├── ISLRimage.jpg
├── README.md
├── data
├── Advertising.csv
├── Auto.csv
├── Boston.csv
├── Caravan.csv
├── Carseats.csv
├── Ch10Ex11.csv
├── College.csv
├── Credit.csv
├── Default.csv
├── Heart.csv
├── Hitters.csv
├── Income1.csv
├── Income2.csv
├── OJ.csv
├── Portfolio.csv
├── Smarket.csv
├── Wage.csv
└── Weekly.csv
└── notebooks
├── Ch2_Statistical_Learning
├── Applied
│ ├── Ex10.ipynb
│ ├── Ex8.ipynb
│ └── Ex9.ipynb
└── no_lab.txt
├── Ch3_Linear_Regression
├── Applied
│ ├── Ch3_Ex10.ipynb
│ ├── Ch3_Ex13.ipynb
│ ├── Ch3_Ex14.ipynb
│ ├── Ch3_Ex15.ipynb
│ ├── Ch3_Ex8.ipynb
│ ├── Ch3_Ex9.ipynb
│ └── Ch3_Ex_11_12.ipynb
└── Lab_Linear_Regression.ipynb
├── Ch4_Classification
├── Applied
│ ├── Ch4_Ex10.ipynb
│ ├── Ch4_Ex11.ipynb
│ ├── Ch4_Ex12.ipynb
│ └── Ch4_Ex13.ipynb
└── Ch4_Lab_Classification.ipynb
├── Ch5_Resampling_Methods
├── Applied
│ ├── Ch5_Ex5.ipynb
│ ├── Ch5_Ex6.ipynb
│ ├── Ch5_Ex7.ipynb
│ ├── Ch5_Ex8.ipynb
│ └── Ch5_Ex9.ipynb
└── Ch5_Lab_Resampling.ipynb
├── Ch6_Linear_Model_Selection_Regularization
├── Applied
│ ├── Ch6_Ex10.ipynb
│ ├── Ch6_Ex11.ipynb
│ ├── Ch6_Ex8.ipynb
│ └── Ch6_Ex9.ipynb
├── Ch6_Lab_PCR_and_PLS.ipynb
├── Ch6_Lab_Ridge_and_Lasso_Regression.ipynb
└── Ch6_Lab_Subset_Selection.ipynb
├── Ch7_Moving_Beyond_Linearity
├── Applied
│ ├── Ch7_Applied_1.ipynb
│ ├── Ch7_Applied_2.ipynb
│ ├── Ch7_Applied_3.ipynb
│ ├── Ch7_Applied_4.ipynb
│ ├── Ch7_Applied_5.ipynb
│ ├── Ch7_Applied_6.ipynb
│ └── Ch7_Applied_7.ipynb
└── Ch7_Lab.ipynb
└── Ch8_Tree_Methods
├── Applied
├── Ch8_Applied_10.ipynb
├── Ch8_Applied_11.ipynb
├── Ch8_Applied_12.ipynb
├── Ch8_Applied_7.ipynb
├── Ch8_Applied_8.ipynb
├── Ch8_Applied_9.ipynb
└── seat_tree.dot
├── Ch8_Lab1.ipynb
├── Ch8_Lab2.ipynb
├── Ch8_Lab3.ipynb
├── Ch8_Lab4.ipynb
└── boston_tree.dot
/ISLRimage.jpg:
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https://raw.githubusercontent.com/mscaudill/IntroStatLearn/b263181afb98d88610d617b4eeb4142a88409a42/ISLRimage.jpg
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/README.md:
--------------------------------------------------------------------------------
1 | # ISLR -- Python: Labs and Applied
2 |
3 | 
4 |
5 | Python code for Labs and Applied questions from the book: ['Introduction to
6 | Statistical Learning with Applications in
7 | R'](http://www-bcf.usc.edu/~gareth/ISL/) by James, Witten, Hastie and
8 | Tibshirani (2013).
9 | ___
10 |
11 | This well-written book provides an excellent introduction to statistical learning methods. The algorithms and datasets used in the book are written in R. Since I use python for data analysis, I decided to rewrite the labs and
12 | answer the applied questions using python and the following packages:
13 |
14 | [Numpy](http://www.numpy.org/)
15 | [Scipy](https://www.scipy.org/)
16 | [Pandas](http://pandas.pydata.org/)
17 | [Scikit-learn](http://scikit-learn.org/stable/)
18 | [Statsmodels](http://statsmodels.sourceforge.net/)
19 | [Patsy](https://patsy.readthedocs.io/en/latest/)
20 | [Matplotlib](http://matplotlib.org/)
21 |
22 | I have also converted the R datasets into csv files. These can be found in
23 | the data directory.
24 |
25 | The code for each lab or applied question is written in a Jupyter notebook.
26 | For the applied questions, there is **no guarantee** that the solutions are
27 | correct. Suggestions and corrections are always welcome.
28 |
29 | ## Chapters
30 | - [Chapter 2: Statistical Learning](notebooks/Ch2_Statistical_Learning)
31 | - [Chapter 3: Linear Regression](notebooks/Ch3_Linear_Regression)
32 | - [Chapter 4: Classification](notebooks/Ch4_Classification)
33 | - [Chapter 5: Resampling Methods](notebooks/Ch5_Resampling_Methods)
34 | - [Chapter 6: Linear Model Selection &
35 | Regularization](notebooks/Ch6_Linear_Model_Selection_Regularization)
36 | - [Chapter 7: Moving Beyond Linearity
37 | ](notebooks/Ch7_Moving_Beyond_Linearity)
38 | - [Chapter 8: Tree-Based Methods](/notebooks/Ch8_Tree_Methods)
39 | - [Chapter 9: ]()
40 | - [Chapter 10:]()
41 |
42 |
--------------------------------------------------------------------------------
/data/Advertising.csv:
--------------------------------------------------------------------------------
1 | "","TV","Radio","Newspaper","Sales"
2 | "1",230.1,37.8,69.2,22.1
3 | "2",44.5,39.3,45.1,10.4
4 | "3",17.2,45.9,69.3,9.3
5 | "4",151.5,41.3,58.5,18.5
6 | "5",180.8,10.8,58.4,12.9
7 | "6",8.7,48.9,75,7.2
8 | "7",57.5,32.8,23.5,11.8
9 | "8",120.2,19.6,11.6,13.2
10 | "9",8.6,2.1,1,4.8
11 | "10",199.8,2.6,21.2,10.6
12 | "11",66.1,5.8,24.2,8.6
13 | "12",214.7,24,4,17.4
14 | "13",23.8,35.1,65.9,9.2
15 | "14",97.5,7.6,7.2,9.7
16 | "15",204.1,32.9,46,19
17 | "16",195.4,47.7,52.9,22.4
18 | "17",67.8,36.6,114,12.5
19 | "18",281.4,39.6,55.8,24.4
20 | "19",69.2,20.5,18.3,11.3
21 | "20",147.3,23.9,19.1,14.6
22 | "21",218.4,27.7,53.4,18
23 | "22",237.4,5.1,23.5,12.5
24 | "23",13.2,15.9,49.6,5.6
25 | "24",228.3,16.9,26.2,15.5
26 | "25",62.3,12.6,18.3,9.7
27 | "26",262.9,3.5,19.5,12
28 | "27",142.9,29.3,12.6,15
29 | "28",240.1,16.7,22.9,15.9
30 | "29",248.8,27.1,22.9,18.9
31 | "30",70.6,16,40.8,10.5
32 | "31",292.9,28.3,43.2,21.4
33 | "32",112.9,17.4,38.6,11.9
34 | "33",97.2,1.5,30,9.6
35 | "34",265.6,20,0.3,17.4
36 | "35",95.7,1.4,7.4,9.5
37 | "36",290.7,4.1,8.5,12.8
38 | "37",266.9,43.8,5,25.4
39 | "38",74.7,49.4,45.7,14.7
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41 | "40",228,37.7,32,21.5
42 | "41",202.5,22.3,31.6,16.6
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52 | "51",199.8,3.1,34.6,11.4
53 | "52",100.4,9.6,3.6,10.7
54 | "53",216.4,41.7,39.6,22.6
55 | "54",182.6,46.2,58.7,21.2
56 | "55",262.7,28.8,15.9,20.2
57 | "56",198.9,49.4,60,23.7
58 | "57",7.3,28.1,41.4,5.5
59 | "58",136.2,19.2,16.6,13.2
60 | "59",210.8,49.6,37.7,23.8
61 | "60",210.7,29.5,9.3,18.4
62 | "61",53.5,2,21.4,8.1
63 | "62",261.3,42.7,54.7,24.2
64 | "63",239.3,15.5,27.3,15.7
65 | "64",102.7,29.6,8.4,14
66 | "65",131.1,42.8,28.9,18
67 | "66",69,9.3,0.9,9.3
68 | "67",31.5,24.6,2.2,9.5
69 | "68",139.3,14.5,10.2,13.4
70 | "69",237.4,27.5,11,18.9
71 | "70",216.8,43.9,27.2,22.3
72 | "71",199.1,30.6,38.7,18.3
73 | "72",109.8,14.3,31.7,12.4
74 | "73",26.8,33,19.3,8.8
75 | "74",129.4,5.7,31.3,11
76 | "75",213.4,24.6,13.1,17
77 | "76",16.9,43.7,89.4,8.7
78 | "77",27.5,1.6,20.7,6.9
79 | "78",120.5,28.5,14.2,14.2
80 | "79",5.4,29.9,9.4,5.3
81 | "80",116,7.7,23.1,11
82 | "81",76.4,26.7,22.3,11.8
83 | "82",239.8,4.1,36.9,12.3
84 | "83",75.3,20.3,32.5,11.3
85 | "84",68.4,44.5,35.6,13.6
86 | "85",213.5,43,33.8,21.7
87 | "86",193.2,18.4,65.7,15.2
88 | "87",76.3,27.5,16,12
89 | "88",110.7,40.6,63.2,16
90 | "89",88.3,25.5,73.4,12.9
91 | "90",109.8,47.8,51.4,16.7
92 | "91",134.3,4.9,9.3,11.2
93 | "92",28.6,1.5,33,7.3
94 | "93",217.7,33.5,59,19.4
95 | "94",250.9,36.5,72.3,22.2
96 | "95",107.4,14,10.9,11.5
97 | "96",163.3,31.6,52.9,16.9
98 | "97",197.6,3.5,5.9,11.7
99 | "98",184.9,21,22,15.5
100 | "99",289.7,42.3,51.2,25.4
101 | "100",135.2,41.7,45.9,17.2
102 | "101",222.4,4.3,49.8,11.7
103 | "102",296.4,36.3,100.9,23.8
104 | "103",280.2,10.1,21.4,14.8
105 | "104",187.9,17.2,17.9,14.7
106 | "105",238.2,34.3,5.3,20.7
107 | "106",137.9,46.4,59,19.2
108 | "107",25,11,29.7,7.2
109 | "108",90.4,0.3,23.2,8.7
110 | "109",13.1,0.4,25.6,5.3
111 | "110",255.4,26.9,5.5,19.8
112 | "111",225.8,8.2,56.5,13.4
113 | "112",241.7,38,23.2,21.8
114 | "113",175.7,15.4,2.4,14.1
115 | "114",209.6,20.6,10.7,15.9
116 | "115",78.2,46.8,34.5,14.6
117 | "116",75.1,35,52.7,12.6
118 | "117",139.2,14.3,25.6,12.2
119 | "118",76.4,0.8,14.8,9.4
120 | "119",125.7,36.9,79.2,15.9
121 | "120",19.4,16,22.3,6.6
122 | "121",141.3,26.8,46.2,15.5
123 | "122",18.8,21.7,50.4,7
124 | "123",224,2.4,15.6,11.6
125 | "124",123.1,34.6,12.4,15.2
126 | "125",229.5,32.3,74.2,19.7
127 | "126",87.2,11.8,25.9,10.6
128 | "127",7.8,38.9,50.6,6.6
129 | "128",80.2,0,9.2,8.8
130 | "129",220.3,49,3.2,24.7
131 | "130",59.6,12,43.1,9.7
132 | "131",0.7,39.6,8.7,1.6
133 | "132",265.2,2.9,43,12.7
134 | "133",8.4,27.2,2.1,5.7
135 | "134",219.8,33.5,45.1,19.6
136 | "135",36.9,38.6,65.6,10.8
137 | "136",48.3,47,8.5,11.6
138 | "137",25.6,39,9.3,9.5
139 | "138",273.7,28.9,59.7,20.8
140 | "139",43,25.9,20.5,9.6
141 | "140",184.9,43.9,1.7,20.7
142 | "141",73.4,17,12.9,10.9
143 | "142",193.7,35.4,75.6,19.2
144 | "143",220.5,33.2,37.9,20.1
145 | "144",104.6,5.7,34.4,10.4
146 | "145",96.2,14.8,38.9,11.4
