: Love Is Blind (2013) 39 | 26: Emmanuelle 5 (1987) 40 | 27: The Boss's Daughter (2016) 41 | 28: Lemonade Mouth (2011) 42 | 29: Night of the Day of the Dawn of the Son of the Bride of the Return of the Terror (1991) 43 | 30: PSYCHO-PASS: The Movie (2016) 44 | 31: Lavalantula (2015) 45 | 32: Rio Diablo (1993) 46 | 33: UFO - Distruggete base Luna! (1971) 47 | 34: Mixed Kebab (2012) 48 | 35: Far Out Man (1990) 49 | 36: Daisy Town (1971) 50 | 37: Ali Baba Bunny (1957) 51 | 38: Jeff Dunham: Arguing with Myself (2006) 52 | 39: Tr?mulo (2015) 53 | 40: Beltracchi - The Art of the Forgery (2014) 54 | 41: "2013 Rock and Roll Hall of Fame Induction Ceremony 55 | 42: Here Without Me (Inja bedoone man) (2011) 56 | 43: Just Write (1997) 57 | 44: Susie Q (1996) 58 | 45: A Year in Burgundy (2013) 59 | 46: Alien Tornado (2012) 60 | 47: Farmageddon (2011) 61 | 48: Heroes Shed No Tears (1986) 62 | 49: Vampyres (1974) 63 | 50: Foo Fighters: Back and Forth (2011) 64 | Benchmark execution time: 621946ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/slice/in-memory-analytics-08.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8219035978354853 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8208228486605483 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8217520083657411 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8176705104318188 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8173859180034007. 12 | The best model improves the baseline by 23.25%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: The Keepers (2017) 17 | 4: Fantastic Lies (2016) 18 | 5: The Great American Girl Robbery (1979) 19 | 6: 1 (2014) 20 | 7: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 21 | 8: The Marquis (2011) 22 | 9: Frankenstein Conquers the World (1965) 23 | 10: Lavalantula (2015) 24 | 11: Love Life (2001) 25 | 12: Tintin and the Lake of Sharks (1972) 26 | 13: Estamos Juntos (2011) 27 | 14: Heaven Is a Playground (1991) 28 | 15: The War at Home (1979) 29 | 16: Atharintiki Daaredi (2013) 30 | 17: Sex Is Zero (2002) 31 | 18: UFO - Distruggete base Luna! (1971) 32 | 19: Daisy Town (1971) 33 | 20: The Story of Asya Klyachina (1966) 34 | 21: Alien Tornado (2012) 35 | 22: More Brains! A Return to the Living Dead (2011) 36 | 23: Far Out Man (1990) 37 | 24: Lemonade Mouth (2011) 38 | 25: Monster High: Fright On! (2011) 39 | 26: The Prodigies (2011) 40 | 27: The Immoral Mr. Teas (1959) 41 | 28: Heroes Shed No Tears (1986) 42 | 29: Vampyres (1974) 43 | 30: Seven Dwarfs (2004) 44 | 31: Rio Diablo (1993) 45 | 32: PSYCHO-PASS: The Movie (2016) 46 | 33: "Mahabharata 47 | 34: "2013 Rock and Roll Hall of Fame Induction Ceremony 48 | 35: Emmanuelle 5 (1987) 49 | 36: "Stolen Collection 50 | 37: Drive (1997) 51 | 38: With Great Power: The Stan Lee Story (2012) 52 | 39: Tiger Orange (2014) 53 | 40: Last Day of Summer (2009) 54 | 41: Love Is Blind (2013) 55 | 42: Don't You Forget About Me (2009) 56 | 43: Jeff Dunham: Arguing with Myself (2006) 57 | 44: Susie Q (1996) 58 | 45: Tr?mulo (2015) 59 | 46: Losing the North (2015) 60 | 47: Mixed Kebab (2012) 61 | 48: Patient Zero (2017) 62 | 49: Twisted Seduction (2010) 63 | 50: Prince of Jutland (a.k.a. Royal Deceit) (1994) 64 | Benchmark execution time: 739567ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/slice/in-memory-analytics-09.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.822006116739882 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8222018350980385 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8204465268894982 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8171770725789108 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8168655094842647. 12 | The best model improves the baseline by 23.30%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: The Story of Asya Klyachina (1966) 16 | 3: The Immoral Mr. Teas (1959) 17 | 4: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 18 | 5: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 19 | 6: The Great American Girl Robbery (1979) 20 | 7: Tintin and the Lake of Sharks (1972) 21 | 8: The Marquis (2011) 22 | 9: Atharintiki Daaredi (2013) 23 | 10: The Prodigies (2011) 24 | 11: Heroes Shed No Tears (1986) 25 | 12: Vampyres (1974) 26 | 13: Sex Is Zero (2002) 27 | 14: Kokoko (2012) 28 | 15: Frankenstein Conquers the World (1965) 29 | 16: Love Life (2001) 30 | 17: Monster High: Fright On! (2011) 31 | 18: Heaven Is a Playground (1991) 32 | 19: Emmanuelle 5 (1987) 33 | 20: Jellyfish Eyes (2013) 34 | 21: Lavalantula (2015) 35 | 22: UFO - Distruggete base Luna! (1971) 36 | 23: The Keepers (2017) 37 | 24: Estamos Juntos (2011) 38 | 25: Alien Tornado (2012) 39 | 26: Far Out Man (1990) 40 | 27: Losing the North (2015) 41 | 28: Duplicate (1998) 42 | 29: Lemonade Mouth (2011) 43 | 30: Emanuelle in Egypt (Velluto nero) (1976) 44 | 31: Rio Diablo (1993) 45 | 32: The Boss's Daughter (2016) 46 | 33: PSYCHO-PASS: The Movie (2016) 47 | 34: More Brains! A Return to the Living Dead (2011) 48 | 35: Last Day of Summer (2009) 49 | 36: Daisy Town (1971) 50 | 37: 1 (2014) 51 | 38: Susie Q (1996) 52 | 39: The Ties That Bind (2015) 53 | 40: Fantastic Lies (2016) 54 | 41: High Risk (1981) 55 | 42: Night of the Day of the Dawn of the Son of the Bride of the Return of the Terror (1991) 56 | 43: Here Without Me (Inja bedoone man) (2011) 57 | 44: Genius on Hold (2013) 58 | 45: Greg Fitzsimmons: Life on Stage (2013) 59 | 46: Blue Summer (1973) 60 | 47: Richard Jeni: A Big Steaming Pile of Me (2005) 61 | 48: Punk Vacation (1987) 62 | 49: "Tramp 63 | 50: Farmageddon (2011) 64 | Benchmark execution time: 846602ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/slice/in-memory-analytics-10.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8198443866357453 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8215685954719342 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8174956369095897 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8165111536816202 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8162062856059082. 12 | The best model improves the baseline by 23.36%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: Sex Is Zero (2002) 17 | 4: The Marquis (2011) 18 | 5: The Story of Asya Klyachina (1966) 19 | 6: Tintin and the Lake of Sharks (1972) 20 | 7: Atharintiki Daaredi (2013) 21 | 8: Fantastic Lies (2016) 22 | 9: Lavalantula (2015) 23 | 10: Love Life (2001) 24 | 11: Frankenstein Conquers the World (1965) 25 | 12: Heaven Is a Playground (1991) 26 | 13: The Keepers (2017) 27 | 14: Monster High: Fright On! (2011) 28 | 15: The Immoral Mr. Teas (1959) 29 | 16: The Great American Girl Robbery (1979) 30 | 17: Estamos Juntos (2011) 31 | 18: The Prodigies (2011) 32 | 19: 1 (2014) 33 | 20: More Brains! A Return to the Living Dead (2011) 34 | 21: "Mahabharata 35 | 22: Shock Head Soul (2011) 36 | 23: "2013 Rock and Roll Hall of Fame Induction Ceremony 37 | 24: PSYCHO-PASS: The Movie (2016) 38 | 25: UFO - Distruggete base Luna! (1971) 39 | 26: Daisy Town (1971) 40 | 27: Love Is Blind (2013) 41 | 28: Last Day of Summer (2009) 42 | 29: Far Out Man (1990) 43 | 30: Rio Diablo (1993) 44 | 31: Lost in a Harem (1944) 45 | 32: Tr?mulo (2015) 46 | 33: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 47 | 34: Jeff Dunham: Arguing with Myself (2006) 48 | 35: Duplicate (1998) 49 | 36: Losing the North (2015) 50 | 37: A Year in Burgundy (2013) 51 | 38: Lemonade Mouth (2011) 52 | 39: Spine Tingler! The William Castle Story (2007) 53 | 40: Foo Fighters: Back and Forth (2011) 54 | 41: Farmageddon (2011) 55 | 42: Patient Zero (2017) 56 | 43: Tank 432 (2015) 57 | 44: Susie Q (1996) 58 | 45: Ali Baba Bunny (1957) 59 | 46: A Journey into Bliss (2004) 60 | 47: Terug Naar Morgen (2015) 61 | 48: Garage Olimpo (1999) 62 | 49: Rasputin (1996) 63 | 50: Just Write (1997) 64 | Benchmark execution time: 675868ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/slice/in-memory-analytics-11.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8216488395581938 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8200570191316823 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8223593577735998 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8168335804900873 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8165483565384207. 12 | The best model improves the baseline by 23.33%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: The Immoral Mr. Teas (1959) 17 | 4: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 18 | 5: The Keepers (2017) 19 | 6: The Great American Girl Robbery (1979) 20 | 7: The Marquis (2011) 21 | 8: Tintin and the Lake of Sharks (1972) 22 | 9: Frankenstein Conquers the World (1965) 23 | 10: Alien Tornado (2012) 24 | 11: 1 (2014) 25 | 12: Estamos Juntos (2011) 26 | 13: Atharintiki Daaredi (2013) 27 | 14: Lemonade Mouth (2011) 28 | 15: Heaven Is a Playground (1991) 29 | 16: Love Life (2001) 30 | 17: Monster High: Fright On! (2011) 31 | 18: Heroes Shed No Tears (1986) 32 | 19: Vampyres (1974) 33 | 20: PSYCHO-PASS: The Movie (2016) 34 | 21: UFO - Distruggete base Luna! (1971) 35 | 22: The Story of Asya Klyachina (1966) 36 | 23: Far Out Man (1990) 37 | 24: Mamitas (2011) 38 | 25: Punk Vacation (1987) 39 | 26: Rio Diablo (1993) 40 | 27: The Prodigies (2011) 41 | 28: Love Is Blind (2013) 42 | 29: Night of the Day of the Dawn of the Son of the Bride of the Return of the Terror (1991) 43 | 30: Scavenger Hunt (1979) 44 | 31: Lost in a Harem (1944) 45 | 32: Losing the North (2015) 46 | 33: Don't You Forget About Me (2009) 47 | 34: Duplicate (1998) 48 | 35: "Mahabharata 49 | 36: Daisy Town (1971) 50 | 37: Loser Takes All! (Qui perd gagne !) (2003) 51 | 38: More Brains! A Return to the Living Dead (2011) 52 | 39: Emmanuelle 5 (1987) 53 | 40: Fantastic Lies (2016) 54 | 41: The Spacewalker (2017) 55 | 42: Just Write (1997) 56 | 43: Tiger Orange (2014) 57 | 44: Susie Q (1996) 58 | 45: Extreme Private Eros: Love Song 1974 (1974) 59 | 46: Desierto (2016) 60 | 47: Beltracchi - The Art of the Forgery (2014) 61 | 48: "Stolen Collection 62 | 49: Lagerfeld Confidential (2007) 63 | 50: "Passion of Ayn Rand 64 | Benchmark execution time: 640396ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/slice/in-memory-analytics-12.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8226885780102335 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.821318990900549 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.821765467644749 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8165503973021561 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8162600950126674. 12 | The best model improves the baseline by 23.36%. 13 | Movies recommended for you: 14 | 1: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 15 | 2: Hamoun (1990) 16 | 3: The Great American Girl Robbery (1979) 17 | 4: Fantastic Lies (2016) 18 | 5: The Marquis (2011) 19 | 6: Atharintiki Daaredi (2013) 20 | 7: Sex Is Zero (2002) 21 | 8: Tintin and the Lake of Sharks (1972) 22 | 9: 1 (2014) 23 | 10: Love Life (2001) 24 | 11: Monster High: Fright On! (2011) 25 | 12: Estamos Juntos (2011) 26 | 13: The Keepers (2017) 27 | 14: Heaven Is a Playground (1991) 28 | 15: Frankenstein Conquers the World (1965) 29 | 16: The Immoral Mr. Teas (1959) 30 | 17: Varalaru (2006) 31 | 18: Scavenger Hunt (1979) 32 | 19: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 33 | 20: More Brains! A Return to the Living Dead (2011) 34 | 21: PSYCHO-PASS: The Movie (2016) 35 | 22: "Mahabharata 36 | 23: UFO - Distruggete base Luna! (1971) 37 | 24: Love Is Blind (2013) 38 | 25: Last Day of Summer (2009) 39 | 26: Duplicate (1998) 40 | 27: "2013 Rock and Roll Hall of Fame Induction Ceremony 41 | 28: The Prodigies (2011) 42 | 29: Patient Zero (2017) 43 | 30: Far Out Man (1990) 44 | 31: Lavalantula (2015) 45 | 32: Daisy Town (1971) 46 | 33: Farmageddon (2011) 47 | 34: Rio Diablo (1993) 48 | 35: Losing the North (2015) 49 | 36: Tr?mulo (2015) 50 | 37: The War at Home (1979) 51 | 38: Emmanuelle 5 (1987) 52 | 39: Lemonade Mouth (2011) 53 | 40: Jeff Dunham: Arguing with Myself (2006) 54 | 41: Spine Tingler! The William Castle Story (2007) 55 | 42: Lost in a Harem (1944) 56 | 43: Jeff Dunham: Jeff Dunham's Very Special Christmas Special (2008) 57 | 44: Just Write (1997) 58 | 45: Mamitas (2011) 59 | 46: Loser Takes All! (Qui perd gagne !) (2003) 60 | 47: Ali Baba Bunny (1957) 61 | 48: Desierto (2016) 62 | 49: Extreme Private Eros: Love Song 1974 (1974) 63 | 50: Tank 432 (2015) 64 | Benchmark execution time: 766390ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/slice/in-memory-analytics-13.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8224875473640033 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8213259006616139 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8203978207394641 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.817256754171208 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8169361691112573. 12 | The best model improves the baseline by 23.29%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: The Great American Girl Robbery (1979) 17 | 4: The Story of Asya Klyachina (1966) 18 | 5: Atharintiki Daaredi (2013) 19 | 6: 1 (2014) 20 | 7: The Keepers (2017) 21 | 8: The Marquis (2011) 22 | 9: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 23 | 10: Love Life (2001) 24 | 11: Tintin and the Lake of Sharks (1972) 25 | 12: Kokoko (2012) 26 | 13: Heaven Is a Playground (1991) 27 | 14: Sex Is Zero (2002) 28 | 15: Scavenger Hunt (1979) 29 | 16: Estamos Juntos (2011) 30 | 17: Monster High: Fright On! (2011) 31 | 18: Frankenstein Conquers the World (1965) 32 | 19: Love Is Blind (2013) 33 | 20: More Brains! A Return to the Living Dead (2011) 34 | 21: "Mahabharata 35 | 22: Alien Tornado (2012) 36 | 23: The Immoral Mr. Teas (1959) 37 | 24: "2013 Rock and Roll Hall of Fame Induction Ceremony 38 | 25: The Prodigies (2011) 39 | 26: Rio Diablo (1993) 40 | 27: Mamitas (2011) 41 | 28: Far Out Man (1990) 42 | 29: Patient Zero (2017) 43 | 30: UFO - Distruggete base Luna! (1971) 44 | 31: Just Write (1997) 45 | 32: Zerophilia (2005) 46 | 33: Lost in a Harem (1944) 47 | 34: PSYCHO-PASS: The Movie (2016) 48 | 35: The Boss's Daughter (2016) 49 | 36: Tr?mulo (2015) 50 | 37: Jellyfish Eyes (2013) 51 | 38: Spine Tingler! The William Castle Story (2007) 52 | 39: Desierto (2016) 53 | 40: Fantastic Lies (2016) 54 | 41: Daisy Town (1971) 55 | 42: Lemonade Mouth (2011) 56 | 43: Salam Neighbor (2015) 57 | 44: God?s Wedding (As Bodas de Deus) (1999) 58 | 45: Mixed Kebab (2012) 59 | 46: Last Day of Summer (2009) 60 | 47: Extreme Private Eros: Love Song 1974 (1974) 61 | 48: "Stolen Collection 62 | 49: Ali Baba Bunny (1957) 63 | 50: Beltracchi - The Art of the Forgery (2014) 64 | Benchmark execution time: 741020ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/slice/in-memory-analytics-15.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8215363564860548 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8213132353353456 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8219578088128853 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8167011361272872 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.816440456073246. 12 | The best model improves the baseline by 23.34%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: The Immoral Mr. Teas (1959) 17 | 4: The Great American Girl Robbery (1979) 18 | 5: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 19 | 6: Atharintiki Daaredi (2013) 20 | 7: The Marquis (2011) 21 | 8: The Story of Asya Klyachina (1966) 22 | 9: Tintin and the Lake of Sharks (1972) 23 | 10: Estamos Juntos (2011) 24 | 11: The Prodigies (2011) 25 | 12: Frankenstein Conquers the World (1965) 26 | 13: Love Life (2001) 27 | 14: Heaven Is a Playground (1991) 28 | 15: Sex Is Zero (2002) 29 | 16: The Keepers (2017) 30 | 17: Lavalantula (2015) 31 | 18: Monster High: Fright On! (2011) 32 | 19: 1 (2014) 33 | 20: Lemonade Mouth (2011) 34 | 21: Alien Tornado (2012) 35 | 22: PSYCHO-PASS: The Movie (2016) 36 | 23: Far Out Man (1990) 37 | 24: UFO - Distruggete base Luna! (1971) 38 | 25: Rio Diablo (1993) 39 | 26: Love Is Blind (2013) 40 | 27: Fantastic Lies (2016) 41 | 28: More Brains! A Return to the Living Dead (2011) 42 | 29: Emmanuelle 5 (1987) 43 | 30: Duplicate (1998) 44 | 31: Daisy Town (1971) 45 | 32: Last Day of Summer (2009) 46 | 33: Losing the North (2015) 47 | 34: "Mahabharata 48 | 35: Susie Q (1996) 49 | 36: "Stolen Collection 50 | 37: Heroes Shed No Tears (1986) 51 | 38: Vampyres (1974) 52 | 39: Night of the Day of the Dawn of the Son of the Bride of the Return of the Terror (1991) 53 | 40: "2013 Rock and Roll Hall of Fame Induction Ceremony 54 | 41: "Passion of Ayn Rand 55 | 42: "Tramp 56 | 43: Farmageddon (2011) 57 | 44: "Muppet Christmas: Letters to Santa 58 | 45: Scavenger Hunt (1979) 59 | 46: Hatchet III (2013) 60 | 47: Seven Dwarfs (2004) 61 | 48: Varalaru (2006) 62 | 49: Tiger Orange (2014) 63 | 50: Just Write (1997) 64 | Benchmark execution time: 686397ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/slice/in-memory-analytics-16.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8215040083998074 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8215520384190895 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8240999442962851 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8172267356965711 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8169342725807429. 12 | The best model improves the baseline by 23.30%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: The Immoral Mr. Teas (1959) 17 | 4: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 18 | 5: The Great American Girl Robbery (1979) 19 | 6: The Marquis (2011) 20 | 7: Tintin and the Lake of Sharks (1972) 21 | 8: The Keepers (2017) 22 | 9: Frankenstein Conquers the World (1965) 23 | 10: Love Life (2001) 24 | 11: The Story of Asya Klyachina (1966) 25 | 12: The Prodigies (2011) 26 | 13: Atharintiki Daaredi (2013) 27 | 14: 1 (2014) 28 | 15: Heaven Is a Playground (1991) 29 | 16: UFO - Distruggete base Luna! (1971) 30 | 17: Lemonade Mouth (2011) 31 | 18: Monster High: Fright On! (2011) 32 | 19: Estamos Juntos (2011) 33 | 20: Lavalantula (2015) 34 | 21: Alien Tornado (2012) 35 | 22: Sex Is Zero (2002) 36 | 23: Fantastic Lies (2016) 37 | 24: Duplicate (1998) 38 | 25: Far Out Man (1990) 39 | 26: PSYCHO-PASS: The Movie (2016) 40 | 27: Heroes Shed No Tears (1986) 41 | 28: Vampyres (1974) 42 | 29: More Brains! A Return to the Living Dead (2011) 43 | 30: Emmanuelle 5 (1987) 44 | 31: Kokoko (2012) 45 | 32: Rio Diablo (1993) 46 | 33: Night of the Day of the Dawn of the Son of the Bride of the Return of the Terror (1991) 47 | 34: Losing the North (2015) 48 | 35: Love Is Blind (2013) 49 | 36: Patient Zero (2017) 50 | 37: Tiger Orange (2014) 51 | 38: Daisy Town (1971) 52 | 39: "Muppet Christmas: Letters to Santa 53 | 40: Susie Q (1996) 54 | 41: Last Day of Summer (2009) 55 | 42: Swept Under (2015) 56 | 43: "Mahabharata 57 | 44: "2013 Rock and Roll Hall of Fame Induction Ceremony 58 | 45: Mamitas (2011) 59 | 46: Don't You Forget About Me (2009) 60 | 47: The Ties That Bind (2015) 61 | 48: Scavenger Hunt (1979) 62 | 49: "Stolen Collection 63 | 50: "Passion of Ayn Rand 64 | Benchmark execution time: 687420ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/slice/in-memory-analytics-17.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.821337178132571 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8217502525071912 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8184476587873044 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8168587346771723 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8165763397126666. 12 | The best model improves the baseline by 23.33%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: The Immoral Mr. Teas (1959) 17 | 4: The Great American Girl Robbery (1979) 18 | 5: Fantastic Lies (2016) 19 | 6: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 20 | 7: The Marquis (2011) 21 | 8: Tintin and the Lake of Sharks (1972) 22 | 9: Estamos Juntos (2011) 23 | 10: The Story of Asya Klyachina (1966) 24 | 11: The Keepers (2017) 25 | 12: Heaven Is a Playground (1991) 26 | 13: Frankenstein Conquers the World (1965) 27 | 14: Sex Is Zero (2002) 28 | 15: Monster High: Fright On! (2011) 29 | 16: Love Life (2001) 30 | 17: Love Is Blind (2013) 31 | 18: PSYCHO-PASS: The Movie (2016) 32 | 19: The Prodigies (2011) 33 | 20: Lemonade Mouth (2011) 34 | 21: Atharintiki Daaredi (2013) 35 | 22: 1 (2014) 36 | 23: UFO - Distruggete base Luna! (1971) 37 | 24: More Brains! A Return to the Living Dead (2011) 38 | 25: Far Out Man (1990) 39 | 26: Rio Diablo (1993) 40 | 27: "Mahabharata 41 | 28: "2013 Rock and Roll Hall of Fame Induction Ceremony 42 | 29: Last Day of Summer (2009) 43 | 30: Alien Tornado (2012) 44 | 31: Duplicate (1998) 45 | 32: Daisy Town (1971) 46 | 33: Tiger Orange (2014) 47 | 34: Mamitas (2011) 48 | 35: Lavalantula (2015) 49 | 36: Susie Q (1996) 50 | 37: Losing the North (2015) 51 | 38: Beltracchi - The Art of the Forgery (2014) 52 | 39: Tr?mulo (2015) 53 | 40: "Muppet Christmas: Letters to Santa 54 | 41: "Stolen Collection 55 | 42: Heroes Shed No Tears (1986) 56 | 43: Vampyres (1974) 57 | 44: Hatchet III (2013) 58 | 45: Emmanuelle 5 (1987) 59 | 46: Farmageddon (2011) 60 | 47: Extreme Private Eros: Love Song 1974 (1974) 61 | 48: Lost in a Harem (1944) 62 | 49: Night of the Day of the Dawn of the Son of the Bride of the Return of the Terror (1991) 63 | 50: Seven Dwarfs (2004) 64 | Benchmark execution time: 699365ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/slice/in-memory-analytics-18.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8223110169798926 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8210574170271413 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8184100414186475 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8171945564383784 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8169274220956311. 12 | The best model improves the baseline by 23.30%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: The Story of Asya Klyachina (1966) 16 | 3: Atharintiki Daaredi (2013) 17 | 4: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 18 | 5: Scavenger Hunt (1979) 19 | 6: Kokoko (2012) 20 | 7: The Marquis (2011) 21 | 8: Estamos Juntos (2011) 22 | 9: Tintin and the Lake of Sharks (1972) 23 | 10: Frankenstein Conquers the World (1965) 24 | 11: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 25 | 12: The Prodigies (2011) 26 | 13: Jellyfish Eyes (2013) 27 | 14: The Keepers (2017) 28 | 15: Duplicate (1998) 29 | 16: Heaven Is a Playground (1991) 30 | 17: Punk Vacation (1987) 31 | 18: Losing the North (2015) 32 | 19: Love Life (2001) 33 | 20: The Boss's Daughter (2016) 34 | 21: "Mahabharata 35 | 22: 1 (2014) 36 | 23: Love Is Blind (2013) 37 | 24: The Immoral Mr. Teas (1959) 38 | 25: Patient Zero (2017) 39 | 26: UFO - Distruggete base Luna! (1971) 40 | 27: Sex Is Zero (2002) 41 | 28: Far Out Man (1990) 42 | 29: Lost in a Harem (1944) 43 | 30: "Passion of Ayn Rand 44 | 31: Tr?mulo (2015) 45 | 32: Rio Diablo (1993) 46 | 33: Zerophilia (2005) 47 | 34: Loser Takes All! (Qui perd gagne !) (2003) 48 | 35: Daisy Town (1971) 49 | 36: Salam Neighbor (2015) 50 | 37: Heroes Shed No Tears (1986) 51 | 38: Vampyres (1974) 52 | 39: Last Day of Summer (2009) 53 | 40: A Year in Burgundy (2013) 54 | 41: Rasputin (1996) 55 | 42: "Tramp 56 | 43: Ahora o nunca (2015) 57 | 44: Monster High: Fright On! (2011) 58 | 45: PSYCHO-PASS: The Movie (2016) 59 | 46: Jimi Plays Monterey (1986) 60 | 47: The Great American Girl Robbery (1979) 61 | 48: "2013 Rock and Roll Hall of Fame Induction Ceremony 62 | 49: The Kids Are Alright (1979) 63 | 50: Mamitas (2011) 64 | Benchmark execution time: 710425ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/slice/in-memory-analytics-20.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8247627517689817 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8212153424952376 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8190385990896683 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.816437427929946 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8161354404073198. 