147 | "146",140.3,1.9,9,10.3
148 | "147",240.1,7.3,8.7,13.2
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202 |
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/data/Auto.csv:
--------------------------------------------------------------------------------
1 | mpg,cylinders,displacement,horsepower,weight,acceleration,year,origin,name
2 | 18,8,307,130,3504,12,70,1,chevrolet chevelle malibu
3 | 15,8,350,165,3693,11.5,70,1,buick skylark 320
4 | 18,8,318,150,3436,11,70,1,plymouth satellite
5 | 16,8,304,150,3433,12,70,1,amc rebel sst
6 | 17,8,302,140,3449,10.5,70,1,ford torino
7 | 15,8,429,198,4341,10,70,1,ford galaxie 500
8 | 14,8,454,220,4354,9,70,1,chevrolet impala
9 | 14,8,440,215,4312,8.5,70,1,plymouth fury iii
10 | 14,8,455,225,4425,10,70,1,pontiac catalina
11 | 15,8,390,190,3850,8.5,70,1,amc ambassador dpl
12 | 15,8,383,170,3563,10,70,1,dodge challenger se
13 | 14,8,340,160,3609,8,70,1,plymouth 'cuda 340
14 | 15,8,400,150,3761,9.5,70,1,chevrolet monte carlo
15 | 14,8,455,225,3086,10,70,1,buick estate wagon (sw)
16 | 24,4,113,95,2372,15,70,3,toyota corona mark ii
17 | 22,6,198,95,2833,15.5,70,1,plymouth duster
18 | 18,6,199,97,2774,15.5,70,1,amc hornet
19 | 21,6,200,85,2587,16,70,1,ford maverick
20 | 27,4,97,88,2130,14.5,70,3,datsun pl510
21 | 26,4,97,46,1835,20.5,70,2,volkswagen 1131 deluxe sedan
22 | 25,4,110,87,2672,17.5,70,2,peugeot 504
23 | 24,4,107,90,2430,14.5,70,2,audi 100 ls
24 | 25,4,104,95,2375,17.5,70,2,saab 99e
25 | 26,4,121,113,2234,12.5,70,2,bmw 2002
26 | 21,6,199,90,2648,15,70,1,amc gremlin
27 | 10,8,360,215,4615,14,70,1,ford f250
28 | 10,8,307,200,4376,15,70,1,chevy c20
29 | 11,8,318,210,4382,13.5,70,1,dodge d200
30 | 9,8,304,193,4732,18.5,70,1,hi 1200d
31 | 27,4,97,88,2130,14.5,71,3,datsun pl510
32 | 28,4,140,90,2264,15.5,71,1,chevrolet vega 2300
33 | 25,4,113,95,2228,14,71,3,toyota corona
34 | 25,4,98,?,2046,19,71,1,ford pinto
35 | 19,6,232,100,2634,13,71,1,amc gremlin
36 | 16,6,225,105,3439,15.5,71,1,plymouth satellite custom
37 | 17,6,250,100,3329,15.5,71,1,chevrolet chevelle malibu
38 | 19,6,250,88,3302,15.5,71,1,ford torino 500
39 | 18,6,232,100,3288,15.5,71,1,amc matador
40 | 14,8,350,165,4209,12,71,1,chevrolet impala
41 | 14,8,400,175,4464,11.5,71,1,pontiac catalina brougham
42 | 14,8,351,153,4154,13.5,71,1,ford galaxie 500
43 | 14,8,318,150,4096,13,71,1,plymouth fury iii
44 | 12,8,383,180,4955,11.5,71,1,dodge monaco (sw)
45 | 13,8,400,170,4746,12,71,1,ford country squire (sw)
46 | 13,8,400,175,5140,12,71,1,pontiac safari (sw)
47 | 18,6,258,110,2962,13.5,71,1,amc hornet sportabout (sw)
48 | 22,4,140,72,2408,19,71,1,chevrolet vega (sw)
49 | 19,6,250,100,3282,15,71,1,pontiac firebird
50 | 18,6,250,88,3139,14.5,71,1,ford mustang
51 | 23,4,122,86,2220,14,71,1,mercury capri 2000
52 | 28,4,116,90,2123,14,71,2,opel 1900
53 | 30,4,79,70,2074,19.5,71,2,peugeot 304
54 | 30,4,88,76,2065,14.5,71,2,fiat 124b
55 | 31,4,71,65,1773,19,71,3,toyota corolla 1200
56 | 35,4,72,69,1613,18,71,3,datsun 1200
57 | 27,4,97,60,1834,19,71,2,volkswagen model 111
58 | 26,4,91,70,1955,20.5,71,1,plymouth cricket
59 | 24,4,113,95,2278,15.5,72,3,toyota corona hardtop
60 | 25,4,97.5,80,2126,17,72,1,dodge colt hardtop
61 | 23,4,97,54,2254,23.5,72,2,volkswagen type 3
62 | 20,4,140,90,2408,19.5,72,1,chevrolet vega
63 | 21,4,122,86,2226,16.5,72,1,ford pinto runabout
64 | 13,8,350,165,4274,12,72,1,chevrolet impala
65 | 14,8,400,175,4385,12,72,1,pontiac catalina
66 | 15,8,318,150,4135,13.5,72,1,plymouth fury iii
67 | 14,8,351,153,4129,13,72,1,ford galaxie 500
68 | 17,8,304,150,3672,11.5,72,1,amc ambassador sst
69 | 11,8,429,208,4633,11,72,1,mercury marquis
70 | 13,8,350,155,4502,13.5,72,1,buick lesabre custom
71 | 12,8,350,160,4456,13.5,72,1,oldsmobile delta 88 royale
72 | 13,8,400,190,4422,12.5,72,1,chrysler newport royal
73 | 19,3,70,97,2330,13.5,72,3,mazda rx2 coupe
74 | 15,8,304,150,3892,12.5,72,1,amc matador (sw)
75 | 13,8,307,130,4098,14,72,1,chevrolet chevelle concours (sw)
76 | 13,8,302,140,4294,16,72,1,ford gran torino (sw)
77 | 14,8,318,150,4077,14,72,1,plymouth satellite custom (sw)
78 | 18,4,121,112,2933,14.5,72,2,volvo 145e (sw)
79 | 22,4,121,76,2511,18,72,2,volkswagen 411 (sw)
80 | 21,4,120,87,2979,19.5,72,2,peugeot 504 (sw)
81 | 26,4,96,69,2189,18,72,2,renault 12 (sw)
82 | 22,4,122,86,2395,16,72,1,ford pinto (sw)
83 | 28,4,97,92,2288,17,72,3,datsun 510 (sw)
84 | 23,4,120,97,2506,14.5,72,3,toyouta corona mark ii (sw)
85 | 28,4,98,80,2164,15,72,1,dodge colt (sw)
86 | 27,4,97,88,2100,16.5,72,3,toyota corolla 1600 (sw)
87 | 13,8,350,175,4100,13,73,1,buick century 350
88 | 14,8,304,150,3672,11.5,73,1,amc matador
89 | 13,8,350,145,3988,13,73,1,chevrolet malibu
90 | 14,8,302,137,4042,14.5,73,1,ford gran torino
91 | 15,8,318,150,3777,12.5,73,1,dodge coronet custom
92 | 12,8,429,198,4952,11.5,73,1,mercury marquis brougham
93 | 13,8,400,150,4464,12,73,1,chevrolet caprice classic
94 | 13,8,351,158,4363,13,73,1,ford ltd
95 | 14,8,318,150,4237,14.5,73,1,plymouth fury gran sedan
96 | 13,8,440,215,4735,11,73,1,chrysler new yorker brougham
97 | 12,8,455,225,4951,11,73,1,buick electra 225 custom
98 | 13,8,360,175,3821,11,73,1,amc ambassador brougham
99 | 18,6,225,105,3121,16.5,73,1,plymouth valiant
100 | 16,6,250,100,3278,18,73,1,chevrolet nova custom
101 | 18,6,232,100,2945,16,73,1,amc hornet
102 | 18,6,250,88,3021,16.5,73,1,ford maverick
103 | 23,6,198,95,2904,16,73,1,plymouth duster
104 | 26,4,97,46,1950,21,73,2,volkswagen super beetle
105 | 11,8,400,150,4997,14,73,1,chevrolet impala
106 | 12,8,400,167,4906,12.5,73,1,ford country
107 | 13,8,360,170,4654,13,73,1,plymouth custom suburb
108 | 12,8,350,180,4499,12.5,73,1,oldsmobile vista cruiser
109 | 18,6,232,100,2789,15,73,1,amc gremlin
110 | 20,4,97,88,2279,19,73,3,toyota carina
111 | 21,4,140,72,2401,19.5,73,1,chevrolet vega
112 | 22,4,108,94,2379,16.5,73,3,datsun 610
113 | 18,3,70,90,2124,13.5,73,3,maxda rx3
114 | 19,4,122,85,2310,18.5,73,1,ford pinto
115 | 21,6,155,107,2472,14,73,1,mercury capri v6
116 | 26,4,98,90,2265,15.5,73,2,fiat 124 sport coupe
117 | 15,8,350,145,4082,13,73,1,chevrolet monte carlo s
118 | 16,8,400,230,4278,9.5,73,1,pontiac grand prix
119 | 29,4,68,49,1867,19.5,73,2,fiat 128
120 | 24,4,116,75,2158,15.5,73,2,opel manta
121 | 20,4,114,91,2582,14,73,2,audi 100ls
122 | 19,4,121,112,2868,15.5,73,2,volvo 144ea
123 | 15,8,318,150,3399,11,73,1,dodge dart custom
124 | 24,4,121,110,2660,14,73,2,saab 99le
125 | 20,6,156,122,2807,13.5,73,3,toyota mark ii
126 | 11,8,350,180,3664,11,73,1,oldsmobile omega
127 | 20,6,198,95,3102,16.5,74,1,plymouth duster
128 | 21,6,200,?,2875,17,74,1,ford maverick
129 | 19,6,232,100,2901,16,74,1,amc hornet
130 | 15,6,250,100,3336,17,74,1,chevrolet nova
131 | 31,4,79,67,1950,19,74,3,datsun b210
132 | 26,4,122,80,2451,16.5,74,1,ford pinto
133 | 32,4,71,65,1836,21,74,3,toyota corolla 1200
134 | 25,4,140,75,2542,17,74,1,chevrolet vega
135 | 16,6,250,100,3781,17,74,1,chevrolet chevelle malibu classic
136 | 16,6,258,110,3632,18,74,1,amc matador
137 | 18,6,225,105,3613,16.5,74,1,plymouth satellite sebring
138 | 16,8,302,140,4141,14,74,1,ford gran torino
139 | 13,8,350,150,4699,14.5,74,1,buick century luxus (sw)
140 | 14,8,318,150,4457,13.5,74,1,dodge coronet custom (sw)
141 | 14,8,302,140,4638,16,74,1,ford gran torino (sw)
142 | 14,8,304,150,4257,15.5,74,1,amc matador (sw)
143 | 29,4,98,83,2219,16.5,74,2,audi fox
144 | 26,4,79,67,1963,15.5,74,2,volkswagen dasher
145 | 26,4,97,78,2300,14.5,74,2,opel manta
146 | 31,4,76,52,1649,16.5,74,3,toyota corona
147 | 32,4,83,61,2003,19,74,3,datsun 710
148 | 28,4,90,75,2125,14.5,74,1,dodge colt
149 | 24,4,90,75,2108,15.5,74,2,fiat 128
150 | 26,4,116,75,2246,14,74,2,fiat 124 tc
151 | 24,4,120,97,2489,15,74,3,honda civic
152 | 26,4,108,93,2391,15.5,74,3,subaru
153 | 31,4,79,67,2000,16,74,2,fiat x1.9
154 | 19,6,225,95,3264,16,75,1,plymouth valiant custom
155 | 18,6,250,105,3459,16,75,1,chevrolet nova
156 | 15,6,250,72,3432,21,75,1,mercury monarch
157 | 15,6,250,72,3158,19.5,75,1,ford maverick
158 | 16,8,400,170,4668,11.5,75,1,pontiac catalina
159 | 15,8,350,145,4440,14,75,1,chevrolet bel air
160 | 16,8,318,150,4498,14.5,75,1,plymouth grand fury
161 | 14,8,351,148,4657,13.5,75,1,ford ltd
162 | 17,6,231,110,3907,21,75,1,buick century
163 | 16,6,250,105,3897,18.5,75,1,chevroelt chevelle malibu
164 | 15,6,258,110,3730,19,75,1,amc matador
165 | 18,6,225,95,3785,19,75,1,plymouth fury