12 | The best model improves the baseline by 23.37%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: The Immoral Mr. Teas (1959) 17 | 4: 1 (2014) 18 | 5: The Marquis (2011) 19 | 6: Tintin and the Lake of Sharks (1972) 20 | 7: Love Life (2001) 21 | 8: Frankenstein Conquers the World (1965) 22 | 9: The Great American Girl Robbery (1979) 23 | 10: Lavalantula (2015) 24 | 11: Fantastic Lies (2016) 25 | 12: Estamos Juntos (2011) 26 | 13: Atharintiki Daaredi (2013) 27 | 14: UFO - Distruggete base Luna! (1971) 28 | 15: Heaven Is a Playground (1991) 29 | 16: Alien Tornado (2012) 30 | 17: Sex Is Zero (2002) 31 | 18: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 32 | 19: The Prodigies (2011) 33 | 20: The Keepers (2017) 34 | 21: The Story of Asya Klyachina (1966) 35 | 22: Zakochani (2000) 36 | 23: PSYCHO-PASS: The Movie (2016) 37 | 24: Monster High: Fright On! (2011) 38 | 25: Rio Diablo (1993) 39 | 26: Far Out Man (1990) 40 | 27: More Brains! A Return to the Living Dead (2011) 41 | 28: "2013 Rock and Roll Hall of Fame Induction Ceremony 42 | 29: Daisy Town (1971) 43 | 30: Duplicate (1998) 44 | 31: Last Day of Summer (2009) 45 | 32: "Mahabharata 46 | 33: Love Is Blind (2013) 47 | 34: Lemonade Mouth (2011) 48 | 35: Susie Q (1996) 49 | 36: Mamitas (2011) 50 | 37: Losing the North (2015) 51 | 38: Farmageddon (2011) 52 | 39: "Muppet Christmas: Letters to Santa 53 | 40: The Ties That Bind (2015) 54 | 41: Tr?mulo (2015) 55 | 42: Emmanuelle 5 (1987) 56 | 43: Ali Baba Bunny (1957) 57 | 44: Spine Tingler! The William Castle Story (2007) 58 | 45: Garfield's Fun Fest (2008) 59 | 46: The War at Home (1979) 60 | 47: Lost in a Harem (1944) 61 | 48: "Stolen Collection 62 | 49: Tiger Orange (2014) 63 | 50: Jeff Dunham: Jeff Dunham's Very Special Christmas Special (2008) 64 | Benchmark execution time: 663643ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/vm1g/in-memory-analytics-01.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8228967118251806 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8209479019794013 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8217289080788956 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8170927193979493 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8168027211681865. 12 | The best model improves the baseline by 23.31%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: The Great American Girl Robbery (1979) 17 | 4: The Marquis (2011) 18 | 5: 1 (2014) 19 | 6: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 20 | 7: Tintin and the Lake of Sharks (1972) 21 | 8: The Immoral Mr. Teas (1959) 22 | 9: Lavalantula (2015) 23 | 10: The Keepers (2017) 24 | 11: The Story of Asya Klyachina (1966) 25 | 12: Sex Is Zero (2002) 26 | 13: Atharintiki Daaredi (2013) 27 | 14: Heaven Is a Playground (1991) 28 | 15: Monster High: Fright On! (2011) 29 | 16: Alien Tornado (2012) 30 | 17: Lemonade Mouth (2011) 31 | 18: Frankenstein Conquers the World (1965) 32 | 19: UFO - Distruggete base Luna! (1971) 33 | 20: More Brains! A Return to the Living Dead (2011) 34 | 21: Rio Diablo (1993) 35 | 22: The Prodigies (2011) 36 | 23: "2013 Rock and Roll Hall of Fame Induction Ceremony 37 | 24: PSYCHO-PASS: The Movie (2016) 38 | 25: Far Out Man (1990) 39 | 26: Fantastic Lies (2016) 40 | 27: Love Is Blind (2013) 41 | 28: Estamos Juntos (2011) 42 | 29: "Mahabharata 43 | 30: Last Day of Summer (2009) 44 | 31: Duplicate (1998) 45 | 32: Daisy Town (1971) 46 | 33: Ali Baba Bunny (1957) 47 | 34: Love Life (2001) 48 | 35: Tiger Orange (2014) 49 | 36: Spine Tingler! The William Castle Story (2007) 50 | 37: Susie Q (1996) 51 | 38: Desierto (2016) 52 | 39: Night of the Day of the Dawn of the Son of the Bride of the Return of the Terror (1991) 53 | 40: The Boss's Daughter (2016) 54 | 41: Mamitas (2011) 55 | 42: Zakochani (2000) 56 | 43: Here Without Me (Inja bedoone man) (2011) 57 | 44: Mixed Kebab (2012) 58 | 45: Manhattan Romance (2015) 59 | 46: Shock Head Soul (2011) 60 | 47: Varalaru (2006) 61 | 48: Provocateur (1998) 62 | 49: Extreme Private Eros: Love Song 1974 (1974) 63 | 50: Losing the North (2015) 64 | Benchmark execution time: 632627ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/vm1g/in-memory-analytics-02.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8236694466266116 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8211262506263713 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8205723158710234 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8172905796388611 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8170010643353711. 12 | The best model improves the baseline by 23.29%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: The Immoral Mr. Teas (1959) 16 | 3: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 17 | 4: The Story of Asya Klyachina (1966) 18 | 5: Estamos Juntos (2011) 19 | 6: Tintin and the Lake of Sharks (1972) 20 | 7: The Prodigies (2011) 21 | 8: Duplicate (1998) 22 | 9: The Marquis (2011) 23 | 10: Frankenstein Conquers the World (1965) 24 | 11: The Great American Girl Robbery (1979) 25 | 12: Sex Is Zero (2002) 26 | 13: Heaven Is a Playground (1991) 27 | 14: Love Life (2001) 28 | 15: Fantastic Lies (2016) 29 | 16: Emmanuelle 5 (1987) 30 | 17: Monster High: Fright On! (2011) 31 | 18: Lavalantula (2015) 32 | 19: Last Day of Summer (2009) 33 | 20: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 34 | 21: UFO - Distruggete base Luna! (1971) 35 | 22: Losing the North (2015) 36 | 23: Ahora o nunca (2015) 37 | 24: Night of the Day of the Dawn of the Son of the Bride of the Return of the Terror (1991) 38 | 25: Richard Jeni: A Big Steaming Pile of Me (2005) 39 | 26: PSYCHO-PASS: The Movie (2016) 40 | 27: Here Without Me (Inja bedoone man) (2011) 41 | 28: Daisy Town (1971) 42 | 29: Tiger Orange (2014) 43 | 30: Lemonade Mouth (2011) 44 | 31: Atharintiki Daaredi (2013) 45 | 32: Susie Q (1996) 46 | 33: Far Out Man (1990) 47 | 34: Jellyfish Eyes (2013) 48 | 35: Rio Diablo (1993) 49 | 36: Love Is Blind (2013) 50 | 37: The Keepers (2017) 51 | 38: 1 (2014) 52 | 39: Jeff Dunham: Arguing with Myself (2006) 53 | 40: Heroes Shed No Tears (1986) 54 | 41: Vampyres (1974) 55 | 42: High Risk (1981) 56 | 43: The Ties That Bind (2015) 57 | 44: "Mahabharata 58 | 45: Punk Vacation (1987) 59 | 46: More Brains! A Return to the Living Dead (2011) 60 | 47: Steal This Film II (2007) 61 | 48: Rasputin (1996) 62 | 49: The Adventures of Scamper the Penguin (1986) 63 | 50: Farmageddon (2011) 64 | Benchmark execution time: 689729ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/vm1g/in-memory-analytics-04.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8216521828497269 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8206191982683303 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8206393114015131 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8167621035927135 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8164925896886785. 12 | The best model improves the baseline by 23.34%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: The Great American Girl Robbery (1979) 17 | 4: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 18 | 5: The Immoral Mr. Teas (1959) 19 | 6: The Keepers (2017) 20 | 7: Atharintiki Daaredi (2013) 21 | 8: The Marquis (2011) 22 | 9: 1 (2014) 23 | 10: Tintin and the Lake of Sharks (1972) 24 | 11: Sex Is Zero (2002) 25 | 12: Love Life (2001) 26 | 13: Heaven Is a Playground (1991) 27 | 14: Frankenstein Conquers the World (1965) 28 | 15: The Story of Asya Klyachina (1966) 29 | 16: Lemonade Mouth (2011) 30 | 17: The Prodigies (2011) 31 | 18: More Brains! A Return to the Living Dead (2011) 32 | 19: Lavalantula (2015) 33 | 20: Estamos Juntos (2011) 34 | 21: UFO - Distruggete base Luna! (1971) 35 | 22: Duplicate (1998) 36 | 23: Monster High: Fright On! (2011) 37 | 24: Patient Zero (2017) 38 | 25: Far Out Man (1990) 39 | 26: PSYCHO-PASS: The Movie (2016) 40 | 27: Love Is Blind (2013) 41 | 28: Losing the North (2015) 42 | 29: Alien Tornado (2012) 43 | 30: Rio Diablo (1993) 44 | 31: "Mahabharata 45 | 32: Kokoko (2012) 46 | 33: Tiger Orange (2014) 47 | 34: Mamitas (2011) 48 | 35: Heroes Shed No Tears (1986) 49 | 36: Vampyres (1974) 50 | 37: Daisy Town (1971) 51 | 38: Emmanuelle 5 (1987) 52 | 39: "2013 Rock and Roll Hall of Fame Induction Ceremony 53 | 40: Mixed Kebab (2012) 54 | 41: Fantastic Lies (2016) 55 | 42: Desierto (2016) 56 | 43: Last Day of Summer (2009) 57 | 44: The Boss's Daughter (2016) 58 | 45: "Stolen Collection 59 | 46: Susie Q (1996) 60 | 47: Don't You Forget About Me (2009) 61 | 48: Ali Baba Bunny (1957) 62 | 49: Scavenger Hunt (1979) 63 | 50: Lost in a Harem (1944) 64 | Benchmark execution time: 667815ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/vm1g/in-memory-analytics-05.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8194937481021418 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8209175563779264 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.823430919929602 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8172210703756537 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.816911865960337. 12 | The best model improves the baseline by 23.30%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 17 | 4: Love Life (2001) 18 | 5: The Marquis (2011) 19 | 6: Tintin and the Lake of Sharks (1972) 20 | 7: The Immoral Mr. Teas (1959) 21 | 8: The Great American Girl Robbery (1979) 22 | 9: The Keepers (2017) 23 | 10: Alien Tornado (2012) 24 | 11: Heaven Is a Playground (1991) 25 | 12: Fantastic Lies (2016) 26 | 13: Frankenstein Conquers the World (1965) 27 | 14: The Prodigies (2011) 28 | 15: Lavalantula (2015) 29 | 16: Lilian's Story (1995) 30 | 17: Sex Is Zero (2002) 31 | 18: Estamos Juntos (2011) 32 | 19: UFO - Distruggete base Luna! (1971) 33 | 20: Lemonade Mouth (2011) 34 | 21: 1 (2014) 35 | 22: Rio Diablo (1993) 36 | 23: Monster High: Fright On! (2011) 37 | 24: Night of the Day of the Dawn of the Son of the Bride of the Return of the Terror (1991) 38 | 25: Far Out Man (1990) 39 | 26: Emmanuelle 5 (1987) 40 | 27: Duplicate (1998) 41 | 28: Atharintiki Daaredi (2013) 42 | 29: More Brains! A Return to the Living Dead (2011) 43 | 30: Scavenger Hunt (1979) 44 | 31: PSYCHO-PASS: The Movie (2016) 45 | 32: Heroes Shed No Tears (1986) 46 | 33: Vampyres (1974) 47 | 34: "Mahabharata 48 | 35: Susie Q (1996) 49 | 36: Swept Under (2015) 50 | 37: Zakochani (2000) 51 | 38: Just Write (1997) 52 | 39: Daisy Town (1971) 53 | 40: "2013 Rock and Roll Hall of Fame Induction Ceremony 54 | 41: Steal This Film II (2007) 55 | 42: Horrorvision (2001) 56 | 43: "Rage 57 | 44: Tiger Orange (2014) 58 | 45: Beltracchi - The Art of the Forgery (2014) 59 | 46: "Stolen Collection 60 | 47: Losing the North (2015) 61 | 48: Ali Baba Bunny (1957) 62 | 49: Farmageddon (2011) 63 | 50: The Harmony Game (2011) 64 | Benchmark execution time: 715718ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/vm1g/in-memory-analytics-07.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8200217119112315 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8205746967679911 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8193956170797815 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8178922334505396 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8175927536337962. 12 | The best model improves the baseline by 23.23%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 17 | 4: The Great American Girl Robbery (1979) 18 | 5: The Keepers (2017) 19 | 6: The Marquis (2011) 20 | 7: Tintin and the Lake of Sharks (1972) 21 | 8: Atharintiki Daaredi (2013) 22 | 9: Sex Is Zero (2002) 23 | 10: Alien Tornado (2012) 24 | 11: The Immoral Mr. Teas (1959) 25 | 12: Heaven Is a Playground (1991) 26 | 13: The Prodigies (2011) 27 | 14: Frankenstein Conquers the World (1965) 28 | 15: Rio Diablo (1993) 29 | 16: Monster High: Fright On! (2011) 30 | 17: More Brains! A Return to the Living Dead (2011) 31 | 18: UFO - Distruggete base Luna! (1971) 32 | 19: Fantastic Lies (2016) 33 | 20: Lemonade Mouth (2011) 34 | 21: Love Life (2001) 35 | 22: "2013 Rock and Roll Hall of Fame Induction Ceremony 36 | 23: Night of the Day of the Dawn of the Son of the Bride of the Return of the Terror (1991) 37 | 24: Patient Zero (2017) 38 | 25: Far Out Man (1990) 39 | 26: "Mahabharata 40 | 27: Ali Baba Bunny (1957) 41 | 28: 1 (2014) 42 | 29: Mamitas (2011) 43 | 30: Swept Under (2015) 44 | 31: Here Without Me (Inja bedoone man) (2011) 45 | 32: Estamos Juntos (2011) 46 | 33: Zakochani (2000) 47 | 34: Mixed Kebab (2012) 48 | 35: Duplicate (1998) 49 | 36: Spine Tingler! The William Castle Story (2007) 50 | 37: Extreme Private Eros: Love Song 1974 (1974) 51 | 38: Lavalantula (2015) 52 | 39: Love Is Blind (2013) 53 | 40: Daisy Town (1971) 54 | 41: Beltracchi - The Art of the Forgery (2014) 55 | 42: Desierto (2016) 56 | 43: Manhattan Romance (2015) 57 | 44: Company (2002) 58 | 45: Tiger Orange (2014) 59 | 46: Foo Fighters: Back and Forth (2011) 60 | 47: "Rage 61 | 48: Susie Q (1996) 62 | 49: Emmanuelle 5 (1987) 63 | 50: The Emperor in August (2015) 64 | Benchmark execution time: 754637ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/vm1g/in-memory-analytics-08.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8216692780425672 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8210723673933631 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8215627753139617 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8174266552508814 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.817162518764219. 12 | The best model improves the baseline by 23.27%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: The Great American Girl Robbery (1979) 17 | 4: The Immoral Mr. Teas (1959) 18 | 5: Atharintiki Daaredi (2013) 19 | 6: 1 (2014) 20 | 7: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 21 | 8: The Keepers (2017) 22 | 9: Frankenstein Conquers the World (1965) 23 | 10: Tintin and the Lake of Sharks (1972) 24 | 11: Love Life (2001) 25 | 12: The Marquis (2011) 26 | 13: Alien Tornado (2012) 27 | 14: Estamos Juntos (2011) 28 | 15: Sex Is Zero (2002) 29 | 16: Lavalantula (2015) 30 | 17: Heaven Is a Playground (1991) 31 | 18: The Story of Asya Klyachina (1966) 32 | 19: The Prodigies (2011) 33 | 20: UFO - Distruggete base Luna! (1971) 34 | 21: Losing the North (2015) 35 | 22: Lemonade Mouth (2011) 36 | 23: Punk Vacation (1987) 37 | 24: Tiger Orange (2014) 38 | 25: Emmanuelle 5 (1987) 39 | 26: PSYCHO-PASS: The Movie (2016) 40 | 27: Monster High: Fright On! (2011) 41 | 28: Love Is Blind (2013) 42 | 29: Far Out Man (1990) 43 | 30: Shock Head Soul (2011) 44 | 31: More Brains! A Return to the Living Dead (2011) 45 | 32: Daisy Town (1971) 46 | 33: Rio Diablo (1993) 47 | 34: Duplicate (1998) 48 | 35: "Mahabharata 49 | 36: Fantastic Lies (2016) 50 | 37: Lost in a Harem (1944) 51 | 38: Last Day of Summer (2009) 52 | 39: Heroes Shed No Tears (1986) 53 | 40: Vampyres (1974) 54 | 41: Zakochani (2000) 55 | 42: Stalled (2013) 56 | 43: "Stolen Collection 57 | 44: Don't You Forget About Me (2009) 58 | 45: Mad Ron's Prevues from Hell (1987) 59 | 46: The Ties That Bind (2015) 60 | 47: Rasputin (1996) 61 | 48: Susie Q (1996) 62 | 49: Mamitas (2011) 63 | 50: Swept Under (2015) 64 | Benchmark execution time: 753384ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/vm1g/in-memory-analytics-10.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8210408291766407 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8214055751136777 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8218780910275685 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8163776028647064 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8161009334966465. 12 | The best model improves the baseline by 23.37%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: 1 (2014) 17 | 4: The Marquis (2011) 18 | 5: Sex Is Zero (2002) 19 | 6: Tintin and the Lake of Sharks (1972) 20 | 7: Atharintiki Daaredi (2013) 21 | 8: Fantastic Lies (2016) 22 | 9: The Immoral Mr. Teas (1959) 23 | 10: Frankenstein Conquers the World (1965) 24 | 11: Love Life (2001) 25 | 12: The Great American Girl Robbery (1979) 26 | 13: Heaven Is a Playground (1991) 27 | 14: The Keepers (2017) 28 | 15: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 29 | 16: Estamos Juntos (2011) 30 | 17: The Prodigies (2011) 31 | 18: Lavalantula (2015) 32 | 19: Lemonade Mouth (2011) 33 | 20: Monster High: Fright On! (2011) 34 | 21: UFO - Distruggete base Luna! (1971) 35 | 22: More Brains! A Return to the Living Dead (2011) 36 | 23: Far Out Man (1990) 37 | 24: Duplicate (1998) 38 | 25: PSYCHO-PASS: The Movie (2016) 39 | 26: Patient Zero (2017) 40 | 27: "Mahabharata 41 | 28: The War at Home (1979) 42 | 29: Daisy Town (1971) 43 | 30: Rio Diablo (1993) 44 | 31: Heroes Shed No Tears (1986) 45 | 32: Vampyres (1974) 46 | 33: Last Day of Summer (2009) 47 | 34: Emmanuelle 5 (1987) 48 | 35: Scavenger Hunt (1979) 49 | 36: "2013 Rock and Roll Hall of Fame Induction Ceremony 50 | 37: Jeff Dunham: Arguing with Myself (2006) 51 | 38: Susie Q (1996) 52 | 39: With Great Power: The Stan Lee Story (2012) 53 | 40: Shock Head Soul (2011) 54 | 41: Farmageddon (2011) 55 | 42: "Stolen Collection 56 | 43: Tiger Orange (2014) 57 | 44: Tr?mulo (2015) 58 | 45: Foo Fighters: Back and Forth (2011) 59 | 46: Just Write (1997) 60 | 47: Alien Tornado (2012) 61 | 48: Losing the North (2015) 62 | 49: Mixed Kebab (2012) 63 | 50: Love Is Blind (2013) 64 | Benchmark execution time: 729646ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/vm1g/in-memory-analytics-11.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8199413262612978 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.821254828386801 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8196551847708479 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8176034350256286 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8173114778979563. 12 | The best model improves the baseline by 23.26%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: The Marquis (2011) 17 | 4: Tintin and the Lake of Sharks (1972) 18 | 5: Atharintiki Daaredi (2013) 19 | 6: The Great American Girl Robbery (1979) 20 | 7: Sex Is Zero (2002) 21 | 8: The Keepers (2017) 22 | 9: Love Life (2001) 23 | 10: Estamos Juntos (2011) 24 | 11: Heaven Is a Playground (1991) 25 | 12: Frankenstein Conquers the World (1965) 26 | 13: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 27 | 14: 1 (2014) 28 | 15: "Mahabharata 29 | 16: Patient Zero (2017) 30 | 17: Fantastic Lies (2016) 31 | 18: Lavalantula (2015) 32 | 19: More Brains! A Return to the Living Dead (2011) 33 | 20: Here Without Me (Inja bedoone man) (2011) 34 | 21: Last Day of Summer (2009) 35 | 22: UFO - Distruggete base Luna! (1971) 36 | 23: Love Is Blind (2013) 37 | 24: "2013 Rock and Roll Hall of Fame Induction Ceremony 38 | 25: Alien Tornado (2012) 39 | 26: Rio Diablo (1993) 40 | 27: Monster High: Fright On! (2011) 41 | 28: Varalaru (2006) 42 | 29: The Prodigies (2011) 43 | 30: Company (2002) 44 | 31: PSYCHO-PASS: The Movie (2016) 45 | 32: Farmageddon (2011) 46 | 33: The War at Home (1979) 47 | 34: Far Out Man (1990) 48 | 35: Ali Baba Bunny (1957) 49 | 36: Daisy Town (1971) 50 | 37: Tr?mulo (2015) 51 | 38: Emmanuelle 5 (1987) 52 | 39: Extreme Private Eros: Love Song 1974 (1974) 53 | 40: Lost in a Harem (1944) 54 | 41: Susie Q (1996) 55 | 42: Spine Tingler! The William Castle Story (2007) 56 | 43: Garfield's Fun Fest (2008) 57 | 44: "Stolen Collection 58 | 45: Salam Neighbor (2015) 59 | 46: "Tramp 60 | 47: The Immoral Mr. Teas (1959) 61 | 48: Terra (2015) 62 | 49: Lagerfeld Confidential (2007) 63 | 50: Desierto (2016) 64 | Benchmark execution time: 702940ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/vm1g/in-memory-analytics-12.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8234783480501031 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8207947957664063 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8186062264785857 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8178490435747467 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8175362662511656. 12 | The best model improves the baseline by 23.24%. 13 | Movies recommended for you: 14 | 1: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 15 | 2: Hamoun (1990) 16 | 3: The Story of Asya Klyachina (1966) 17 | 4: Love Life (2001) 18 | 5: The Great American Girl Robbery (1979) 19 | 6: Willie & Phil (1980) 20 | 7: Tintin and the Lake of Sharks (1972) 21 | 8: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 22 | 9: Shakthi: The Power (2002) 23 | 10: The Marquis (2011) 24 | 11: Love Is Blind (2013) 25 | 12: Monster High: Fright On! (2011) 26 | 13: The Immoral Mr. Teas (1959) 27 | 14: The Prodigies (2011) 28 | 15: Heaven Is a Playground (1991) 29 | 16: Kokoko (2012) 30 | 17: Here Without Me (Inja bedoone man) (2011) 31 | 18: "Tramp 32 | 19: UFO - Distruggete base Luna! (1971) 33 | 20: Ghatak: Lethal (1996) 34 | 21: Last Day of Summer (2009) 35 | 22: Awara Paagal Deewana (2002) 36 | 23: Alien Tornado (2012) 37 | 24: Aarya (2004) 38 | 25: Estamos Juntos (2011) 39 | 26: Rio Diablo (1993) 40 | 27: PSYCHO-PASS: The Movie (2016) 41 | 28: Just Write (1997) 42 | 29: An Interesting Story (1904) 43 | 30: "Mahabharata 44 | 31: Night of the Day of the Dawn of the Son of the Bride of the Return of the Terror (1991) 45 | 32: The Boss's Daughter (2016) 46 | 33: Far Out Man (1990) 47 | 34: "2013 Rock and Roll Hall of Fame Induction Ceremony 48 | 35: Emmanuelle 5 (1987) 49 | 36: Sex Is Zero (2002) 50 | 37: Extreme Private Eros: Love Song 1974 (1974) 51 | 38: Ali Baba Bunny (1957) 52 | 39: "Rage 53 | 40: Zerophilia (2005) 54 | 41: Beltracchi - The Art of the Forgery (2014) 55 | 42: Lost in a Harem (1944) 56 | 43: God?s Wedding (As Bodas de Deus) (1999) 57 | 44: More Brains! A Return to the Living Dead (2011) 58 | 45: Daisy Town (1971) 59 | 46: Susie Q (1996) 60 | 47: The Third Lover (1962) 61 | 48: Tr?mulo (2015) 62 | 49: A Year in Burgundy (2013) 63 | 50: Farmageddon (2011) 64 | Benchmark execution time: 730425ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/vm1g/in-memory-analytics-13.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8231662270152912 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8204148733783776 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8231248929006948 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8174687754490447 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8171886379866241. 12 | The best model improves the baseline by 23.27%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: The Great American Girl Robbery (1979) 17 | 4: 1 (2014) 18 | 5: Atharintiki Daaredi (2013) 19 | 6: The Marquis (2011) 20 | 7: Sex Is Zero (2002) 21 | 8: Fantastic Lies (2016) 22 | 9: Tintin and the Lake of Sharks (1972) 23 | 10: The Keepers (2017) 24 | 11: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 25 | 12: Love Life (2001) 26 | 13: Estamos Juntos (2011) 27 | 14: Heaven Is a Playground (1991) 28 | 15: The Immoral Mr. Teas (1959) 29 | 16: Patient Zero (2017) 30 | 17: The Prodigies (2011) 31 | 18: Frankenstein Conquers the World (1965) 32 | 19: More Brains! A Return to the Living Dead (2011) 33 | 20: "Mahabharata 34 | 21: Scavenger Hunt (1979) 35 | 22: Lavalantula (2015) 36 | 23: Lemonade Mouth (2011) 37 | 24: "2013 Rock and Roll Hall of Fame Induction Ceremony 38 | 25: The Story of Asya Klyachina (1966) 39 | 26: Monster High: Fright On! (2011) 40 | 27: UFO - Distruggete base Luna! (1971) 41 | 28: Rio Diablo (1993) 42 | 29: PSYCHO-PASS: The Movie (2016) 43 | 30: Far Out Man (1990) 44 | 31: Ali Baba Bunny (1957) 45 | 32: Mixed Kebab (2012) 46 | 33: Love Is Blind (2013) 47 | 34: Last Day of Summer (2009) 48 | 35: Daisy Town (1971) 49 | 36: Desierto (2016) 50 | 37: Foo Fighters: Back and Forth (2011) 51 | 38: Just Write (1997) 52 | 39: Alien Tornado (2012) 53 | 40: Night of the Day of the Dawn of the Son of the Bride of the Return of the Terror (1991) 54 | 41: Spine Tingler! The William Castle Story (2007) 55 | 42: Zakochani (2000) 56 | 43: Mamitas (2011) 57 | 44: Farmageddon (2011) 58 | 45: Beltracchi - The Art of the Forgery (2014) 59 | 46: Duplicate (1998) 60 | 47: Susie Q (1996) 61 | 48: Bugcrush (2006) 62 | 49: Extreme Private Eros: Love Song 1974 (1974) 63 | 50: Tr?mulo (2015) 64 | Benchmark execution time: 735216ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/vm1g/in-memory-analytics-14.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8211996404577605 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8208157908056765 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8173304161025062 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8160937509887961 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8158401216557066. 