166 | 21,6,231,110,3039,15,75,1,buick skyhawk
167 | 20,8,262,110,3221,13.5,75,1,chevrolet monza 2+2
168 | 13,8,302,129,3169,12,75,1,ford mustang ii
169 | 29,4,97,75,2171,16,75,3,toyota corolla
170 | 23,4,140,83,2639,17,75,1,ford pinto
171 | 20,6,232,100,2914,16,75,1,amc gremlin
172 | 23,4,140,78,2592,18.5,75,1,pontiac astro
173 | 24,4,134,96,2702,13.5,75,3,toyota corona
174 | 25,4,90,71,2223,16.5,75,2,volkswagen dasher
175 | 24,4,119,97,2545,17,75,3,datsun 710
176 | 18,6,171,97,2984,14.5,75,1,ford pinto
177 | 29,4,90,70,1937,14,75,2,volkswagen rabbit
178 | 19,6,232,90,3211,17,75,1,amc pacer
179 | 23,4,115,95,2694,15,75,2,audi 100ls
180 | 23,4,120,88,2957,17,75,2,peugeot 504
181 | 22,4,121,98,2945,14.5,75,2,volvo 244dl
182 | 25,4,121,115,2671,13.5,75,2,saab 99le
183 | 33,4,91,53,1795,17.5,75,3,honda civic cvcc
184 | 28,4,107,86,2464,15.5,76,2,fiat 131
185 | 25,4,116,81,2220,16.9,76,2,opel 1900
186 | 25,4,140,92,2572,14.9,76,1,capri ii
187 | 26,4,98,79,2255,17.7,76,1,dodge colt
188 | 27,4,101,83,2202,15.3,76,2,renault 12tl
189 | 17.5,8,305,140,4215,13,76,1,chevrolet chevelle malibu classic
190 | 16,8,318,150,4190,13,76,1,dodge coronet brougham
191 | 15.5,8,304,120,3962,13.9,76,1,amc matador
192 | 14.5,8,351,152,4215,12.8,76,1,ford gran torino
193 | 22,6,225,100,3233,15.4,76,1,plymouth valiant
194 | 22,6,250,105,3353,14.5,76,1,chevrolet nova
195 | 24,6,200,81,3012,17.6,76,1,ford maverick
196 | 22.5,6,232,90,3085,17.6,76,1,amc hornet
197 | 29,4,85,52,2035,22.2,76,1,chevrolet chevette
198 | 24.5,4,98,60,2164,22.1,76,1,chevrolet woody
199 | 29,4,90,70,1937,14.2,76,2,vw rabbit
200 | 33,4,91,53,1795,17.4,76,3,honda civic
201 | 20,6,225,100,3651,17.7,76,1,dodge aspen se
202 | 18,6,250,78,3574,21,76,1,ford granada ghia
203 | 18.5,6,250,110,3645,16.2,76,1,pontiac ventura sj
204 | 17.5,6,258,95,3193,17.8,76,1,amc pacer d/l
205 | 29.5,4,97,71,1825,12.2,76,2,volkswagen rabbit
206 | 32,4,85,70,1990,17,76,3,datsun b-210
207 | 28,4,97,75,2155,16.4,76,3,toyota corolla
208 | 26.5,4,140,72,2565,13.6,76,1,ford pinto
209 | 20,4,130,102,3150,15.7,76,2,volvo 245
210 | 13,8,318,150,3940,13.2,76,1,plymouth volare premier v8
211 | 19,4,120,88,3270,21.9,76,2,peugeot 504
212 | 19,6,156,108,2930,15.5,76,3,toyota mark ii
213 | 16.5,6,168,120,3820,16.7,76,2,mercedes-benz 280s
214 | 16.5,8,350,180,4380,12.1,76,1,cadillac seville
215 | 13,8,350,145,4055,12,76,1,chevy c10
216 | 13,8,302,130,3870,15,76,1,ford f108
217 | 13,8,318,150,3755,14,76,1,dodge d100
218 | 31.5,4,98,68,2045,18.5,77,3,honda accord cvcc
219 | 30,4,111,80,2155,14.8,77,1,buick opel isuzu deluxe
220 | 36,4,79,58,1825,18.6,77,2,renault 5 gtl
221 | 25.5,4,122,96,2300,15.5,77,1,plymouth arrow gs
222 | 33.5,4,85,70,1945,16.8,77,3,datsun f-10 hatchback
223 | 17.5,8,305,145,3880,12.5,77,1,chevrolet caprice classic
224 | 17,8,260,110,4060,19,77,1,oldsmobile cutlass supreme
225 | 15.5,8,318,145,4140,13.7,77,1,dodge monaco brougham
226 | 15,8,302,130,4295,14.9,77,1,mercury cougar brougham
227 | 17.5,6,250,110,3520,16.4,77,1,chevrolet concours
228 | 20.5,6,231,105,3425,16.9,77,1,buick skylark
229 | 19,6,225,100,3630,17.7,77,1,plymouth volare custom
230 | 18.5,6,250,98,3525,19,77,1,ford granada
231 | 16,8,400,180,4220,11.1,77,1,pontiac grand prix lj
232 | 15.5,8,350,170,4165,11.4,77,1,chevrolet monte carlo landau
233 | 15.5,8,400,190,4325,12.2,77,1,chrysler cordoba
234 | 16,8,351,149,4335,14.5,77,1,ford thunderbird
235 | 29,4,97,78,1940,14.5,77,2,volkswagen rabbit custom
236 | 24.5,4,151,88,2740,16,77,1,pontiac sunbird coupe
237 | 26,4,97,75,2265,18.2,77,3,toyota corolla liftback
238 | 25.5,4,140,89,2755,15.8,77,1,ford mustang ii 2+2
239 | 30.5,4,98,63,2051,17,77,1,chevrolet chevette
240 | 33.5,4,98,83,2075,15.9,77,1,dodge colt m/m
241 | 30,4,97,67,1985,16.4,77,3,subaru dl
242 | 30.5,4,97,78,2190,14.1,77,2,volkswagen dasher
243 | 22,6,146,97,2815,14.5,77,3,datsun 810
244 | 21.5,4,121,110,2600,12.8,77,2,bmw 320i
245 | 21.5,3,80,110,2720,13.5,77,3,mazda rx-4
246 | 43.1,4,90,48,1985,21.5,78,2,volkswagen rabbit custom diesel
247 | 36.1,4,98,66,1800,14.4,78,1,ford fiesta
248 | 32.8,4,78,52,1985,19.4,78,3,mazda glc deluxe
249 | 39.4,4,85,70,2070,18.6,78,3,datsun b210 gx
250 | 36.1,4,91,60,1800,16.4,78,3,honda civic cvcc
251 | 19.9,8,260,110,3365,15.5,78,1,oldsmobile cutlass salon brougham
252 | 19.4,8,318,140,3735,13.2,78,1,dodge diplomat
253 | 20.2,8,302,139,3570,12.8,78,1,mercury monarch ghia
254 | 19.2,6,231,105,3535,19.2,78,1,pontiac phoenix lj
255 | 20.5,6,200,95,3155,18.2,78,1,chevrolet malibu
256 | 20.2,6,200,85,2965,15.8,78,1,ford fairmont (auto)
257 | 25.1,4,140,88,2720,15.4,78,1,ford fairmont (man)
258 | 20.5,6,225,100,3430,17.2,78,1,plymouth volare
259 | 19.4,6,232,90,3210,17.2,78,1,amc concord
260 | 20.6,6,231,105,3380,15.8,78,1,buick century special
261 | 20.8,6,200,85,3070,16.7,78,1,mercury zephyr
262 | 18.6,6,225,110,3620,18.7,78,1,dodge aspen
263 | 18.1,6,258,120,3410,15.1,78,1,amc concord d/l
264 | 19.2,8,305,145,3425,13.2,78,1,chevrolet monte carlo landau
265 | 17.7,6,231,165,3445,13.4,78,1,buick regal sport coupe (turbo)
266 | 18.1,8,302,139,3205,11.2,78,1,ford futura
267 | 17.5,8,318,140,4080,13.7,78,1,dodge magnum xe
268 | 30,4,98,68,2155,16.5,78,1,chevrolet chevette
269 | 27.5,4,134,95,2560,14.2,78,3,toyota corona
270 | 27.2,4,119,97,2300,14.7,78,3,datsun 510
271 | 30.9,4,105,75,2230,14.5,78,1,dodge omni
272 | 21.1,4,134,95,2515,14.8,78,3,toyota celica gt liftback
273 | 23.2,4,156,105,2745,16.7,78,1,plymouth sapporo
274 | 23.8,4,151,85,2855,17.6,78,1,oldsmobile starfire sx
275 | 23.9,4,119,97,2405,14.9,78,3,datsun 200-sx
276 | 20.3,5,131,103,2830,15.9,78,2,audi 5000
277 | 17,6,163,125,3140,13.6,78,2,volvo 264gl
278 | 21.6,4,121,115,2795,15.7,78,2,saab 99gle
279 | 16.2,6,163,133,3410,15.8,78,2,peugeot 604sl
280 | 31.5,4,89,71,1990,14.9,78,2,volkswagen scirocco
281 | 29.5,4,98,68,2135,16.6,78,3,honda accord lx
282 | 21.5,6,231,115,3245,15.4,79,1,pontiac lemans v6
283 | 19.8,6,200,85,2990,18.2,79,1,mercury zephyr 6
284 | 22.3,4,140,88,2890,17.3,79,1,ford fairmont 4
285 | 20.2,6,232,90,3265,18.2,79,1,amc concord dl 6
286 | 20.6,6,225,110,3360,16.6,79,1,dodge aspen 6
287 | 17,8,305,130,3840,15.4,79,1,chevrolet caprice classic
288 | 17.6,8,302,129,3725,13.4,79,1,ford ltd landau
289 | 16.5,8,351,138,3955,13.2,79,1,mercury grand marquis
290 | 18.2,8,318,135,3830,15.2,79,1,dodge st. regis
291 | 16.9,8,350,155,4360,14.9,79,1,buick estate wagon (sw)
292 | 15.5,8,351,142,4054,14.3,79,1,ford country squire (sw)
293 | 19.2,8,267,125,3605,15,79,1,chevrolet malibu classic (sw)
294 | 18.5,8,360,150,3940,13,79,1,chrysler lebaron town @ country (sw)
295 | 31.9,4,89,71,1925,14,79,2,vw rabbit custom
296 | 34.1,4,86,65,1975,15.2,79,3,maxda glc deluxe
297 | 35.7,4,98,80,1915,14.4,79,1,dodge colt hatchback custom
298 | 27.4,4,121,80,2670,15,79,1,amc spirit dl
299 | 25.4,5,183,77,3530,20.1,79,2,mercedes benz 300d
300 | 23,8,350,125,3900,17.4,79,1,cadillac eldorado
301 | 27.2,4,141,71,3190,24.8,79,2,peugeot 504
302 | 23.9,8,260,90,3420,22.2,79,1,oldsmobile cutlass salon brougham
303 | 34.2,4,105,70,2200,13.2,79,1,plymouth horizon
304 | 34.5,4,105,70,2150,14.9,79,1,plymouth horizon tc3
305 | 31.8,4,85,65,2020,19.2,79,3,datsun 210
306 | 37.3,4,91,69,2130,14.7,79,2,fiat strada custom
307 | 28.4,4,151,90,2670,16,79,1,buick skylark limited
308 | 28.8,6,173,115,2595,11.3,79,1,chevrolet citation
309 | 26.8,6,173,115,2700,12.9,79,1,oldsmobile omega brougham
310 | 33.5,4,151,90,2556,13.2,79,1,pontiac phoenix
311 | 41.5,4,98,76,2144,14.7,80,2,vw rabbit
312 | 38.1,4,89,60,1968,18.8,80,3,toyota corolla tercel
313 | 32.1,4,98,70,2120,15.5,80,1,chevrolet chevette
314 | 37.2,4,86,65,2019,16.4,80,3,datsun 310
315 | 28,4,151,90,2678,16.5,80,1,chevrolet citation
316 | 26.4,4,140,88,2870,18.1,80,1,ford fairmont
317 | 24.3,4,151,90,3003,20.1,80,1,amc concord
318 | 19.1,6,225,90,3381,18.7,80,1,dodge aspen
319 | 34.3,4,97,78,2188,15.8,80,2,audi 4000
320 | 29.8,4,134,90,2711,15.5,80,3,toyota corona liftback
321 | 31.3,4,120,75,2542,17.5,80,3,mazda 626
322 | 37,4,119,92,2434,15,80,3,datsun 510 hatchback
323 | 32.2,4,108,75,2265,15.2,80,3,toyota corolla
324 | 46.6,4,86,65,2110,17.9,80,3,mazda glc
325 | 27.9,4,156,105,2800,14.4,80,1,dodge colt
326 | 40.8,4,85,65,2110,19.2,80,3,datsun 210
327 | 44.3,4,90,48,2085,21.7,80,2,vw rabbit c (diesel)
328 | 43.4,4,90,48,2335,23.7,80,2,vw dasher (diesel)