12 | The best model improves the baseline by 23.40%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: The Story of Asya Klyachina (1966) 16 | 3: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 17 | 4: The Great American Girl Robbery (1979) 18 | 5: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 19 | 6: The Immoral Mr. Teas (1959) 20 | 7: The Marquis (2011) 21 | 8: The Keepers (2017) 22 | 9: Tintin and the Lake of Sharks (1972) 23 | 10: 1 (2014) 24 | 11: Heaven Is a Playground (1991) 25 | 12: Jellyfish Eyes (2013) 26 | 13: UFO - Distruggete base Luna! (1971) 27 | 14: Love Is Blind (2013) 28 | 15: The Prodigies (2011) 29 | 16: Alien Tornado (2012) 30 | 17: PSYCHO-PASS: The Movie (2016) 31 | 18: Mamitas (2011) 32 | 19: Love Life (2001) 33 | 20: Losing the North (2015) 34 | 21: Sex Is Zero (2002) 35 | 22: Rio Diablo (1993) 36 | 23: Punk Vacation (1987) 37 | 24: Far Out Man (1990) 38 | 25: Frankenstein Conquers the World (1965) 39 | 26: "Mahabharata 40 | 27: Special Section (1975) 41 | 28: Lost in a Harem (1944) 42 | 29: Lavalantula (2015) 43 | 30: The Boss's Daughter (2016) 44 | 31: More Brains! A Return to the Living Dead (2011) 45 | 32: Kokoko (2012) 46 | 33: Atharintiki Daaredi (2013) 47 | 34: Emmanuelle 5 (1987) 48 | 35: Estamos Juntos (2011) 49 | 36: Lemonade Mouth (2011) 50 | 37: Daisy Town (1971) 51 | 38: A Year in Burgundy (2013) 52 | 39: The Perfect Guy (2015) 53 | 40: The Russian Novel (2013) 54 | 41: Zerophilia (2005) 55 | 42: The Ties That Bind (2015) 56 | 43: "Tramp 57 | 44: Monster High: Fright On! (2011) 58 | 45: Desierto (2016) 59 | 46: Duplicate (1998) 60 | 47: Garage Olimpo (1999) 61 | 48: Stalled (2013) 62 | 49: My Super Psycho Sweet 16 (2009) 63 | 50: Salam Neighbor (2015) 64 | Benchmark execution time: 684617ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/vm1g/in-memory-analytics-15.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8195162980333275 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8205556033124589 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8184950349524032 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.816868030446464 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8166207464516348. 12 | The best model improves the baseline by 23.32%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: The Immoral Mr. Teas (1959) 17 | 4: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 18 | 5: Alien Tornado (2012) 19 | 6: The Marquis (2011) 20 | 7: Tintin and the Lake of Sharks (1972) 21 | 8: The Great American Girl Robbery (1979) 22 | 9: Duplicate (1998) 23 | 10: Lavalantula (2015) 24 | 11: UFO - Distruggete base Luna! (1971) 25 | 12: Heaven Is a Playground (1991) 26 | 13: The Prodigies (2011) 27 | 14: Lemonade Mouth (2011) 28 | 15: Far Out Man (1990) 29 | 16: The Keepers (2017) 30 | 17: 1 (2014) 31 | 18: Frankenstein Conquers the World (1965) 32 | 19: Rio Diablo (1993) 33 | 20: PSYCHO-PASS: The Movie (2016) 34 | 21: Heroes Shed No Tears (1986) 35 | 22: Vampyres (1974) 36 | 23: More Brains! A Return to the Living Dead (2011) 37 | 24: Susie Q (1996) 38 | 25: Monster High: Fright On! (2011) 39 | 26: Sex Is Zero (2002) 40 | 27: Emmanuelle 5 (1987) 41 | 28: Lilian's Story (1995) 42 | 29: Zakochani (2000) 43 | 30: Last Day of Summer (2009) 44 | 31: "Rage 45 | 32: Thor: Ragnarok (2017) 46 | 33: Here Without Me (Inja bedoone man) (2011) 47 | 34: Night of the Day of the Dawn of the Son of the Bride of the Return of the Terror (1991) 48 | 35: "Muppet Christmas: Letters to Santa 49 | 36: The Story of Asya Klyachina (1966) 50 | 37: Daisy Town (1971) 51 | 38: The Harmony Game (2011) 52 | 39: Horrorvision (2001) 53 | 40: "2013 Rock and Roll Hall of Fame Induction Ceremony 54 | 41: Carol Channing: Larger Than Life (2012) 55 | 42: Mamitas (2011) 56 | 43: "Stolen Collection 57 | 44: Estamos Juntos (2011) 58 | 45: The Ties That Bind (2015) 59 | 46: Swept Under (2015) 60 | 47: Tiger Orange (2014) 61 | 48: An Interesting Story (1904) 62 | 49: Atharintiki Daaredi (2013) 63 | 50: Provocateur (1998) 64 | Benchmark execution time: 712647ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/vm1g/in-memory-analytics-16.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8212006075717769 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8212687775692298 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8185708531282949 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8172964701484808 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8169773343638497. 12 | The best model improves the baseline by 23.29%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: The Story of Asya Klyachina (1966) 17 | 4: The Great American Girl Robbery (1979) 18 | 5: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 19 | 6: Love Life (2001) 20 | 7: The Keepers (2017) 21 | 8: Atharintiki Daaredi (2013) 22 | 9: Alien Tornado (2012) 23 | 10: The Marquis (2011) 24 | 11: Tintin and the Lake of Sharks (1972) 25 | 12: The Immoral Mr. Teas (1959) 26 | 13: Mamitas (2011) 27 | 14: Heaven Is a Playground (1991) 28 | 15: UFO - Distruggete base Luna! (1971) 29 | 16: Love Is Blind (2013) 30 | 17: PSYCHO-PASS: The Movie (2016) 31 | 18: Lemonade Mouth (2011) 32 | 19: The Prodigies (2011) 33 | 20: Losing the North (2015) 34 | 21: More Brains! A Return to the Living Dead (2011) 35 | 22: Rio Diablo (1993) 36 | 23: 1 (2014) 37 | 24: Lost in a Harem (1944) 38 | 25: Frankenstein Conquers the World (1965) 39 | 26: Punk Vacation (1987) 40 | 27: Far Out Man (1990) 41 | 28: Emmanuelle 5 (1987) 42 | 29: Sex Is Zero (2002) 43 | 30: "Mahabharata 44 | 31: Don't You Forget About Me (2009) 45 | 32: Desierto (2016) 46 | 33: Estamos Juntos (2011) 47 | 34: Tr?mulo (2015) 48 | 35: Daisy Town (1971) 49 | 36: Tiger Orange (2014) 50 | 37: The Ties That Bind (2015) 51 | 38: Ali Baba Bunny (1957) 52 | 39: Last Day of Summer (2009) 53 | 40: "Stolen Collection 54 | 41: Garfield's Fun Fest (2008) 55 | 42: Drive (1997) 56 | 43: Kokoko (2012) 57 | 44: The Perfect Guy (2015) 58 | 45: Company (2002) 59 | 46: "2013 Rock and Roll Hall of Fame Induction Ceremony 60 | 47: Susie Q (1996) 61 | 48: My Super Psycho Sweet 16 (2009) 62 | 49: Spoiler (1998) 63 | 50: Lagerfeld Confidential (2007) 64 | Benchmark execution time: 766040ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/vm1g/in-memory-analytics-17.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8246001163411317 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8227935945780352 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8211040494654083 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8169549494101368 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8166689762406848. 12 | The best model improves the baseline by 23.32%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 17 | 4: The Marquis (2011) 18 | 5: The Great American Girl Robbery (1979) 19 | 6: Lavalantula (2015) 20 | 7: Tintin and the Lake of Sharks (1972) 21 | 8: The Immoral Mr. Teas (1959) 22 | 9: Alien Tornado (2012) 23 | 10: Monster High: Fright On! (2011) 24 | 11: Sex Is Zero (2002) 25 | 12: Fantastic Lies (2016) 26 | 13: 1 (2014) 27 | 14: Heaven Is a Playground (1991) 28 | 15: The Keepers (2017) 29 | 16: Love Life (2001) 30 | 17: Frankenstein Conquers the World (1965) 31 | 18: Estamos Juntos (2011) 32 | 19: Atharintiki Daaredi (2013) 33 | 20: Rio Diablo (1993) 34 | 21: Night of the Day of the Dawn of the Son of the Bride of the Return of the Terror (1991) 35 | 22: The Story of Asya Klyachina (1966) 36 | 23: UFO - Distruggete base Luna! (1971) 37 | 24: PSYCHO-PASS: The Movie (2016) 38 | 25: More Brains! A Return to the Living Dead (2011) 39 | 26: The Prodigies (2011) 40 | 27: Kokoko (2012) 41 | 28: "2013 Rock and Roll Hall of Fame Induction Ceremony 42 | 29: Here Without Me (Inja bedoone man) (2011) 43 | 30: Duplicate (1998) 44 | 31: Far Out Man (1990) 45 | 32: Ali Baba Bunny (1957) 46 | 33: Love Is Blind (2013) 47 | 34: Mamitas (2011) 48 | 35: Patient Zero (2017) 49 | 36: "Rage 50 | 37: Beltracchi - The Art of the Forgery (2014) 51 | 38: Susie Q (1996) 52 | 39: "Mahabharata 53 | 40: Last Day of Summer (2009) 54 | 41: Zakochani (2000) 55 | 42: Daisy Town (1971) 56 | 43: Manhattan Romance (2015) 57 | 44: Spine Tingler! The William Castle Story (2007) 58 | 45: Lemonade Mouth (2011) 59 | 46: The Boss's Daughter (2016) 60 | 47: Extreme Private Eros: Love Song 1974 (1974) 61 | 48: Farmageddon (2011) 62 | 49: Desierto (2016) 63 | 50: Hatchet III (2013) 64 | Benchmark execution time: 845471ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/vm1g/in-memory-analytics-18.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8274047905952737 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.820408628300064 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8203743695597033 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8175005638705627 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8172299761983786. 12 | The best model improves the baseline by 23.27%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: The Immoral Mr. Teas (1959) 17 | 4: The Story of Asya Klyachina (1966) 18 | 5: The Great American Girl Robbery (1979) 19 | 6: Tintin and the Lake of Sharks (1972) 20 | 7: Atharintiki Daaredi (2013) 21 | 8: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 22 | 9: The Marquis (2011) 23 | 10: Estamos Juntos (2011) 24 | 11: Sex Is Zero (2002) 25 | 12: The Prodigies (2011) 26 | 13: Heaven Is a Playground (1991) 27 | 14: Monster High: Fright On! (2011) 28 | 15: Lavalantula (2015) 29 | 16: Alien Tornado (2012) 30 | 17: UFO - Distruggete base Luna! (1971) 31 | 18: Duplicate (1998) 32 | 19: Zakochani (2000) 33 | 20: Emmanuelle 5 (1987) 34 | 21: The Keepers (2017) 35 | 22: Love Life (2001) 36 | 23: Frankenstein Conquers the World (1965) 37 | 24: Tiger Orange (2014) 38 | 25: Rio Diablo (1993) 39 | 26: Lemonade Mouth (2011) 40 | 27: Losing the North (2015) 41 | 28: PSYCHO-PASS: The Movie (2016) 42 | 29: Last Day of Summer (2009) 43 | 30: Night of the Day of the Dawn of the Son of the Bride of the Return of the Terror (1991) 44 | 31: Far Out Man (1990) 45 | 32: 1 (2014) 46 | 33: Susie Q (1996) 47 | 34: More Brains! A Return to the Living Dead (2011) 48 | 35: Jellyfish Eyes (2013) 49 | 36: Ali Baba Bunny (1957) 50 | 37: Daisy Town (1971) 51 | 38: Fantastic Lies (2016) 52 | 39: Here Without Me (Inja bedoone man) (2011) 53 | 40: Special Section (1975) 54 | 41: "Mahabharata 55 | 42: Farmageddon (2011) 56 | 43: Rasputin (1996) 57 | 44: Love Is Blind (2013) 58 | 45: High Risk (1981) 59 | 46: Mixed Kebab (2012) 60 | 47: The Boss's Daughter (2016) 61 | 48: Beltracchi - The Art of the Forgery (2014) 62 | 49: "Stolen Collection 63 | 50: The Ties That Bind (2015) 64 | Benchmark execution time: 712279ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/vm1g/in-memory-analytics-19.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8230269015193818 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8214043476770566 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8186999610622858 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8171115950350384 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8168431059074507. 12 | The best model improves the baseline by 23.30%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: The Great American Girl Robbery (1979) 17 | 4: 1 (2014) 18 | 5: Atharintiki Daaredi (2013) 19 | 6: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 20 | 7: The Marquis (2011) 21 | 8: The Keepers (2017) 22 | 9: The Immoral Mr. Teas (1959) 23 | 10: Love Life (2001) 24 | 11: Sex Is Zero (2002) 25 | 12: Tintin and the Lake of Sharks (1972) 26 | 13: Fantastic Lies (2016) 27 | 14: Heaven Is a Playground (1991) 28 | 15: Patient Zero (2017) 29 | 16: Frankenstein Conquers the World (1965) 30 | 17: Estamos Juntos (2011) 31 | 18: "Mahabharata 32 | 19: More Brains! A Return to the Living Dead (2011) 33 | 20: Monster High: Fright On! (2011) 34 | 21: Love Is Blind (2013) 35 | 22: Lemonade Mouth (2011) 36 | 23: Mixed Kebab (2012) 37 | 24: Rio Diablo (1993) 38 | 25: Just Write (1997) 39 | 26: Far Out Man (1990) 40 | 27: The Prodigies (2011) 41 | 28: Mamitas (2011) 42 | 29: PSYCHO-PASS: The Movie (2016) 43 | 30: Night of the Day of the Dawn of the Son of the Bride of the Return of the Terror (1991) 44 | 31: Ali Baba Bunny (1957) 45 | 32: "2013 Rock and Roll Hall of Fame Induction Ceremony 46 | 33: The Story of Asya Klyachina (1966) 47 | 34: UFO - Distruggete base Luna! (1971) 48 | 35: Daisy Town (1971) 49 | 36: Scavenger Hunt (1979) 50 | 37: Emmanuelle 5 (1987) 51 | 38: Beltracchi - The Art of the Forgery (2014) 52 | 39: Tr?mulo (2015) 53 | 40: Alien Tornado (2012) 54 | 41: Desierto (2016) 55 | 42: Extreme Private Eros: Love Song 1974 (1974) 56 | 43: A Year in Burgundy (2013) 57 | 44: Scooby-Doo! Frankencreepy (2014) 58 | 45: Lavalantula (2015) 59 | 46: Seven Dwarfs (2004) 60 | 47: Foo Fighters: Back and Forth (2011) 61 | 48: Susie Q (1996) 62 | 49: Last Day of Summer (2009) 63 | 50: "Stolen Collection 64 | Benchmark execution time: 672395ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/vm1g/in-memory-analytics-20.