329 | 36.4,5,121,67,2950,19.9,80,2,audi 5000s (diesel)
330 | 30,4,146,67,3250,21.8,80,2,mercedes-benz 240d
331 | 44.6,4,91,67,1850,13.8,80,3,honda civic 1500 gl
332 | 40.9,4,85,?,1835,17.3,80,2,renault lecar deluxe
333 | 33.8,4,97,67,2145,18,80,3,subaru dl
334 | 29.8,4,89,62,1845,15.3,80,2,vokswagen rabbit
335 | 32.7,6,168,132,2910,11.4,80,3,datsun 280-zx
336 | 23.7,3,70,100,2420,12.5,80,3,mazda rx-7 gs
337 | 35,4,122,88,2500,15.1,80,2,triumph tr7 coupe
338 | 23.6,4,140,?,2905,14.3,80,1,ford mustang cobra
339 | 32.4,4,107,72,2290,17,80,3,honda accord
340 | 27.2,4,135,84,2490,15.7,81,1,plymouth reliant
341 | 26.6,4,151,84,2635,16.4,81,1,buick skylark
342 | 25.8,4,156,92,2620,14.4,81,1,dodge aries wagon (sw)
343 | 23.5,6,173,110,2725,12.6,81,1,chevrolet citation
344 | 30,4,135,84,2385,12.9,81,1,plymouth reliant
345 | 39.1,4,79,58,1755,16.9,81,3,toyota starlet
346 | 39,4,86,64,1875,16.4,81,1,plymouth champ
347 | 35.1,4,81,60,1760,16.1,81,3,honda civic 1300
348 | 32.3,4,97,67,2065,17.8,81,3,subaru
349 | 37,4,85,65,1975,19.4,81,3,datsun 210 mpg
350 | 37.7,4,89,62,2050,17.3,81,3,toyota tercel
351 | 34.1,4,91,68,1985,16,81,3,mazda glc 4
352 | 34.7,4,105,63,2215,14.9,81,1,plymouth horizon 4
353 | 34.4,4,98,65,2045,16.2,81,1,ford escort 4w
354 | 29.9,4,98,65,2380,20.7,81,1,ford escort 2h
355 | 33,4,105,74,2190,14.2,81,2,volkswagen jetta
356 | 34.5,4,100,?,2320,15.8,81,2,renault 18i
357 | 33.7,4,107,75,2210,14.4,81,3,honda prelude
358 | 32.4,4,108,75,2350,16.8,81,3,toyota corolla
359 | 32.9,4,119,100,2615,14.8,81,3,datsun 200sx
360 | 31.6,4,120,74,2635,18.3,81,3,mazda 626
361 | 28.1,4,141,80,3230,20.4,81,2,peugeot 505s turbo diesel
362 | 30.7,6,145,76,3160,19.6,81,2,volvo diesel
363 | 25.4,6,168,116,2900,12.6,81,3,toyota cressida
364 | 24.2,6,146,120,2930,13.8,81,3,datsun 810 maxima
365 | 22.4,6,231,110,3415,15.8,81,1,buick century
366 | 26.6,8,350,105,3725,19,81,1,oldsmobile cutlass ls
367 | 20.2,6,200,88,3060,17.1,81,1,ford granada gl
368 | 17.6,6,225,85,3465,16.6,81,1,chrysler lebaron salon
369 | 28,4,112,88,2605,19.6,82,1,chevrolet cavalier
370 | 27,4,112,88,2640,18.6,82,1,chevrolet cavalier wagon
371 | 34,4,112,88,2395,18,82,1,chevrolet cavalier 2-door
372 | 31,4,112,85,2575,16.2,82,1,pontiac j2000 se hatchback
373 | 29,4,135,84,2525,16,82,1,dodge aries se
374 | 27,4,151,90,2735,18,82,1,pontiac phoenix
375 | 24,4,140,92,2865,16.4,82,1,ford fairmont futura
376 | 36,4,105,74,1980,15.3,82,2,volkswagen rabbit l
377 | 37,4,91,68,2025,18.2,82,3,mazda glc custom l
378 | 31,4,91,68,1970,17.6,82,3,mazda glc custom
379 | 38,4,105,63,2125,14.7,82,1,plymouth horizon miser
380 | 36,4,98,70,2125,17.3,82,1,mercury lynx l
381 | 36,4,120,88,2160,14.5,82,3,nissan stanza xe
382 | 36,4,107,75,2205,14.5,82,3,honda accord
383 | 34,4,108,70,2245,16.9,82,3,toyota corolla
384 | 38,4,91,67,1965,15,82,3,honda civic
385 | 32,4,91,67,1965,15.7,82,3,honda civic (auto)
386 | 38,4,91,67,1995,16.2,82,3,datsun 310 gx
387 | 25,6,181,110,2945,16.4,82,1,buick century limited
388 | 38,6,262,85,3015,17,82,1,oldsmobile cutlass ciera (diesel)
389 | 26,4,156,92,2585,14.5,82,1,chrysler lebaron medallion
390 | 22,6,232,112,2835,14.7,82,1,ford granada l
391 | 32,4,144,96,2665,13.9,82,3,toyota celica gt
392 | 36,4,135,84,2370,13,82,1,dodge charger 2.2
393 | 27,4,151,90,2950,17.3,82,1,chevrolet camaro
394 | 27,4,140,86,2790,15.6,82,1,ford mustang gl
395 | 44,4,97,52,2130,24.6,82,2,vw pickup
396 | 32,4,135,84,2295,11.6,82,1,dodge rampage
397 | 28,4,120,79,2625,18.6,82,1,ford ranger
398 | 31,4,119,82,2720,19.4,82,1,chevy s-10
399 |
--------------------------------------------------------------------------------
/data/Carseats.csv:
--------------------------------------------------------------------------------
1 | "","Sales","CompPrice","Income","Advertising","Population","Price","ShelveLoc","Age","Education","Urban","US"
2 | "1",9.5,138,73,11,276,120,"Bad",42,17,"Yes","Yes"
3 | "2",11.22,111,48,16,260,83,"Good",65,10,"Yes","Yes"
4 | "3",10.06,113,35,10,269,80,"Medium",59,12,"Yes","Yes"
5 | "4",7.4,117,100,4,466,97,"Medium",55,14,"Yes","Yes"
6 | "5",4.15,141,64,3,340,128,"Bad",38,13,"Yes","No"
7 | "6",10.81,124,113,13,501,72,"Bad",78,16,"No","Yes"
8 | "7",6.63,115,105,0,45,108,"Medium",71,15,"Yes","No"
9 | "8",11.85,136,81,15,425,120,"Good",67,10,"Yes","Yes"
10 | "9",6.54,132,110,0,108,124,"Medium",76,10,"No","No"
11 | "10",4.69,132,113,0,131,124,"Medium",76,17,"No","Yes"
12 | "11",9.01,121,78,9,150,100,"Bad",26,10,"No","Yes"
13 | "12",11.96,117,94,4,503,94,"Good",50,13,"Yes","Yes"
14 | "13",3.98,122,35,2,393,136,"Medium",62,18,"Yes","No"
15 | "14",10.96,115,28,11,29,86,"Good",53,18,"Yes","Yes"
16 | "15",11.17,107,117,11,148,118,"Good",52,18,"Yes","Yes"
17 | "16",8.71,149,95,5,400,144,"Medium",76,18,"No","No"
18 | "17",7.58,118,32,0,284,110,"Good",63,13,"Yes","No"
19 | "18",12.29,147,74,13,251,131,"Good",52,10,"Yes","Yes"
20 | "19",13.91,110,110,0,408,68,"Good",46,17,"No","Yes"
21 | "20",8.73,129,76,16,58,121,"Medium",69,12,"Yes","Yes"
22 | "21",6.41,125,90,2,367,131,"Medium",35,18,"Yes","Yes"
23 | "22",12.13,134,29,12,239,109,"Good",62,18,"No","Yes"
24 | "23",5.08,128,46,6,497,138,"Medium",42,13,"Yes","No"
25 | "24",5.87,121,31,0,292,109,"Medium",79,10,"Yes","No"
26 | "25",10.14,145,119,16,294,113,"Bad",42,12,"Yes","Yes"
27 | "26",14.9,139,32,0,176,82,"Good",54,11,"No","No"
28 | "27",8.33,107,115,11,496,131,"Good",50,11,"No","Yes"
29 | "28",5.27,98,118,0,19,107,"Medium",64,17,"Yes","No"
30 | "29",2.99,103,74,0,359,97,"Bad",55,11,"Yes","Yes"
31 | "30",7.81,104,99,15,226,102,"Bad",58,17,"Yes","Yes"
32 | "31",13.55,125,94,0,447,89,"Good",30,12,"Yes","No"
33 | "32",8.25,136,58,16,241,131,"Medium",44,18,"Yes","Yes"
34 | "33",6.2,107,32,12,236,137,"Good",64,10,"No","Yes"
35 | "34",8.77,114,38,13,317,128,"Good",50,16,"Yes","Yes"
36 | "35",2.67,115,54,0,406,128,"Medium",42,17,"Yes","Yes"
37 | "36",11.07,131,84,11,29,96,"Medium",44,17,"No","Yes"
38 | "37",8.89,122,76,0,270,100,"Good",60,18,"No","No"
39 | "38",4.95,121,41,5,412,110,"Medium",54,10,"Yes","Yes"
40 | "39",6.59,109,73,0,454,102,"Medium",65,15,"Yes","No"
41 | "40",3.24,130,60,0,144,138,"Bad",38,10,"No","No"
42 | "41",2.07,119,98,0,18,126,"Bad",73,17,"No","No"
43 | "42",7.96,157,53,0,403,124,"Bad",58,16,"Yes","No"
44 | "43",10.43,77,69,0,25,24,"Medium",50,18,"Yes","No"
45 | "44",4.12,123,42,11,16,134,"Medium",59,13,"Yes","Yes"
46 | "45",4.16,85,79,6,325,95,"Medium",69,13,"Yes","Yes"
47 | "46",4.56,141,63,0,168,135,"Bad",44,12,"Yes","Yes"
48 | "47",12.44,127,90,14,16,70,"Medium",48,15,"No","Yes"
49 | "48",4.38,126,98,0,173,108,"Bad",55,16,"Yes","No"
50 | "49",3.91,116,52,0,349,98,"Bad",69,18,"Yes","No"
51 | "50",10.61,157,93,0,51,149,"Good",32,17,"Yes","No"
52 | "51",1.42,99,32,18,341,108,"Bad",80,16,"Yes","Yes"
53 | "52",4.42,121,90,0,150,108,"Bad",75,16,"Yes","No"
54 | "53",7.91,153,40,3,112,129,"Bad",39,18,"Yes","Yes"
55 | "54",6.92,109,64,13,39,119,"Medium",61,17,"Yes","Yes"
56 | "55",4.9,134,103,13,25,144,"Medium",76,17,"No","Yes"
57 | "56",6.85,143,81,5,60,154,"Medium",61,18,"Yes","Yes"
58 | "57",11.91,133,82,0,54,84,"Medium",50,17,"Yes","No"
59 | "58",0.91,93,91,0,22,117,"Bad",75,11,"Yes","No"
60 | "59",5.42,103,93,15,188,103,"Bad",74,16,"Yes","Yes"
61 | "60",5.21,118,71,4,148,114,"Medium",80,13,"Yes","No"
62 | "61",8.32,122,102,19,469,123,"Bad",29,13,"Yes","Yes"
63 | "62",7.32,105,32,0,358,107,"Medium",26,13,"No","No"
64 | "63",1.82,139,45,0,146,133,"Bad",77,17,"Yes","Yes"
65 | "64",8.47,119,88,10,170,101,"Medium",61,13,"Yes","Yes"
66 | "65",7.8,100,67,12,184,104,"Medium",32,16,"No","Yes"
67 | "66",4.9,122,26,0,197,128,"Medium",55,13,"No","No"
68 | "67",8.85,127,92,0,508,91,"Medium",56,18,"Yes","No"
69 | "68",9.01,126,61,14,152,115,"Medium",47,16,"Yes","Yes"
70 | "69",13.39,149,69,20,366,134,"Good",60,13,"Yes","Yes"
71 | "70",7.99,127,59,0,339,99,"Medium",65,12,"Yes","No"
72 | "71",9.46,89,81,15,237,99,"Good",74,12,"Yes","Yes"
73 | "72",6.5,148,51,16,148,150,"Medium",58,17,"No","Yes"
74 | "73",5.52,115,45,0,432,116,"Medium",25,15,"Yes","No"
75 | "74",12.61,118,90,10,54,104,"Good",31,11,"No","Yes"
76 | "75",6.2,150,68,5,125,136,"Medium",64,13,"No","Yes"
77 | "76",8.55,88,111,23,480,92,"Bad",36,16,"No","Yes"
78 | "77",10.64,102,87,10,346,70,"Medium",64,15,"Yes","Yes"
79 | "78",7.7,118,71,12,44,89,"Medium",67,18,"No","Yes"
80 | "79",4.43,134,48,1,139,145,"Medium",65,12,"Yes","Yes"
81 | "80",9.14,134,67,0,286,90,"Bad",41,13,"Yes","No"
82 | "81",8.01,113,100,16,353,79,"Bad",68,11,"Yes","Yes"
83 | "82",7.52,116,72,0,237,128,"Good",70,13,"Yes","No"
84 | "83",11.62,151,83,4,325,139,"Good",28,17,"Yes","Yes"
85 | "84",4.42,109,36,7,468,94,"Bad",56,11,"Yes","Yes"
86 | "85",2.23,111,25,0,52,121,"Bad",43,18,"No","No"
87 | "86",8.47,125,103,0,304,112,"Medium",49,13,"No","No"
88 | "87",8.7,150,84,9,432,134,"Medium",64,15,"Yes","No"
89 | "88",11.7,131,67,7,272,126,"Good",54,16,"No","Yes"
90 | "89",6.56,117,42,7,144,111,"Medium",62,10,"Yes","Yes"
91 | "90",7.95,128,66,3,493,119,"Medium",45,16,"No","No"
92 | "91",5.33,115,22,0,491,103,"Medium",64,11,"No","No"
93 | "92",4.81,97,46,11,267,107,"Medium",80,15,"Yes","Yes"
94 | "93",4.53,114,113,0,97,125,"Medium",29,12,"Yes","No"
95 | "94",8.86,145,30,0,67,104,"Medium",55,17,"Yes","No"
96 | "95",8.39,115,97,5,134,84,"Bad",55,11,"Yes","Yes"
97 | "96",5.58,134,25,10,237,148,"Medium",59,13,"Yes","Yes"
98 | "97",9.48,147,42,10,407,132,"Good",73,16,"No","Yes"
99 | "98",7.45,161,82,5,287,129,"Bad",33,16,"Yes","Yes"
100 | "99",12.49,122,77,24,382,127,"Good",36,16,"No","Yes"
101 | "100",4.88,121,47,3,220,107,"Bad",56,16,"No","Yes"
102 | "101",4.11,113,69,11,94,106,"Medium",76,12,"No","Yes"
103 | "102",6.2,128,93,0,89,118,"Medium",34,18,"Yes","No"
104 | "103",5.3,113,22,0,57,97,"Medium",65,16,"No","No"
105 | "104",5.07,123,91,0,334,96,"Bad",78,17,"Yes","Yes"
106 | "105",4.62,121,96,0,472,138,"Medium",51,12,"Yes","No"
107 | "106",5.55,104,100,8,398,97,"Medium",61,11,"Yes","Yes"
108 | "107",0.16,102,33,0,217,139,"Medium",70,18,"No","No"
109 | "108",8.55,134,107,0,104,108,"Medium",60,12,"Yes","No"
110 | "109",3.47,107,79,2,488,103,"Bad",65,16,"Yes","No"
111 | "110",8.98,115,65,0,217,90,"Medium",60,17,"No","No"
112 | "111",9,128,62,7,125,116,"Medium",43,14,"Yes","Yes"
113 | "112",6.62,132,118,12,272,151,"Medium",43,14,"Yes","Yes"
114 | "113",6.67,116,99,5,298,125,"Good",62,12,"Yes","Yes"
115 | "114",6.01,131,29,11,335,127,"Bad",33,12,"Yes","Yes"
116 | "115",9.31,122,87,9,17,106,"Medium",65,13,"Yes","Yes"
117 | "116",8.54,139,35,0,95,129,"Medium",42,13,"Yes","No"
118 | "117",5.08,135,75,0,202,128,"Medium",80,10,"No","No"
119 | "118",8.8,145,53,0,507,119,"Medium",41,12,"Yes","No"
120 | "119",7.57,112,88,2,243,99,"Medium",62,11,"Yes","Yes"
121 | "120",7.37,130,94,8,137,128,"Medium",64,12,"Yes","Yes"
122 | "121",6.87,128,105,11,249,131,"Medium",63,13,"Yes","Yes"
123 | "122",11.67,125,89,10,380,87,"Bad",28,10,"Yes","Yes"
124 | "123",6.88,119,100,5,45,108,"Medium",75,10,"Yes","Yes"
125 | "124",8.19,127,103,0,125,155,"Good",29,15,"No","Yes"
126 | "125",8.87,131,113,0,181,120,"Good",63,14,"Yes","No"
127 | "126",9.34,89,78,0,181,49,"Medium",43,15,"No","No"
128 | "127",11.27,153,68,2,60,133,"Good",59,16,"Yes","Yes"
129 | "128",6.52,125,48,3,192,116,"Medium",51,14,"Yes","Yes"
130 | "129",4.96,133,100,3,350,126,"Bad",55,13,"Yes","Yes"
131 | "130",4.47,143,120,7,279,147,"Bad",40,10,"No","Yes"
132 | "131",8.41,94,84,13,497,77,"Medium",51,12,"Yes","Yes"
133 | "132",6.5,108,69,3,208,94,"Medium",77,16,"Yes","No"
134 | "133",9.54,125,87,9,232,136,"Good",72,10,"Yes","Yes"
135 | "134",7.62,132,98,2,265,97,"Bad",62,12,"Yes","Yes"
136 | "135",3.67,132,31,0,327,131,"Medium",76,16,"Yes","No"
137 | "136",6.44,96,94,14,384,120,"Medium",36,18,"No","Yes"
138 | "137",5.17,131,75,0,10,120,"Bad",31,18,"No","No"
139 | "138",6.52,128,42,0,436,118,"Medium",80,11,"Yes","No"
140 | "139",10.27,125,103,12,371,109,"Medium",44,10,"Yes","Yes"
141 | "140",12.3,146,62,10,310,94,"Medium",30,13,"No","Yes"
142 | "141",6.03,133,60,10,277,129,"Medium",45,18,"Yes","Yes"
143 | "142",6.53,140,42,0,331,131,"Bad",28,15,"Yes","No"
144 | "143",7.44,124,84,0,300,104,"Medium",77,15,"Yes","No"
145 | "144",0.53,122,88,7,36,159,"Bad",28,17,"Yes","Yes"
146 | "145",9.09,132,68,0,264,123,"Good",34,11,"No","No"
147 | "146",8.77,144,63,11,27,117,"Medium",47,17,"Yes","Yes"
148 | "147",3.9,114,83,0,412,131,"Bad",39,14,"Yes","No"
149 | "148",10.51,140,54,9,402,119,"Good",41,16,"No","Yes"
150 | "149",7.56,110,119,0,384,97,"Medium",72,14,"No","Yes"
151 | "150",11.48,121,120,13,140,87,"Medium",56,11,"Yes","Yes"
152 | "151",10.49,122,84,8,176,114,"Good",57,10,"No","Yes"
153 | "152",10.77,111,58,17,407,103,"Good",75,17,"No","Yes"
154 | "153",7.64,128,78,0,341,128,"Good",45,13,"No","No"
155 | "154",5.93,150,36,7,488,150,"Medium",25,17,"No","Yes"
156 | "155",6.89,129,69,10,289,110,"Medium",50,16,"No","Yes"
157 | "156",7.71,98,72,0,59,69,"Medium",65,16,"Yes","No"
158 | "157",7.49,146,34,0,220,157,"Good",51,16,"Yes","No"
159 | "158",10.21,121,58,8,249,90,"Medium",48,13,"No","Yes"
160 | "159",12.53,142,90,1,189,112,"Good",39,10,"No","Yes"
161 | "160",9.32,119,60,0,372,70,"Bad",30,18,"No","No"
162 | "161",4.67,111,28,0,486,111,"Medium",29,12,"No","No"
163 | "162",2.93,143,21,5,81,160,"Medium",67,12,"No","Yes"
164 | "163",3.63,122,74,0,424,149,"Medium",51,13,"Yes","No"
165 | "164",5.68,130,64,0,40,106,"Bad",39,17,"No","No"
166 | "165",8.22,148,64,0,58,141,"Medium",27,13,"No","Yes"
167 | "166",0.37,147,58,7,100,191,"Bad",27,15,"Yes","Yes"
168 | "167",6.71,119,67,17,151,137,"Medium",55,11,"Yes","Yes"
169 | "168",6.71,106,73,0,216,93,"Medium",60,13,"Yes","No"
170 | "169",7.3,129,89,0,425,117,"Medium",45,10,"Yes","No"
171 | "170",11.48,104,41,15,492,77,"Good",73,18,"Yes","Yes"
172 | "171",8.01,128,39,12,356,118,"Medium",71,10,"Yes","Yes"
173 | "172",12.49,93,106,12,416,55,"Medium",75,15,"Yes","Yes"
174 | "173",9.03,104,102,13,123,110,"Good",35,16,"Yes","Yes"
175 | "174",6.38,135,91,5,207,128,"Medium",66,18,"Yes","Yes"
176 | "175",0,139,24,0,358,185,"Medium",79,15,"No","No"
177 | "176",7.54,115,89,0,38,122,"Medium",25,12,"Yes","No"
178 | "177",5.61,138,107,9,480,154,"Medium",47,11,"No","Yes"
179 | "178",10.48,138,72,0,148,94,"Medium",27,17,"Yes","Yes"
180 | "179",10.66,104,71,14,89,81,"Medium",25,14,"No","Yes"
181 | "180",7.78,144,25,3,70,116,"Medium",77,18,"Yes","Yes"
182 | "181",4.94,137,112,15,434,149,"Bad",66,13,"Yes","Yes"
183 | "182",7.43,121,83,0,79,91,"Medium",68,11,"Yes","No"
184 | "183",4.74,137,60,4,230,140,"Bad",25,13,"Yes","No"
185 | "184",5.32,118,74,6,426,102,"Medium",80,18,"Yes","Yes"
186 | "185",9.95,132,33,7,35,97,"Medium",60,11,"No","Yes"
187 | "186",10.07,130,100,11,449,107,"Medium",64,10,"Yes","Yes"
188 | "187",8.68,120,51,0,93,86,"Medium",46,17,"No","No"
189 | "188",6.03,117,32,0,142,96,"Bad",62,17,"Yes","No"
190 | "189",8.07,116,37,0,426,90,"Medium",76,15,"Yes","No"
191 | "190",12.11,118,117,18,509,104,"Medium",26,15,"No","Yes"
192 | "191",8.79,130,37,13,297,101,"Medium",37,13,"No","Yes"
193 | "192",6.67,156,42,13,170,173,"Good",74,14,"Yes","Yes"
194 | "193",7.56,108,26,0,408,93,"Medium",56,14,"No","No"
195 | "194",13.28,139,70,7,71,96,"Good",61,10,"Yes","Yes"
196 | "195",7.23,112,98,18,481,128,"Medium",45,11,"Yes","Yes"
197 | "196",4.19,117,93,4,420,112,"Bad",66,11,"Yes","Yes"
198 | "197",4.1,130,28,6,410,133,"Bad",72,16,"Yes","Yes"
199 | "198",2.52,124,61,0,333,138,"Medium",76,16,"Yes","No"
200 | "199",3.62,112,80,5,500,128,"Medium",69,10,"Yes","Yes"
201 | "200",6.42,122,88,5,335,126,"Medium",64,14,"Yes","Yes"
202 | "201",5.56,144,92,0,349,146,"Medium",62,12,"No","No"
203 | "202",5.94,138,83,0,139,134,"Medium",54,18,"Yes","No"
204 | "203",4.1,121,78,4,413,130,"Bad",46,10,"No","Yes"
205 | "204",2.05,131,82,0,132,157,"Bad",25,14,"Yes","No"
206 | "205",8.74,155,80,0,237,124,"Medium",37,14,"Yes","No"
207 | "206",5.68,113,22,1,317,132,"Medium",28,12,"Yes","No"
208 | "207",4.97,162,67,0,27,160,"Medium",77,17,"Yes","Yes"
209 | "208",8.19,111,105,0,466,97,"Bad",61,10,"No","No"
210 | "209",7.78,86,54,0,497,64,"Bad",33,12,"Yes","No"
211 | "210",3.02,98,21,11,326,90,"Bad",76,11,"No","Yes"
212 | "211",4.36,125,41,2,357,123,"Bad",47,14,"No","Yes"
213 | "212",9.39,117,118,14,445,120,"Medium",32,15,"Yes","Yes"
214 | "213",12.04,145,69,19,501,105,"Medium",45,11,"Yes","Yes"
215 | "214",8.23,149,84,5,220,139,"Medium",33,10,"Yes","Yes"
216 | "215",4.83,115,115,3,48,107,"Medium",73,18,"Yes","Yes"
217 | "216",2.34,116,83,15,170,144,"Bad",71,11,"Yes","Yes"
218 | "217",5.73,141,33,0,243,144,"Medium",34,17,"Yes","No"
219 | "218",4.34,106,44,0,481,111,"Medium",70,14,"No","No"
220 | "219",9.7,138,61,12,156,120,"Medium",25,14,"Yes","Yes"
221 | "220",10.62,116,79,19,359,116,"Good",58,17,"Yes","Yes"