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8231512693729028 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8218253217579928 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8234048730353205 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8163690949043134 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8160746829957153. 12 | The best model improves the baseline by 23.38%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: 1 (2014) 17 | 4: The Keepers (2017) 18 | 5: The Immoral Mr. Teas (1959) 19 | 6: The Story of Asya Klyachina (1966) 20 | 7: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 21 | 8: Atharintiki Daaredi (2013) 22 | 9: The Great American Girl Robbery (1979) 23 | 10: The Marquis (2011) 24 | 11: Frankenstein Conquers the World (1965) 25 | 12: Sex Is Zero (2002) 26 | 13: Tintin and the Lake of Sharks (1972) 27 | 14: Heaven Is a Playground (1991) 28 | 15: Fantastic Lies (2016) 29 | 16: Estamos Juntos (2011) 30 | 17: Love Life (2001) 31 | 18: UFO - Distruggete base Luna! (1971) 32 | 19: PSYCHO-PASS: The Movie (2016) 33 | 20: The Prodigies (2011) 34 | 21: Losing the North (2015) 35 | 22: "Mahabharata 36 | 23: More Brains! A Return to the Living Dead (2011) 37 | 24: Far Out Man (1990) 38 | 25: Lemonade Mouth (2011) 39 | 26: Mamitas (2011) 40 | 27: Rio Diablo (1993) 41 | 28: Tiger Orange (2014) 42 | 29: Mixed Kebab (2012) 43 | 30: Don't You Forget About Me (2009) 44 | 31: Alien Tornado (2012) 45 | 32: Duplicate (1998) 46 | 33: Love Is Blind (2013) 47 | 34: Scavenger Hunt (1979) 48 | 35: Daisy Town (1971) 49 | 36: Emmanuelle 5 (1987) 50 | 37: Lavalantula (2015) 51 | 38: "2013 Rock and Roll Hall of Fame Induction Ceremony 52 | 39: Desierto (2016) 53 | 40: Tr?mulo (2015) 54 | 41: Lost in a Harem (1944) 55 | 42: Punk Vacation (1987) 56 | 43: The War at Home (1979) 57 | 44: Heroes Shed No Tears (1986) 58 | 45: Vampyres (1974) 59 | 46: Last Day of Summer (2009) 60 | 47: "Stolen Collection 61 | 48: The Ties That Bind (2015) 62 | 49: "Passion of Ayn Rand 63 | 50: Speech & Debate (2017) 64 | Benchmark execution time: 660474ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/vm2m/in-memory-analytics-01.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8236348462499923 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8212760056802391 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8238773713460974 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8171407723331062 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8168857166300659. 12 | The best model improves the baseline by 23.30%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 17 | 4: The Immoral Mr. Teas (1959) 18 | 5: The Marquis (2011) 19 | 6: Alien Tornado (2012) 20 | 7: Tintin and the Lake of Sharks (1972) 21 | 8: UFO - Distruggete base Luna! (1971) 22 | 9: Duplicate (1998) 23 | 10: The Great American Girl Robbery (1979) 24 | 11: The Prodigies (2011) 25 | 12: Frankenstein Conquers the World (1965) 26 | 13: Heaven Is a Playground (1991) 27 | 14: 1 (2014) 28 | 15: Lemonade Mouth (2011) 29 | 16: Zakochani (2000) 30 | 17: Far Out Man (1990) 31 | 18: Sex Is Zero (2002) 32 | 19: Emmanuelle 5 (1987) 33 | 20: Rio Diablo (1993) 34 | 21: The Keepers (2017) 35 | 22: Here Without Me (Inja bedoone man) (2011) 36 | 23: Estamos Juntos (2011) 37 | 24: Atharintiki Daaredi (2013) 38 | 25: Susie Q (1996) 39 | 26: Heroes Shed No Tears (1986) 40 | 27: Vampyres (1974) 41 | 28: Last Day of Summer (2009) 42 | 29: Lavalantula (2015) 43 | 30: Daisy Town (1971) 44 | 31: More Brains! A Return to the Living Dead (2011) 45 | 32: Monster High: Fright On! (2011) 46 | 33: Varalaru (2006) 47 | 34: PSYCHO-PASS: The Movie (2016) 48 | 35: Fantastic Lies (2016) 49 | 36: "Rage 50 | 37: Swept Under (2015) 51 | 38: "2013 Rock and Roll Hall of Fame Induction Ceremony 52 | 39: Tiger Orange (2014) 53 | 40: Breaking a Monster (2015) 54 | 41: Horrorvision (2001) 55 | 42: The War at Home (1979) 56 | 43: Mamitas (2011) 57 | 44: "Stolen Collection 58 | 45: "Muppet Christmas: Letters to Santa 59 | 46: Night of the Day of the Dawn of the Son of the Bride of the Return of the Terror (1991) 60 | 47: Thor: Ragnarok (2017) 61 | 48: Ali Baba Bunny (1957) 62 | 49: The Ties That Bind (2015) 63 | 50: An Interesting Story (1904) 64 | Benchmark execution time: 689157ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/vm2m/in-memory-analytics-03.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8216284777156878 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8212022610443855 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8198302390233677 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8171472516501518 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8168619818119341. 12 | The best model improves the baseline by 23.30%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: The Immoral Mr. Teas (1959) 17 | 4: The Marquis (2011) 18 | 5: The Great American Girl Robbery (1979) 19 | 6: Tintin and the Lake of Sharks (1972) 20 | 7: Estamos Juntos (2011) 21 | 8: Sex Is Zero (2002) 22 | 9: Fantastic Lies (2016) 23 | 10: Monster High: Fright On! (2011) 24 | 11: Lavalantula (2015) 25 | 12: The Story of Asya Klyachina (1966) 26 | 13: Atharintiki Daaredi (2013) 27 | 14: The Prodigies (2011) 28 | 15: Frankenstein Conquers the World (1965) 29 | 16: Heaven Is a Playground (1991) 30 | 17: UFO - Distruggete base Luna! (1971) 31 | 18: Alien Tornado (2012) 32 | 19: Last Day of Summer (2009) 33 | 20: PSYCHO-PASS: The Movie (2016) 34 | 21: Tiger Orange (2014) 35 | 22: More Brains! A Return to the Living Dead (2011) 36 | 23: The Keepers (2017) 37 | 24: Far Out Man (1990) 38 | 25: Rio Diablo (1993) 39 | 26: Daisy Town (1971) 40 | 27: Duplicate (1998) 41 | 28: Lemonade Mouth (2011) 42 | 29: "Mahabharata 43 | 30: "2013 Rock and Roll Hall of Fame Induction Ceremony 44 | 31: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 45 | 32: Emmanuelle 5 (1987) 46 | 33: Here Without Me (Inja bedoone man) (2011) 47 | 34: Losing the North (2015) 48 | 35: Susie Q (1996) 49 | 36: Love Is Blind (2013) 50 | 37: The War at Home (1979) 51 | 38: Love Life (2001) 52 | 39: Foo Fighters: Back and Forth (2011) 53 | 40: 1 (2014) 54 | 41: Farmageddon (2011) 55 | 42: "Stolen Collection 56 | 43: Seven Dwarfs (2004) 57 | 44: Jeff Dunham: Arguing with Myself (2006) 58 | 45: Patient Zero (2017) 59 | 46: Rasputin (1996) 60 | 47: Spine Tingler! The William Castle Story (2007) 61 | 48: Kokoko (2012) 62 | 49: Mad Ron's Prevues from Hell (1987) 63 | 50: "Tramp 64 | Benchmark execution time: 646115ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/vm2m/in-memory-analytics-04.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8210308418589378 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.821038733240872 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.822483124291509 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8165651604340385 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8163375561612014. 12 | The best model improves the baseline by 23.35%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: The Marquis (2011) 17 | 4: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 18 | 5: Alien Tornado (2012) 19 | 6: Pulsar (2011) 20 | 7: The Great American Girl Robbery (1979) 21 | 8: Mamitas (2011) 22 | 9: Even Angels Eat Beans (1973) 23 | 10: Monster High: Fright On! (2011) 24 | 11: Frankenstein Conquers the World (1965) 25 | 12: Tintin and the Lake of Sharks (1972) 26 | 13: Atharintiki Daaredi (2013) 27 | 14: The Keepers (2017) 28 | 15: Heaven Is a Playground (1991) 29 | 16: Lost in a Harem (1944) 30 | 17: Patient Zero (2017) 31 | 18: Kokoko (2012) 32 | 19: Love Life (2001) 33 | 20: Extreme Private Eros: Love Song 1974 (1974) 34 | 21: The Spacewalker (2017) 35 | 22: God?s Wedding (As Bodas de Deus) (1999) 36 | 23: Rio Diablo (1993) 37 | 24: "Mahabharata 38 | 25: Justice League (2017) 39 | 26: 1 (2014) 40 | 27: Daisy Town (1971) 41 | 28: Far Out Man (1990) 42 | 29: PSYCHO-PASS: The Movie (2016) 43 | 30: It Happened on Fifth Avenue (1947) 44 | 31: A Year in Burgundy (2013) 45 | 32: More Brains! A Return to the Living Dead (2011) 46 | 33: UFO - Distruggete base Luna! (1971) 47 | 34: Loser Takes All! (Qui perd gagne !) (2003) 48 | 35: The War at Home (1979) 49 | 36: Here Without Me (Inja bedoone man) (2011) 50 | 37: Sex Is Zero (2002) 51 | 38: Scavenger Hunt (1979) 52 | 39: "Frozen North 53 | 40: Thor: Ragnarok (2017) 54 | 41: Lagerfeld Confidential (2007) 55 | 42: Scooby-Doo! Frankencreepy (2014) 56 | 43: The Third Lover (1962) 57 | 44: Hatchet III (2013) 58 | 45: An Interesting Story (1904) 59 | 46: Tr?mulo (2015) 60 | 47: The Prodigies (2011) 61 | 48: Go for It (1983) 62 | 49: Love Is Blind (2013) 63 | 50: Desierto (2016) 64 | Benchmark execution time: 724675ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/vm2m/in-memory-analytics-05.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8204304838550726 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8217604180905204 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.818501025764456 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8165316691157859 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8162670310801042. 12 | The best model improves the baseline by 23.36%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: The Immoral Mr. Teas (1959) 17 | 4: Tintin and the Lake of Sharks (1972) 18 | 5: The Marquis (2011) 19 | 6: Duplicate (1998) 20 | 7: The Prodigies (2011) 21 | 8: Sex Is Zero (2002) 22 | 9: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 23 | 10: Heaven Is a Playground (1991) 24 | 11: UFO - Distruggete base Luna! (1971) 25 | 12: Frankenstein Conquers the World (1965) 26 | 13: Estamos Juntos (2011) 27 | 14: Monster High: Fright On! (2011) 28 | 15: Far Out Man (1990) 29 | 16: Last Day of Summer (2009) 30 | 17: More Brains! A Return to the Living Dead (2011) 31 | 18: Rio Diablo (1993) 32 | 19: 1 (2014) 33 | 20: The Keepers (2017) 34 | 21: Scavenger Hunt (1979) 35 | 22: "2013 Rock and Roll Hall of Fame Induction Ceremony 36 | 23: Night of the Day of the Dawn of the Son of the Bride of the Return of the Terror (1991) 37 | 24: PSYCHO-PASS: The Movie (2016) 38 | 25: Here Without Me (Inja bedoone man) (2011) 39 | 26: Fantastic Lies (2016) 40 | 27: Susie Q (1996) 41 | 28: The Great American Girl Robbery (1979) 42 | 29: Varalaru (2006) 43 | 30: The Story of Asya Klyachina (1966) 44 | 31: Emmanuelle 5 (1987) 45 | 32: Mamitas (2011) 46 | 33: Farmageddon (2011) 47 | 34: Ali Baba Bunny (1957) 48 | 35: Alien Tornado (2012) 49 | 36: Losing the North (2015) 50 | 37: Daisy Town (1971) 51 | 38: Atharintiki Daaredi (2013) 52 | 39: "Muppet Christmas: Letters to Santa 53 | 40: Love Is Blind (2013) 54 | 41: "Rage 55 | 42: The Ties That Bind (2015) 56 | 43: Lemonade Mouth (2011) 57 | 44: Love Life (2001) 58 | 45: Spine Tingler! The William Castle Story (2007) 59 | 46: Manhattan Romance (2015) 60 | 47: "Mahabharata 61 | 48: Don't You Forget About Me (2009) 62 | 49: Hatchet III (2013) 63 | 50: "Stolen Collection 64 | Benchmark execution time: 649729ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/vm2m/in-memory-analytics-07.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8206684277769543 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8209318414945874 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8210458737150002 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8173838635376965 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8170943879790611. 12 | The best model improves the baseline by 23.28%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: The Immoral Mr. Teas (1959) 17 | 4: Tintin and the Lake of Sharks (1972) 18 | 5: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 19 | 6: The Marquis (2011) 20 | 7: Sex Is Zero (2002) 21 | 8: Atharintiki Daaredi (2013) 22 | 9: The Great American Girl Robbery (1979) 23 | 10: Emmanuelle 5 (1987) 24 | 11: Heaven Is a Playground (1991) 25 | 12: The Prodigies (2011) 26 | 13: Frankenstein Conquers the World (1965) 27 | 14: Duplicate (1998) 28 | 15: UFO - Distruggete base Luna! (1971) 29 | 16: Monster High: Fright On! (2011) 30 | 17: The Keepers (2017) 31 | 18: Fantastic Lies (2016) 32 | 19: Night of the Day of the Dawn of the Son of the Bride of the Return of the Terror (1991) 33 | 20: Lavalantula (2015) 34 | 21: 1 (2014) 35 | 22: Far Out Man (1990) 36 | 23: More Brains! A Return to the Living Dead (2011) 37 | 24: Patient Zero (2017) 38 | 25: Losing the North (2015) 39 | 26: Lemonade Mouth (2011) 40 | 27: Tiger Orange (2014) 41 | 28: High Risk (1981) 42 | 29: Rio Diablo (1993) 43 | 30: PSYCHO-PASS: The Movie (2016) 44 | 31: Susie Q (1996) 45 | 32: The Story of Asya Klyachina (1966) 46 | 33: Last Day of Summer (2009) 47 | 34: Estamos Juntos (2011) 48 | 35: "Mahabharata 49 | 36: Swept Under (2015) 50 | 37: Here Without Me (Inja bedoone man) (2011) 51 | 38: Heroes Shed No Tears (1986) 52 | 39: Vampyres (1974) 53 | 40: Ali Baba Bunny (1957) 54 | 41: "2013 Rock and Roll Hall of Fame Induction Ceremony 55 | 42: Daisy Town (1971) 56 | 43: V??peli K?rmy - Taisteluni (1994) 57 | 44: Alien Tornado (2012) 58 | 45: Zakochani (2000) 59 | 46: The Ties That Bind (2015) 60 | 47: Love Life (2001) 61 | 48: Farmageddon (2011) 62 | 49: Beltracchi - The Art of the Forgery (2014) 63 | 50: "Muppet Christmas: Letters to Santa 64 | Benchmark execution time: 771837ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/vm2m/in-memory-analytics-08.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8199410834937039 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8217555863001843 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8176825793824803 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8172995290388207 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8170560674351343. 12 | The best model improves the baseline by 23.28%. 13 | Movies recommended for you: 14 | 1: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 15 | 2: Hamoun (1990) 16 | 3: The Great American Girl Robbery (1979) 17 | 4: Fantastic Lies (2016) 18 | 5: Atharintiki Daaredi (2013) 19 | 6: 1 (2014) 20 | 7: Tintin and the Lake of Sharks (1972) 21 | 8: The Marquis (2011) 22 | 9: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 23 | 10: Monster High: Fright On! (2011) 24 | 11: Love Life (2001) 25 | 12: Heaven Is a Playground (1991) 26 | 13: The Keepers (2017) 27 | 14: Patient Zero (2017) 28 | 15: Estamos Juntos (2011) 29 | 16: Sex Is Zero (2002) 30 | 17: Love Is Blind (2013) 31 | 18: Frankenstein Conquers the World (1965) 32 | 19: The Prodigies (2011) 33 | 20: "Mahabharata 34 | 21: The Story of Asya Klyachina (1966) 35 | 22: More Brains! A Return to the Living Dead (2011) 36 | 23: The Immoral Mr. Teas (1959) 37 | 24: Jeff Dunham: Arguing with Myself (2006) 38 | 25: Emmanuelle 5 (1987) 39 | 26: Lemonade Mouth (2011) 40 | 27: Rio Diablo (1993) 41 | 28: Far Out Man (1990) 42 | 29: PSYCHO-PASS: The Movie (2016) 43 | 30: Here Without Me (Inja bedoone man) (2011) 44 | 31: Tiger Orange (2014) 45 | 32: Scavenger Hunt (1979) 46 | 33: Lavalantula (2015) 47 | 34: Night of the Day of the Dawn of the Son of the Bride of the Return of the Terror (1991) 48 | 35: Ali Baba Bunny (1957) 49 | 36: Daisy Town (1971) 50 | 37: UFO - Distruggete base Luna! (1971) 51 | 38: Susie Q (1996) 52 | 39: Lost in a Harem (1944) 53 | 40: "2013 Rock and Roll Hall of Fame Induction Ceremony 54 | 41: Beltracchi - The Art of the Forgery (2014) 55 | 42: Heroes Shed No Tears (1986) 56 | 43: Vampyres (1974) 57 | 44: Last Day of Summer (2009) 58 | 45: Losing the North (2015) 59 | 46: A Year in Burgundy (2013) 60 | 47: Tr?mulo (2015) 61 | 48: Seven Dwarfs (2004) 62 | 49: Desierto (2016) 63 | 50: Just Write (1997) 64 | Benchmark execution time: 701366ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/vm2m/in-memory-analytics-10.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8237582398672124 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8212547957813284 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8171537659449631 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8161280823194703 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.815842939625906. 12 | The best model improves the baseline by 23.40%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: The Keepers (2017) 17 | 4: Atharintiki Daaredi (2013) 18 | 5: The Great American Girl Robbery (1979) 19 | 6: 1 (2014) 20 | 7: Love Life (2001) 21 | 8: The Marquis (2011) 22 | 9: Sex Is Zero (2002) 23 | 10: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 24 | 11: The Immoral Mr. Teas (1959) 25 | 12: The Story of Asya Klyachina (1966) 26 | 13: Tintin and the Lake of Sharks (1972) 27 | 14: Frankenstein Conquers the World (1965) 28 | 15: Heaven Is a Playground (1991) 29 | 16: Patient Zero (2017) 30 | 17: "Mahabharata 31 | 18: More Brains! A Return to the Living Dead (2011) 32 | 19: The Prodigies (2011) 33 | 20: PSYCHO-PASS: The Movie (2016) 34 | 21: Just Write (1997) 35 | 22: Fantastic Lies (2016) 36 | 23: Love Is Blind (2013) 37 | 24: Punk Vacation (1987) 38 | 25: Mixed Kebab (2012) 39 | 26: Monster High: Fright On! (2011) 40 | 27: Lemonade Mouth (2011) 41 | 28: Rio Diablo (1993) 42 | 29: The Boss's Daughter (2016) 43 | 30: Tr?mulo (2015) 44 | 31: Far Out Man (1990) 45 | 32: Losing the North (2015) 46 | 33: UFO - Distruggete base Luna! (1971) 47 | 34: Desierto (2016) 48 | 35: Scavenger Hunt (1979) 49 | 36: "2013 Rock and Roll Hall of Fame Induction Ceremony 50 | 37: Estamos Juntos (2011) 51 | 38: Salam Neighbor (2015) 52 | 39: Lost in a Harem (1944) 53 | 40: Daisy Town (1971) 54 | 41: Lavalantula (2015) 55 | 42: Emmanuelle 5 (1987) 56 | 43: Mamitas (2011) 57 | 44: Shock Head Soul (2011) 58 | 45: Ali Baba Bunny (1957) 59 | 46: The Perfect Guy (2015) 60 | 47: "Passion of Ayn Rand 61 | 48: Lagerfeld Confidential (2007) 62 | 49: "Tripper 63 | 50: Garage Olimpo (1999) 64 | Benchmark execution time: 668268ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/vm2m/in-memory-analytics-11.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8241370966633359 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8221274239939389 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.818969661153704 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8175282421016405 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8172673304832039. 12 | The best model improves the baseline by 23.26%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: The Keepers (2017) 17 | 4: Atharintiki Daaredi (2013) 18 | 5: The Great American Girl Robbery (1979) 19 | 6: Love Life (2001) 20 | 7: The Marquis (2011) 21 | 8: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 22 | 9: The Story of Asya Klyachina (1966) 23 | 10: Sex Is Zero (2002) 24 | 11: The Immoral Mr. Teas (1959) 25 | 12: Tintin and the Lake of Sharks (1972) 26 | 13: 1 (2014) 27 | 14: Frankenstein Conquers the World (1965) 28 | 15: Scavenger Hunt (1979) 29 | 16: Heaven Is a Playground (1991) 30 | 17: Mixed Kebab (2012) 31 | 18: Monster High: Fright On! (2011) 32 | 19: "Mahabharata 33 | 20: Estamos Juntos (2011) 34 | 21: The Prodigies (2011) 35 | 22: More Brains! A Return to the Living Dead (2011) 36 | 23: Punk Vacation (1987) 37 | 24: Patient Zero (2017) 38 | 25: Love Is Blind (2013) 39 | 26: PSYCHO-PASS: The Movie (2016) 40 | 27: Fantastic Lies (2016) 41 | 28: Losing the North (2015) 42 | 29: Just Write (1997) 43 | 30: Far Out Man (1990) 44 | 31: The Boss's Daughter (2016) 45 | 32: Lost in a Harem (1944) 46 | 33: UFO - Distruggete base Luna! (1971) 47 | 34: Tr?mulo (2015) 48 | 35: "2013 Rock and Roll Hall of Fame Induction Ceremony 49 | 36: Rio Diablo (1993) 50 | 37: Zerophilia (2005) 51 | 38: Lemonade Mouth (2011) 52 | 39: A Year in Burgundy (2013) 53 | 40: Heroes Shed No Tears (1986) 54 | 41: Vampyres (1974) 55 | 42: Desierto (2016) 56 | 43: Daisy Town (1971) 57 | 44: Beltracchi - The Art of the Forgery (2014) 58 | 45: Don't You Forget About Me (2009) 59 | 46: Lagerfeld Confidential (2007) 60 | 47: Scooby-Doo! Frankencreepy (2014) 61 | 48: Night of the Day of the Dawn of the Son of the Bride of the Return of the Terror (1991) 62 | 49: Salam Neighbor (2015) 63 | 50: "Tripper 64 | Benchmark execution time: 746644ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/vm2m/in-memory-analytics-12.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8249405217499647 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8211899768836818 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8230585340480013 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8176153134799025 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8173103131409937. 12 | The best model improves the baseline by 23.26%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: 1 (2014) 17 | 4: The Great American Girl Robbery (1979) 18 | 5: Fantastic Lies (2016) 19 | 6: The Immoral Mr. Teas (1959) 20 | 7: The Keepers (2017) 21 | 8: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 22 | 9: The Story of Asya Klyachina (1966) 23 | 10: The Marquis (2011) 24 | 11: Tintin and the Lake of Sharks (1972) 25 | 12: Sex Is Zero (2002) 26 | 13: Atharintiki Daaredi (2013) 27 | 14: Love Life (2001) 28 | 15: Frankenstein Conquers the World (1965) 29 | 16: Heaven Is a Playground (1991) 30 | 17: Lemonade Mouth (2011) 31 | 18: "Mahabharata 32 | 19: Tiger Orange (2014) 33 | 20: Losing the North (2015) 34 | 21: Love Is Blind (2013) 35 | 22: Punk Vacation (1987) 36 | 23: UFO - Distruggete base Luna! (1971) 37 | 24: Night of the Day of the Dawn of the Son of the Bride of the Return of the Terror (1991) 38 | 25: The Prodigies (2011) 39 | 26: Speech & Debate (2017) 40 | 27: More Brains! A Return to the Living Dead (2011) 41 | 28: Monster High: Fright On! (2011) 42 | 29: Daisy Town (1971) 43 | 30: Far Out Man (1990) 44 | 31: PSYCHO-PASS: The Movie (2016) 45 | 32: Scavenger Hunt (1979) 46 | 33: Lost in a Harem (1944) 47 | 34: Rio Diablo (1993) 48 | 35: The Boss's Daughter (2016) 49 | 36: Tr?mulo (2015) 50 | 37: Emmanuelle 5 (1987) 51 | 38: Desierto (2016) 52 | 39: Duplicate (1998) 53 | 40: Mixed Kebab (2012) 54 | 41: "2013 Rock and Roll Hall of Fame Induction Ceremony 55 | 42: Estamos Juntos (2011) 56 | 43: Beltracchi - The Art of the Forgery (2014) 57 | 44: Mad Ron's Prevues from Hell (1987) 58 | 45: Heroes Shed No Tears (1986) 59 | 46: Vampyres (1974) 60 | 47: Susie Q (1996) 61 | 48: Garfield's Fun Fest (2008) 62 | 49: Bad Hair Day (2015) 63 | 50: Mamitas (2011) 64 | Benchmark execution time: 648242ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/vm2m/in-memory-analytics-13.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8231278205085455 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8207584672700481 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8182510778574764 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.81702262751041 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8167264329290556. 12 | The best model improves the baseline by 23.31%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: The Immoral Mr. Teas (1959) 17 | 4: The Great American Girl Robbery (1979) 18 | 5: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 19 | 6: Tintin and the Lake of Sharks (1972) 20 | 7: The Marquis (2011) 21 | 8: The Prodigies (2011) 22 | 9: The Keepers (2017) 23 | 10: Love Life (2001) 24 | 11: Heaven Is a Playground (1991) 25 | 12: Scavenger Hunt (1979) 26 | 13: Duplicate (1998) 27 | 14: Heroes Shed No Tears (1986) 28 | 15: Vampyres (1974) 29 | 16: Emmanuelle 5 (1987) 30 | 17: Lemonade Mouth (2011) 31 | 18: Losing the North (2015) 32 | 19: Sex Is Zero (2002) 33 | 20: Estamos Juntos (2011) 34 | 21: Fantastic Lies (2016) 35 | 22: Punk Vacation (1987) 36 | 23: Frankenstein Conquers the World (1965) 37 | 24: Monster High: Fright On! (2011) 38 | 25: The Story of Asya Klyachina (1966) 39 | 26: Evilenko (2004) 40 | 27: UFO - Distruggete base Luna! (1971) 41 | 28: Far Out Man (1990) 42 | 29: Love Is Blind (2013) 43 | 30: High Risk (1981) 44 | 31: "Mahabharata 45 | 32: Night of the Day of the Dawn of the Son of the Bride of the Return of the Terror (1991) 46 | 33: Daisy Town (1971) 47 | 34: Alien Tornado (2012) 48 | 35: Rio Diablo (1993) 49 | 36: Tiger Orange (2014) 50 | 37: Susie Q (1996) 51 | 38: More Brains! A Return to the Living Dead (2011) 52 | 39: 1 (2014) 53 | 40: Richard Jeni: A Big Steaming Pile of Me (2005) 54 | 41: Last Day of Summer (2009) 55 | 42: Beltracchi - The Art of the Forgery (2014) 56 | 43: Lost in a Harem (1944) 57 | 44: Swept Under (2015) 58 | 45: The Ties That Bind (2015) 59 | 46: "Passion of Ayn Rand 60 | 47: PSYCHO-PASS: The Movie (2016) 61 | 48: Atharintiki Daaredi (2013) 62 | 49: Garfield's Fun Fest (2008) 63 | 50: Farmageddon (2011) 64 | Benchmark execution time: 719579ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/vm2m/in-memory-analytics-15.