222 | "221",10.59,131,120,15,262,124,"Medium",30,10,"Yes","Yes"
223 | "222",6.43,124,44,0,125,107,"Medium",80,11,"Yes","No"
224 | "223",7.49,136,119,6,178,145,"Medium",35,13,"Yes","Yes"
225 | "224",3.45,110,45,9,276,125,"Medium",62,14,"Yes","Yes"
226 | "225",4.1,134,82,0,464,141,"Medium",48,13,"No","No"
227 | "226",6.68,107,25,0,412,82,"Bad",36,14,"Yes","No"
228 | "227",7.8,119,33,0,245,122,"Good",56,14,"Yes","No"
229 | "228",8.69,113,64,10,68,101,"Medium",57,16,"Yes","Yes"
230 | "229",5.4,149,73,13,381,163,"Bad",26,11,"No","Yes"
231 | "230",11.19,98,104,0,404,72,"Medium",27,18,"No","No"
232 | "231",5.16,115,60,0,119,114,"Bad",38,14,"No","No"
233 | "232",8.09,132,69,0,123,122,"Medium",27,11,"No","No"
234 | "233",13.14,137,80,10,24,105,"Good",61,15,"Yes","Yes"
235 | "234",8.65,123,76,18,218,120,"Medium",29,14,"No","Yes"
236 | "235",9.43,115,62,11,289,129,"Good",56,16,"No","Yes"
237 | "236",5.53,126,32,8,95,132,"Medium",50,17,"Yes","Yes"
238 | "237",9.32,141,34,16,361,108,"Medium",69,10,"Yes","Yes"
239 | "238",9.62,151,28,8,499,135,"Medium",48,10,"Yes","Yes"
240 | "239",7.36,121,24,0,200,133,"Good",73,13,"Yes","No"
241 | "240",3.89,123,105,0,149,118,"Bad",62,16,"Yes","Yes"
242 | "241",10.31,159,80,0,362,121,"Medium",26,18,"Yes","No"
243 | "242",12.01,136,63,0,160,94,"Medium",38,12,"Yes","No"
244 | "243",4.68,124,46,0,199,135,"Medium",52,14,"No","No"
245 | "244",7.82,124,25,13,87,110,"Medium",57,10,"Yes","Yes"
246 | "245",8.78,130,30,0,391,100,"Medium",26,18,"Yes","No"
247 | "246",10,114,43,0,199,88,"Good",57,10,"No","Yes"
248 | "247",6.9,120,56,20,266,90,"Bad",78,18,"Yes","Yes"
249 | "248",5.04,123,114,0,298,151,"Bad",34,16,"Yes","No"
250 | "249",5.36,111,52,0,12,101,"Medium",61,11,"Yes","Yes"
251 | "250",5.05,125,67,0,86,117,"Bad",65,11,"Yes","No"
252 | "251",9.16,137,105,10,435,156,"Good",72,14,"Yes","Yes"
253 | "252",3.72,139,111,5,310,132,"Bad",62,13,"Yes","Yes"
254 | "253",8.31,133,97,0,70,117,"Medium",32,16,"Yes","No"
255 | "254",5.64,124,24,5,288,122,"Medium",57,12,"No","Yes"
256 | "255",9.58,108,104,23,353,129,"Good",37,17,"Yes","Yes"
257 | "256",7.71,123,81,8,198,81,"Bad",80,15,"Yes","Yes"
258 | "257",4.2,147,40,0,277,144,"Medium",73,10,"Yes","No"
259 | "258",8.67,125,62,14,477,112,"Medium",80,13,"Yes","Yes"
260 | "259",3.47,108,38,0,251,81,"Bad",72,14,"No","No"
261 | "260",5.12,123,36,10,467,100,"Bad",74,11,"No","Yes"
262 | "261",7.67,129,117,8,400,101,"Bad",36,10,"Yes","Yes"
263 | "262",5.71,121,42,4,188,118,"Medium",54,15,"Yes","Yes"
264 | "263",6.37,120,77,15,86,132,"Medium",48,18,"Yes","Yes"
265 | "264",7.77,116,26,6,434,115,"Medium",25,17,"Yes","Yes"
266 | "265",6.95,128,29,5,324,159,"Good",31,15,"Yes","Yes"
267 | "266",5.31,130,35,10,402,129,"Bad",39,17,"Yes","Yes"
268 | "267",9.1,128,93,12,343,112,"Good",73,17,"No","Yes"
269 | "268",5.83,134,82,7,473,112,"Bad",51,12,"No","Yes"
270 | "269",6.53,123,57,0,66,105,"Medium",39,11,"Yes","No"
271 | "270",5.01,159,69,0,438,166,"Medium",46,17,"Yes","No"
272 | "271",11.99,119,26,0,284,89,"Good",26,10,"Yes","No"
273 | "272",4.55,111,56,0,504,110,"Medium",62,16,"Yes","No"
274 | "273",12.98,113,33,0,14,63,"Good",38,12,"Yes","No"
275 | "274",10.04,116,106,8,244,86,"Medium",58,12,"Yes","Yes"
276 | "275",7.22,135,93,2,67,119,"Medium",34,11,"Yes","Yes"
277 | "276",6.67,107,119,11,210,132,"Medium",53,11,"Yes","Yes"
278 | "277",6.93,135,69,14,296,130,"Medium",73,15,"Yes","Yes"
279 | "278",7.8,136,48,12,326,125,"Medium",36,16,"Yes","Yes"
280 | "279",7.22,114,113,2,129,151,"Good",40,15,"No","Yes"
281 | "280",3.42,141,57,13,376,158,"Medium",64,18,"Yes","Yes"
282 | "281",2.86,121,86,10,496,145,"Bad",51,10,"Yes","Yes"
283 | "282",11.19,122,69,7,303,105,"Good",45,16,"No","Yes"
284 | "283",7.74,150,96,0,80,154,"Good",61,11,"Yes","No"
285 | "284",5.36,135,110,0,112,117,"Medium",80,16,"No","No"
286 | "285",6.97,106,46,11,414,96,"Bad",79,17,"No","No"
287 | "286",7.6,146,26,11,261,131,"Medium",39,10,"Yes","Yes"
288 | "287",7.53,117,118,11,429,113,"Medium",67,18,"No","Yes"
289 | "288",6.88,95,44,4,208,72,"Bad",44,17,"Yes","Yes"
290 | "289",6.98,116,40,0,74,97,"Medium",76,15,"No","No"
291 | "290",8.75,143,77,25,448,156,"Medium",43,17,"Yes","Yes"
292 | "291",9.49,107,111,14,400,103,"Medium",41,11,"No","Yes"
293 | "292",6.64,118,70,0,106,89,"Bad",39,17,"Yes","No"
294 | "293",11.82,113,66,16,322,74,"Good",76,15,"Yes","Yes"
295 | "294",11.28,123,84,0,74,89,"Good",59,10,"Yes","No"
296 | "295",12.66,148,76,3,126,99,"Good",60,11,"Yes","Yes"
297 | "296",4.21,118,35,14,502,137,"Medium",79,10,"No","Yes"
298 | "297",8.21,127,44,13,160,123,"Good",63,18,"Yes","Yes"
299 | "298",3.07,118,83,13,276,104,"Bad",75,10,"Yes","Yes"
300 | "299",10.98,148,63,0,312,130,"Good",63,15,"Yes","No"
301 | "300",9.4,135,40,17,497,96,"Medium",54,17,"No","Yes"
302 | "301",8.57,116,78,1,158,99,"Medium",45,11,"Yes","Yes"
303 | "302",7.41,99,93,0,198,87,"Medium",57,16,"Yes","Yes"
304 | "303",5.28,108,77,13,388,110,"Bad",74,14,"Yes","Yes"
305 | "304",10.01,133,52,16,290,99,"Medium",43,11,"Yes","Yes"
306 | "305",11.93,123,98,12,408,134,"Good",29,10,"Yes","Yes"
307 | "306",8.03,115,29,26,394,132,"Medium",33,13,"Yes","Yes"
308 | "307",4.78,131,32,1,85,133,"Medium",48,12,"Yes","Yes"
309 | "308",5.9,138,92,0,13,120,"Bad",61,12,"Yes","No"
310 | "309",9.24,126,80,19,436,126,"Medium",52,10,"Yes","Yes"
311 | "310",11.18,131,111,13,33,80,"Bad",68,18,"Yes","Yes"
312 | "311",9.53,175,65,29,419,166,"Medium",53,12,"Yes","Yes"
313 | "312",6.15,146,68,12,328,132,"Bad",51,14,"Yes","Yes"
314 | "313",6.8,137,117,5,337,135,"Bad",38,10,"Yes","Yes"
315 | "314",9.33,103,81,3,491,54,"Medium",66,13,"Yes","No"
316 | "315",7.72,133,33,10,333,129,"Good",71,14,"Yes","Yes"
317 | "316",6.39,131,21,8,220,171,"Good",29,14,"Yes","Yes"
318 | "317",15.63,122,36,5,369,72,"Good",35,10,"Yes","Yes"
319 | "318",6.41,142,30,0,472,136,"Good",80,15,"No","No"
320 | "319",10.08,116,72,10,456,130,"Good",41,14,"No","Yes"
321 | "320",6.97,127,45,19,459,129,"Medium",57,11,"No","Yes"
322 | "321",5.86,136,70,12,171,152,"Medium",44,18,"Yes","Yes"
323 | "322",7.52,123,39,5,499,98,"Medium",34,15,"Yes","No"
324 | "323",9.16,140,50,10,300,139,"Good",60,15,"Yes","Yes"
325 | "324",10.36,107,105,18,428,103,"Medium",34,12,"Yes","Yes"
326 | "325",2.66,136,65,4,133,150,"Bad",53,13,"Yes","Yes"
327 | "326",11.7,144,69,11,131,104,"Medium",47,11,"Yes","Yes"
328 | "327",4.69,133,30,0,152,122,"Medium",53,17,"Yes","No"
329 | "328",6.23,112,38,17,316,104,"Medium",80,16,"Yes","Yes"
330 | "329",3.15,117,66,1,65,111,"Bad",55,11,"Yes","Yes"
331 | "330",11.27,100,54,9,433,89,"Good",45,12,"Yes","Yes"
332 | "331",4.99,122,59,0,501,112,"Bad",32,14,"No","No"
333 | "332",10.1,135,63,15,213,134,"Medium",32,10,"Yes","Yes"
334 | "333",5.74,106,33,20,354,104,"Medium",61,12,"Yes","Yes"
335 | "334",5.87,136,60,7,303,147,"Medium",41,10,"Yes","Yes"
336 | "335",7.63,93,117,9,489,83,"Bad",42,13,"Yes","Yes"
337 | "336",6.18,120,70,15,464,110,"Medium",72,15,"Yes","Yes"
338 | "337",5.17,138,35,6,60,143,"Bad",28,18,"Yes","No"
339 | "338",8.61,130,38,0,283,102,"Medium",80,15,"Yes","No"
340 | "339",5.97,112,24,0,164,101,"Medium",45,11,"Yes","No"
341 | "340",11.54,134,44,4,219,126,"Good",44,15,"Yes","Yes"
342 | "341",7.5,140,29,0,105,91,"Bad",43,16,"Yes","No"
343 | "342",7.38,98,120,0,268,93,"Medium",72,10,"No","No"
344 | "343",7.81,137,102,13,422,118,"Medium",71,10,"No","Yes"
345 | "344",5.99,117,42,10,371,121,"Bad",26,14,"Yes","Yes"
346 | "345",8.43,138,80,0,108,126,"Good",70,13,"No","Yes"
347 | "346",4.81,121,68,0,279,149,"Good",79,12,"Yes","No"
348 | "347",8.97,132,107,0,144,125,"Medium",33,13,"No","No"
349 | "348",6.88,96,39,0,161,112,"Good",27,14,"No","No"
350 | "349",12.57,132,102,20,459,107,"Good",49,11,"Yes","Yes"
351 | "350",9.32,134,27,18,467,96,"Medium",49,14,"No","Yes"
352 | "351",8.64,111,101,17,266,91,"Medium",63,17,"No","Yes"
353 | "352",10.44,124,115,16,458,105,"Medium",62,16,"No","Yes"
354 | "353",13.44,133,103,14,288,122,"Good",61,17,"Yes","Yes"
355 | "354",9.45,107,67,12,430,92,"Medium",35,12,"No","Yes"
356 | "355",5.3,133,31,1,80,145,"Medium",42,18,"Yes","Yes"
357 | "356",7.02,130,100,0,306,146,"Good",42,11,"Yes","No"
358 | "357",3.58,142,109,0,111,164,"Good",72,12,"Yes","No"
359 | "358",13.36,103,73,3,276,72,"Medium",34,15,"Yes","Yes"
360 | "359",4.17,123,96,10,71,118,"Bad",69,11,"Yes","Yes"
361 | "360",3.13,130,62,11,396,130,"Bad",66,14,"Yes","Yes"