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8229942466814923 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8214162608817572 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8179071937759567 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8179945719150317 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 10, and its RMSE on the test set is 0.8176087562660774. 12 | The best model improves the baseline by 23.23%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: The Story of Asya Klyachina (1966) 16 | 3: 1 (2014) 17 | 4: The Great American Girl Robbery (1979) 18 | 5: Love Life (2001) 19 | 6: The Keepers (2017) 20 | 7: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 21 | 8: Tintin and the Lake of Sharks (1972) 22 | 9: The Marquis (2011) 23 | 10: The Immoral Mr. Teas (1959) 24 | 11: "Mahabharata 25 | 12: Heaven Is a Playground (1991) 26 | 13: Jellyfish Eyes (2013) 27 | 14: Special Section (1975) 28 | 15: Estamos Juntos (2011) 29 | 16: The Prodigies (2011) 30 | 17: Emmanuelle 5 (1987) 31 | 18: Sex Is Zero (2002) 32 | 19: Prince of Jutland (a.k.a. Royal Deceit) (1994) 33 | 20: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 34 | 21: Loser Takes All! (Qui perd gagne !) (2003) 35 | 22: It Runs in the Family (My Summer Story) (1994) 36 | 23: Fantastic Lies (2016) 37 | 24: Love Is Blind (2013) 38 | 25: Frankenstein Conquers the World (1965) 39 | 26: Emanuelle in Egypt (Velluto nero) (1976) 40 | 27: PSYCHO-PASS: The Movie (2016) 41 | 28: Jeff Dunham: Arguing with Myself (2006) 42 | 29: Rio Diablo (1993) 43 | 30: Lost in a Harem (1944) 44 | 31: Atharintiki Daaredi (2013) 45 | 32: Far Out Man (1990) 46 | 33: Daisy Town (1971) 47 | 34: High Risk (1981) 48 | 35: UFO - Distruggete base Luna! (1971) 49 | 36: Mixed Kebab (2012) 50 | 37: Trudell (2005) 51 | 38: Punk Vacation (1987) 52 | 39: More Brains! A Return to the Living Dead (2011) 53 | 40: "Frozen North 54 | 41: Lemonade Mouth (2011) 55 | 42: The Boss's Daughter (2016) 56 | 43: Just Write (1997) 57 | 44: The Kids Are Alright (1979) 58 | 45: The Spacewalker (2017) 59 | 46: Alien Tornado (2012) 60 | 47: Here Without Me (Inja bedoone man) (2011) 61 | 48: Garage Olimpo (1999) 62 | 49: Lavalantula (2015) 63 | 50: Farmageddon (2011) 64 | Benchmark execution time: 768526ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/vm2m/in-memory-analytics-16.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8240607276828389 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8211664176214519 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8240152602254438 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8170045463904531 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8167725414700978. 12 | The best model improves the baseline by 23.31%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: The Story of Asya Klyachina (1966) 17 | 4: The Great American Girl Robbery (1979) 18 | 5: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 19 | 6: The Marquis (2011) 20 | 7: Atharintiki Daaredi (2013) 21 | 8: Tintin and the Lake of Sharks (1972) 22 | 9: The Immoral Mr. Teas (1959) 23 | 10: Monster High: Fright On! (2011) 24 | 11: Love Life (2001) 25 | 12: Alien Tornado (2012) 26 | 13: The Keepers (2017) 27 | 14: Sex Is Zero (2002) 28 | 15: Lavalantula (2015) 29 | 16: UFO - Distruggete base Luna! (1971) 30 | 17: Heaven Is a Playground (1991) 31 | 18: Frankenstein Conquers the World (1965) 32 | 19: Rio Diablo (1993) 33 | 20: 1 (2014) 34 | 21: Patient Zero (2017) 35 | 22: Estamos Juntos (2011) 36 | 23: Mamitas (2011) 37 | 24: Jellyfish Eyes (2013) 38 | 25: More Brains! A Return to the Living Dead (2011) 39 | 26: PSYCHO-PASS: The Movie (2016) 40 | 27: Night of the Day of the Dawn of the Son of the Bride of the Return of the Terror (1991) 41 | 28: Here Without Me (Inja bedoone man) (2011) 42 | 29: Far Out Man (1990) 43 | 30: Mixed Kebab (2012) 44 | 31: "Mahabharata 45 | 32: The Prodigies (2011) 46 | 33: Kokoko (2012) 47 | 34: Susie Q (1996) 48 | 35: Duplicate (1998) 49 | 36: Zakochani (2000) 50 | 37: Emmanuelle 5 (1987) 51 | 38: Last Day of Summer (2009) 52 | 39: "2013 Rock and Roll Hall of Fame Induction Ceremony 53 | 40: The Russian Novel (2013) 54 | 41: Tr?mulo (2015) 55 | 42: Lemonade Mouth (2011) 56 | 43: The Boss's Daughter (2016) 57 | 44: Love Is Blind (2013) 58 | 45: Ali Baba Bunny (1957) 59 | 46: Hatchet III (2013) 60 | 47: Desierto (2016) 61 | 48: Losing the North (2015) 62 | 49: A Year in Burgundy (2013) 63 | 50: Seven Dwarfs (2004) 64 | Benchmark execution time: 724917ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/vm2m/in-memory-analytics-17.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8246867885453676 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.820291052568241 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8173779340738091 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8169736948710136 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.816681519078946. 12 | The best model improves the baseline by 23.32%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 16 | 3: 1 (2014) 17 | 4: Atharintiki Daaredi (2013) 18 | 5: The Keepers (2017) 19 | 6: The Great American Girl Robbery (1979) 20 | 7: The Story of Asya Klyachina (1966) 21 | 8: Love Life (2001) 22 | 9: Frankenstein Conquers the World (1965) 23 | 10: The Marquis (2011) 24 | 11: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 25 | 12: Tintin and the Lake of Sharks (1972) 26 | 13: Sex Is Zero (2002) 27 | 14: Heaven Is a Playground (1991) 28 | 15: The Immoral Mr. Teas (1959) 29 | 16: Love Is Blind (2013) 30 | 17: Estamos Juntos (2011) 31 | 18: Lemonade Mouth (2011) 32 | 19: "Mahabharata 33 | 20: The Prodigies (2011) 34 | 21: Punk Vacation (1987) 35 | 22: PSYCHO-PASS: The Movie (2016) 36 | 23: Shock Head Soul (2011) 37 | 24: More Brains! A Return to the Living Dead (2011) 38 | 25: Losing the North (2015) 39 | 26: Far Out Man (1990) 40 | 27: UFO - Distruggete base Luna! (1971) 41 | 28: A Year in Burgundy (2013) 42 | 29: Monster High: Fright On! (2011) 43 | 30: Rio Diablo (1993) 44 | 31: Daisy Town (1971) 45 | 32: Emmanuelle 5 (1987) 46 | 33: Alien Tornado (2012) 47 | 34: Patient Zero (2017) 48 | 35: Just Write (1997) 49 | 36: Jellyfish Eyes (2013) 50 | 37: Lost in a Harem (1944) 51 | 38: Fantastic Lies (2016) 52 | 39: Tr?mulo (2015) 53 | 40: Mixed Kebab (2012) 54 | 41: Kokoko (2012) 55 | 42: Heroes Shed No Tears (1986) 56 | 43: Vampyres (1974) 57 | 44: The Boss's Daughter (2016) 58 | 45: Jeff Dunham: Arguing with Myself (2006) 59 | 46: Lavalantula (2015) 60 | 47: Garage Olimpo (1999) 61 | 48: Duplicate (1998) 62 | 49: "Tripper 63 | 50: "Frozen North 64 | Benchmark execution time: 786800ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/vm2m/in-memory-analytics-18.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8197225226499444 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8212725836840081 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8187780881244389 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.816963053230818 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8166668892687463. 12 | The best model improves the baseline by 23.32%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: 1 (2014) 16 | 3: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 17 | 4: The Keepers (2017) 18 | 5: Atharintiki Daaredi (2013) 19 | 6: Love Life (2001) 20 | 7: The Great American Girl Robbery (1979) 21 | 8: Sex Is Zero (2002) 22 | 9: The Marquis (2011) 23 | 10: Fantastic Lies (2016) 24 | 11: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 25 | 12: Frankenstein Conquers the World (1965) 26 | 13: Tintin and the Lake of Sharks (1972) 27 | 14: Heaven Is a Playground (1991) 28 | 15: Scavenger Hunt (1979) 29 | 16: The Immoral Mr. Teas (1959) 30 | 17: Mixed Kebab (2012) 31 | 18: "Mahabharata 32 | 19: Estamos Juntos (2011) 33 | 20: More Brains! A Return to the Living Dead (2011) 34 | 21: The Prodigies (2011) 35 | 22: Love Is Blind (2013) 36 | 23: Just Write (1997) 37 | 24: Patient Zero (2017) 38 | 25: Desierto (2016) 39 | 26: PSYCHO-PASS: The Movie (2016) 40 | 27: Lemonade Mouth (2011) 41 | 28: UFO - Distruggete base Luna! (1971) 42 | 29: "2013 Rock and Roll Hall of Fame Induction Ceremony 43 | 30: Far Out Man (1990) 44 | 31: Lost in a Harem (1944) 45 | 32: Tr?mulo (2015) 46 | 33: Loser Takes All! (Qui perd gagne !) (2003) 47 | 34: Daisy Town (1971) 48 | 35: Bugcrush (2006) 49 | 36: Rio Diablo (1993) 50 | 37: Salam Neighbor (2015) 51 | 38: Losing the North (2015) 52 | 39: "Tripper 53 | 40: Punk Vacation (1987) 54 | 41: The War at Home (1979) 55 | 42: The Story of Asya Klyachina (1966) 56 | 43: Monster High: Fright On! (2011) 57 | 44: Mamitas (2011) 58 | 45: Duplicate (1998) 59 | 46: Lagerfeld Confidential (2007) 60 | 47: Farmageddon (2011) 61 | 48: Ali Baba Bunny (1957) 62 | 49: Spoiler (1998) 63 | 50: The Unauthorized Saved by the Bell Story (2014) 64 | Benchmark execution time: 690503ms 65 | -------------------------------------------------------------------------------- /x86-exp/data/in-memory-analytics/vm2m/in-memory-analytics-20.log: -------------------------------------------------------------------------------- 1 | Got 26024289 ratings from 270896 users on 45115 movies. 2 | Training: 15620330, validation: 5201747, test: 5202223 3 | RMSE (validation) = 0.8218646929440648 for the model trained with rank = 8, lambda = 0.1, and numIter = 10. 4 | RMSE (validation) = 0.8218597788823057 for the model trained with rank = 8, lambda = 0.1, and numIter = 20. 5 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 10. 6 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 8, lambda = 10.0, and numIter = 20. 7 | RMSE (validation) = 0.8219253859685786 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. 8 | RMSE (validation) = 0.8169197812044144 for the model trained with rank = 12, lambda = 0.1, and numIter = 20. 9 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 10. 10 | RMSE (validation) = 3.680341128910692 for the model trained with rank = 12, lambda = 10.0, and numIter = 20. 11 | The best model was trained with rank = 12 and lambda = 0.1, and numIter = 20, and its RMSE on the test set is 0.8166450856087171. 12 | The best model improves the baseline by 23.32%. 13 | Movies recommended for you: 14 | 1: Hamoun (1990) 15 | 2: The Story of Asya Klyachina (1966) 16 | 3: Pearl Jam: Immagine in Cornice - Live in Italy 2006 (2007) 17 | 4: The Immoral Mr. Teas (1959) 18 | 5: Atharintiki Daaredi (2013) 19 | 6: Tintin and the Lake of Sharks (1972) 20 | 7: Female Vampire (Les avaleuses) (Erotic Kill) (1973) 21 | 8: The Marquis (2011) 22 | 9: The Prodigies (2011) 23 | 10: Jellyfish Eyes (2013) 24 | 11: Love Life (2001) 25 | 12: Frankenstein Conquers the World (1965) 26 | 13: Duplicate (1998) 27 | 14: Estamos Juntos (2011) 28 | 15: Heaven Is a Playground (1991) 29 | 16: Emmanuelle 5 (1987) 30 | 17: Sex Is Zero (2002) 31 | 18: UFO - Distruggete base Luna! (1971) 32 | 19: The Great American Girl Robbery (1979) 33 | 20: Special Section (1975) 34 | 21: Heroes Shed No Tears (1986) 35 | 22: Vampyres (1974) 36 | 23: PSYCHO-PASS: The Movie (2016) 37 | 24: Far Out Man (1990) 38 | 25: Alien Tornado (2012) 39 | 26: Last Day of Summer (2009) 40 | 27: "Tramp 41 | 28: The Keepers (2017) 42 | 29: Daisy Town (1971) 43 | 30: Lavalantula (2015) 44 | 31: Emanuelle in Egypt (Velluto nero) (1976) 45 | 32: Prince of Jutland (a.k.a. Royal Deceit) (1994) 46 | 33: Rasputin (1996) 47 | 34: Losing the North (2015) 48 | 35: More Brains! A Return to the Living Dead (2011) 49 | 36: Rio Diablo (1993) 50 | 37: The Ties That Bind (2015) 51 | 38: High Risk (1981) 52 | 39: Monster High: Fright On! (2011) 53 | 40: The War at Home (1979) 54 | 41: Richard Jeni: A Big Steaming Pile of Me (2005) 55 | 42: 1 (2014) 56 | 43: "Mahabharata 57 | 44: Zakochani (2000) 58 | 45: Susie Q (1996) 59 | 46: Varalaru (2006) 60 | 47: Garage Olimpo (1999) 61 | 48: Love Is Blind (2013) 62 | 49: The Boss's Daughter (2016) 63 | 50: "Stolen Collection 64 | Benchmark execution time: 661065ms 65 | --------------------------------------------------------------------------------