362 | "361",8.77,118,86,7,265,114,"Good",52,15,"No","Yes"
363 | "362",8.68,131,25,10,183,104,"Medium",56,15,"No","Yes"
364 | "363",5.25,131,55,0,26,110,"Bad",79,12,"Yes","Yes"
365 | "364",10.26,111,75,1,377,108,"Good",25,12,"Yes","No"
366 | "365",10.5,122,21,16,488,131,"Good",30,14,"Yes","Yes"
367 | "366",6.53,154,30,0,122,162,"Medium",57,17,"No","No"
368 | "367",5.98,124,56,11,447,134,"Medium",53,12,"No","Yes"
369 | "368",14.37,95,106,0,256,53,"Good",52,17,"Yes","No"
370 | "369",10.71,109,22,10,348,79,"Good",74,14,"No","Yes"
371 | "370",10.26,135,100,22,463,122,"Medium",36,14,"Yes","Yes"
372 | "371",7.68,126,41,22,403,119,"Bad",42,12,"Yes","Yes"
373 | "372",9.08,152,81,0,191,126,"Medium",54,16,"Yes","No"
374 | "373",7.8,121,50,0,508,98,"Medium",65,11,"No","No"
375 | "374",5.58,137,71,0,402,116,"Medium",78,17,"Yes","No"
376 | "375",9.44,131,47,7,90,118,"Medium",47,12,"Yes","Yes"
377 | "376",7.9,132,46,4,206,124,"Medium",73,11,"Yes","No"
378 | "377",16.27,141,60,19,319,92,"Good",44,11,"Yes","Yes"
379 | "378",6.81,132,61,0,263,125,"Medium",41,12,"No","No"
380 | "379",6.11,133,88,3,105,119,"Medium",79,12,"Yes","Yes"
381 | "380",5.81,125,111,0,404,107,"Bad",54,15,"Yes","No"
382 | "381",9.64,106,64,10,17,89,"Medium",68,17,"Yes","Yes"
383 | "382",3.9,124,65,21,496,151,"Bad",77,13,"Yes","Yes"
384 | "383",4.95,121,28,19,315,121,"Medium",66,14,"Yes","Yes"
385 | "384",9.35,98,117,0,76,68,"Medium",63,10,"Yes","No"
386 | "385",12.85,123,37,15,348,112,"Good",28,12,"Yes","Yes"
387 | "386",5.87,131,73,13,455,132,"Medium",62,17,"Yes","Yes"
388 | "387",5.32,152,116,0,170,160,"Medium",39,16,"Yes","No"
389 | "388",8.67,142,73,14,238,115,"Medium",73,14,"No","Yes"
390 | "389",8.14,135,89,11,245,78,"Bad",79,16,"Yes","Yes"
391 | "390",8.44,128,42,8,328,107,"Medium",35,12,"Yes","Yes"
392 | "391",5.47,108,75,9,61,111,"Medium",67,12,"Yes","Yes"
393 | "392",6.1,153,63,0,49,124,"Bad",56,16,"Yes","No"
394 | "393",4.53,129,42,13,315,130,"Bad",34,13,"Yes","Yes"
395 | "394",5.57,109,51,10,26,120,"Medium",30,17,"No","Yes"
396 | "395",5.35,130,58,19,366,139,"Bad",33,16,"Yes","Yes"
397 | "396",12.57,138,108,17,203,128,"Good",33,14,"Yes","Yes"
398 | "397",6.14,139,23,3,37,120,"Medium",55,11,"No","Yes"
399 | "398",7.41,162,26,12,368,159,"Medium",40,18,"Yes","Yes"
400 | "399",5.94,100,79,7,284,95,"Bad",50,12,"Yes","Yes"
401 | "400",9.71,134,37,0,27,120,"Good",49,16,"Yes","Yes"
402 |
--------------------------------------------------------------------------------
/data/Credit.csv:
--------------------------------------------------------------------------------
1 | "","Income","Limit","Rating","Cards","Age","Education","Gender","Student","Married","Ethnicity","Balance"
2 | "1",14.891,3606,283,2,34,11," Male","No","Yes","Caucasian",333
3 | "2",106.025,6645,483,3,82,15,"Female","Yes","Yes","Asian",903
4 | "3",104.593,7075,514,4,71,11," Male","No","No","Asian",580
5 | "4",148.924,9504,681,3,36,11,"Female","No","No","Asian",964
6 | "5",55.882,4897,357,2,68,16," Male","No","Yes","Caucasian",331
7 | "6",80.18,8047,569,4,77,10," Male","No","No","Caucasian",1151
8 | "7",20.996,3388,259,2,37,12,"Female","No","No","African American",203
9 | "8",71.408,7114,512,2,87,9," Male","No","No","Asian",872
10 | "9",15.125,3300,266,5,66,13,"Female","No","No","Caucasian",279
11 | "10",71.061,6819,491,3,41,19,"Female","Yes","Yes","African American",1350
12 | "11",63.095,8117,589,4,30,14," Male","No","Yes","Caucasian",1407
13 | "12",15.045,1311,138,3,64,16," Male","No","No","Caucasian",0
14 | "13",80.616,5308,394,1,57,7,"Female","No","Yes","Asian",204
15 | "14",43.682,6922,511,1,49,9," Male","No","Yes","Caucasian",1081
16 | "15",19.144,3291,269,2,75,13,"Female","No","No","African American",148
17 | "16",20.089,2525,200,3,57,15,"Female","No","Yes","African American",0
18 | "17",53.598,3714,286,3,73,17,"Female","No","Yes","African American",0
19 | "18",36.496,4378,339,3,69,15,"Female","No","Yes","Asian",368
20 | "19",49.57,6384,448,1,28,9,"Female","No","Yes","Asian",891
21 | "20",42.079,6626,479,2,44,9," Male","No","No","Asian",1048
22 | "21",17.7,2860,235,4,63,16,"Female","No","No","Asian",89
23 | "22",37.348,6378,458,1,72,17,"Female","No","No","Caucasian",968
24 | "23",20.103,2631,213,3,61,10," Male","No","Yes","African American",0
25 | "24",64.027,5179,398,5,48,8," Male","No","Yes","African American",411
26 | "25",10.742,1757,156,3,57,15,"Female","No","No","Caucasian",0
27 | "26",14.09,4323,326,5,25,16,"Female","No","Yes","African American",671
28 | "27",42.471,3625,289,6,44,12,"Female","Yes","No","Caucasian",654
29 | "28",32.793,4534,333,2,44,16," Male","No","No","African American",467
30 | "29",186.634,13414,949,2,41,14,"Female","No","Yes","African American",1809
31 | "30",26.813,5611,411,4,55,16,"Female","No","No","Caucasian",915
32 | "31",34.142,5666,413,4,47,5,"Female","No","Yes","Caucasian",863
33 | "32",28.941,2733,210,5,43,16," Male","No","Yes","Asian",0
34 | "33",134.181,7838,563,2,48,13,"Female","No","No","Caucasian",526
35 | "34",31.367,1829,162,4,30,10," Male","No","Yes","Caucasian",0
36 | "35",20.15,2646,199,2,25,14,"Female","No","Yes","Asian",0
37 | "36",23.35,2558,220,3,49,12,"Female","Yes","No","Caucasian",419
38 | "37",62.413,6457,455,2,71,11,"Female","No","Yes","Caucasian",762
39 | "38",30.007,6481,462,2,69,9,"Female","No","Yes","Caucasian",1093
40 | "39",11.795,3899,300,4,25,10,"Female","No","No","Caucasian",531
41 | "40",13.647,3461,264,4,47,14," Male","No","Yes","Caucasian",344
42 | "41",34.95,3327,253,3,54,14,"Female","No","No","African American",50
43 | "42",113.659,7659,538,2,66,15," Male","Yes","Yes","African American",1155
44 | "43",44.158,4763,351,2,66,13,"Female","No","Yes","Asian",385
45 | "44",36.929,6257,445,1,24,14,"Female","No","Yes","Asian",976
46 | "45",31.861,6375,469,3,25,16,"Female","No","Yes","Caucasian",1120
47 | "46",77.38,7569,564,3,50,12,"Female","No","Yes","Caucasian",997
48 | "47",19.531,5043,376,2,64,16,"Female","Yes","Yes","Asian",1241
49 | "48",44.646,4431,320,2,49,15," Male","Yes","Yes","Caucasian",797
50 | "49",44.522,2252,205,6,72,15," Male","No","Yes","Asian",0
51 | "50",43.479,4569,354,4,49,13," Male","Yes","Yes","African American",902
52 | "51",36.362,5183,376,3,49,15," Male","No","Yes","African American",654
53 | "52",39.705,3969,301,2,27,20," Male","No","Yes","African American",211
54 | "53",44.205,5441,394,1,32,12," Male","No","Yes","Caucasian",607
55 | "54",16.304,5466,413,4,66,10," Male","No","Yes","Asian",957
56 | "55",15.333,1499,138,2,47,9,"Female","No","Yes","Asian",0
57 | "56",32.916,1786,154,2,60,8,"Female","No","Yes","Asian",0
58 | "57",57.1,4742,372,7,79,18,"Female","No","Yes","Asian",379
59 | "58",76.273,4779,367,4,65,14,"Female","No","Yes","Caucasian",133
60 | "59",10.354,3480,281,2,70,17," Male","No","Yes","Caucasian",333
61 | "60",51.872,5294,390,4,81,17,"Female","No","No","Caucasian",531
62 | "61",35.51,5198,364,2,35,20,"Female","No","No","Asian",631
63 | "62",21.238,3089,254,3,59,10,"Female","No","No","Caucasian",108
64 | "63",30.682,1671,160,2,77,7,"Female","No","No","Caucasian",0
65 | "64",14.132,2998,251,4,75,17," Male","No","No","Caucasian",133
66 | "65",32.164,2937,223,2,79,15,"Female","No","Yes","African American",0
67 | "66",12,4160,320,4,28,14,"Female","No","Yes","Caucasian",602
68 | "67",113.829,9704,694,4,38,13,"Female","No","Yes","Asian",1388
69 | "68",11.187,5099,380,4,69,16,"Female","No","No","African American",889
70 | "69",27.847,5619,418,2,78,15,"Female","No","Yes","Caucasian",822
71 | "70",49.502,6819,505,4,55,14," Male","No","Yes","Caucasian",1084
72 | "71",24.889,3954,318,4,75,12," Male","No","Yes","Caucasian",357
73 | "72",58.781,7402,538,2,81,12,"Female","No","Yes","Asian",1103
74 | "73",22.939,4923,355,1,47,18,"Female","No","Yes","Asian",663
75 | "74",23.989,4523,338,4,31,15," Male","No","No","Caucasian",601
76 | "75",16.103,5390,418,4,45,10,"Female","No","Yes","Caucasian",945
77 | "76",33.017,3180,224,2,28,16," Male","No","Yes","African American",29
78 | "77",30.622,3293,251,1,68,16," Male","Yes","No","Caucasian",532
79 | "78",20.936,3254,253,1,30,15,"Female","No","No","Asian",145
80 | "79",110.968,6662,468,3,45,11,"Female","No","Yes","Caucasian",391
81 | "80",15.354,2101,171,2,65,14," Male","No","No","Asian",0
82 | "81",27.369,3449,288,3,40,9,"Female","No","Yes","Caucasian",162
83 | "82",53.48,4263,317,1,83,15," Male","No","No","Caucasian",99
84 | "83",23.672,4433,344,3,63,11," Male","No","No","Caucasian",503
85 | "84",19.225,1433,122,3,38,14,"Female","No","No","Caucasian",0
86 | "85",43.54,2906,232,4,69,11," Male","No","No","Caucasian",0
87 | "86",152.298,12066,828,4,41,12,"Female","No","Yes","Asian",1779
88 | "87",55.367,6340,448,1,33,15," Male","No","Yes","Caucasian",815
89 | "88",11.741,2271,182,4,59,12,"Female","No","No","Asian",0
90 | "89",15.56,4307,352,4,57,8," Male","No","Yes","African American",579
91 | "90",59.53,7518,543,3,52,9,"Female","No","No","African American",1176
92 | "91",20.191,5767,431,4,42,16," Male","No","Yes","African American",1023
93 | "92",48.498,6040,456,3,47,16," Male","No","Yes","Caucasian",812
94 | "93",30.733,2832,249,4,51,13," Male","No","No","Caucasian",0
95 | "94",16.479,5435,388,2,26,16," Male","No","No","African American",937
96 | "95",38.009,3075,245,3,45,15,"Female","No","No","African American",0
97 | "96",14.084,855,120,5,46,17,"Female","No","Yes","African American",0
98 | "97",14.312,5382,367,1,59,17," Male","Yes","No","Asian",1380
99 | "98",26.067,3388,266,4,74,17,"Female","No","Yes","African American",155
100 | "99",36.295,2963,241,2,68,14,"Female","Yes","No","African American",375
101 | "100",83.851,8494,607,5,47,18," Male","No","No","Caucasian",1311
102 | "101",21.153,3736,256,1,41,11," Male","No","No","Caucasian",298
103 | "102",17.976,2433,190,3,70,16,"Female","Yes","No","Caucasian",431
104 | "103",68.713,7582,531,2,56,16," Male","Yes","No","Caucasian",1587
105 | "104",146.183,9540,682,6,66,15," Male","No","No","Caucasian",1050
106 | "105",15.846,4768,365,4,53,12,"Female","No","No","Caucasian",745
107 | "106",12.031,3182,259,2,58,18,"Female","No","Yes","Caucasian",210
108 | "107",16.819,1337,115,2,74,15," Male","No","Yes","Asian",0
109 | "108",39.11,3189,263,3,72,12," Male","No","No","Asian",0
110 | "109",107.986,6033,449,4,64,14," Male","No","Yes","Caucasian",227
111 | "110",13.561,3261,279,5,37,19," Male","No","Yes","Asian",297
112 | "111",34.537,3271,250,3,57,17,"Female","No","Yes","Asian",47
113 | "112",28.575,2959,231,2,60,11,"Female","No","No","African American",0
114 | "113",46.007,6637,491,4,42,14," Male","No","Yes","Caucasian",1046
115 | "114",69.251,6386,474,4,30,12,"Female","No","Yes","Asian",768
116 | "115",16.482,3326,268,4,41,15," Male","No","No","Caucasian",271
117 | "116",40.442,4828,369,5,81,8,"Female","No","No","African American",510
118 | "117",35.177,2117,186,3,62,16,"Female","No","No","Caucasian",0
119 | "118",91.362,9113,626,1,47,17," Male","No","Yes","Asian",1341
120 | "119",27.039,2161,173,3,40,17,"Female","No","No","Caucasian",0
121 | "120",23.012,1410,137,3,81,16," Male","No","No","Caucasian",0
122 | "121",27.241,1402,128,2,67,15,"Female","No","Yes","Asian",0
123 | "122",148.08,8157,599,2,83,13," Male","No","Yes","Caucasian",454
124 | "123",62.602,7056,481,1,84,11,"Female","No","No","Caucasian",904
125 | "124",11.808,1300,117,3,77,14,"Female","No","No","African American",0
126 | "125",29.564,2529,192,1,30,12,"Female","No","Yes","Caucasian",0
127 | "126",27.578,2531,195,1,34,15,"Female","No","Yes","Caucasian",0
128 | "127",26.427,5533,433,5,50,15,"Female","Yes","Yes","Asian",1404
129 | "128",57.202,3411,259,3,72,11,"Female","No","No","Caucasian",0
130 | "129",123.299,8376,610,2,89,17," Male","Yes","No","African American",1259
131 | "130",18.145,3461,279,3,56,15," Male","No","Yes","African American",255
132 | "131",23.793,3821,281,4,56,12,"Female","Yes","Yes","African American",868
133 | "132",10.726,1568,162,5,46,19," Male","No","Yes","Asian",0
134 | "133",23.283,5443,407,4,49,13," Male","No","Yes","African American",912
135 | "134",21.455,5829,427,4,80,12,"Female","No","Yes","African American",1018
136 | "135",34.664,5835,452,3,77,15,"Female","No","Yes","African American",835
137 | "136",44.473,3500,257,3,81,16,"Female","No","No","African American",8
138 | "137",54.663,4116,314,2,70,8,"Female","No","No","African American",75
139 | "138",36.355,3613,278,4,35,9," Male","No","Yes","Asian",187
140 | "139",21.374,2073,175,2,74,11,"Female","No","Yes","Caucasian",0
141 | "140",107.841,10384,728,3,87,7," Male","No","No","African American",1597
142 | "141",39.831,6045,459,3,32,12,"Female","Yes","Yes","African American",1425
143 | "142",91.876,6754,483,2,33,10," Male","No","Yes","Caucasian",605
144 | "143",103.893,7416,549,3,84,17," Male","No","No","Asian",669
145 | "144",19.636,4896,387,3,64,10,"Female","No","No","African American",710
146 | "145",17.392,2748,228,3,32,14," Male","No","Yes","Caucasian",68
147 | "146",19.529,4673,341,2,51,14," Male","No","No","Asian",642
148 | "147",17.055,5110,371,3,55,15,"Female","No","Yes","Caucasian",805
149 | "148",23.857,1501,150,3,56,16," Male","No","Yes","Caucasian",0
150 | "149",15.184,2420,192,2,69,11,"Female","No","Yes","Caucasian",0
151 | "150",13.444,886,121,5,44,10," Male","No","Yes","Asian",0
152 | "151",63.931,5728,435,3,28,14,"Female","No","Yes","African American",581
153 | "152",35.864,4831,353,3,66,13,"Female","No","Yes","Caucasian",534
154 | "153",41.419,2120,184,4,24,11,"Female","Yes","No","Caucasian",156
155 | "154",92.112,4612,344,3,32,17," Male","No","No","Caucasian",0
156 | "155",55.056,3155,235,2,31,16," Male","No","Yes","African American",0
157 | "156",19.537,1362,143,4,34,9,"Female","No","Yes","Asian",0
158 | "157",31.811,4284,338,5,75,13,"Female","No","Yes","Caucasian",429
159 | "158",56.256,5521,406,2,72,16,"Female","Yes","Yes","Caucasian",1020
160 | "159",42.357,5550,406,2,83,12,"Female","No","Yes","Asian",653
161 | "160",53.319,3000,235,3,53,13," Male","No","No","Asian",0
162 | "161",12.238,4865,381,5,67,11,"Female","No","No","Caucasian",836
163 | "162",31.353,1705,160,3,81,14," Male","No","Yes","Caucasian",0
164 | "163",63.809,7530,515,1,56,12," Male","No","Yes","Caucasian",1086
165 | "164",13.676,2330,203,5,80,16,"Female","No","No","African American",0
166 | "165",76.782,5977,429,4,44,12," Male","No","Yes","Asian",548
167 | "166",25.383,4527,367,4,46,11," Male","No","Yes","Caucasian",570
168 | "167",35.691,2880,214,2,35,15," Male","No","No","African American",0
169 | "168",29.403,2327,178,1,37,14,"Female","No","Yes","Caucasian",0
170 | "169",27.47,2820,219,1,32,11,"Female","No","Yes","Asian",0
171 | "170",27.33,6179,459,4,36,12,"Female","No","Yes","Caucasian",1099
172 | "171",34.772,2021,167,3,57,9," Male","No","No","Asian",0
173 | "172",36.934,4270,299,1,63,9,"Female","No","Yes","Caucasian",283
174 | "173",76.348,4697,344,4,60,18," Male","No","No","Asian",108
175 | "174",14.887,4745,339,3,58,12," Male","No","Yes","African American",724
176 | "175",121.834,10673,750,3,54,16," Male","No","No","African American",1573
177 | "176",30.132,2168,206,3,52,17," Male","No","No","Caucasian",0
178 | "177",24.05,2607,221,4,32,18," Male","No","Yes","Caucasian",0
179 | "178",22.379,3965,292,2,34,14,"Female","No","Yes","Asian",384
180 | "179",28.316,4391,316,2,29,10,"Female","No","No","Caucasian",453
181 | "180",58.026,7499,560,5,67,11,"Female","No","No","Caucasian",1237
182 | "181",10.635,3584,294,5,69,16," Male","No","Yes","Asian",423
183 | "182",46.102,5180,382,3,81,12," Male","No","Yes","African American",516
184 | "183",58.929,6420,459,2,66,9,"Female","No","Yes","African American",789
185 | "184",80.861,4090,335,3,29,15,"Female","No","Yes","Asian",0
186 | "185",158.889,11589,805,1,62,17,"Female","No","Yes","Caucasian",1448
187 | "186",30.42,4442,316,1,30,14,"Female","No","No","African American",450
188 | "187",36.472,3806,309,2,52,13," Male","No","No","African American",188
189 | "188",23.365,2179,167,2,75,15," Male","No","No","Asian",0
190 | "189",83.869,7667,554,2,83,11," Male","No","No","African American",930
191 | "190",58.351,4411,326,2,85,16,"Female","No","Yes","Caucasian",126
192 | "191",55.187,5352,385,4,50,17,"Female","No","Yes","Caucasian",538
193 | "192",124.29,9560,701,3,52,17,"Female","Yes","No","Asian",1687
194 | "193",28.508,3933,287,4,56,14," Male","No","Yes","Asian",336
195 | "194",130.209,10088,730,7,39,19,"Female","No","Yes","Caucasian",1426
196 | "195",30.406,2120,181,2,79,14," Male","No","Yes","African American",0
197 | "196",23.883,5384,398,2,73,16,"Female","No","Yes","African American",802
198 | "197",93.039,7398,517,1,67,12," Male","No","Yes","African American",749
199 | "198",50.699,3977,304,2,84,17,"Female","No","No","African American",69
200 | "199",27.349,2000,169,4,51,16,"Female","No","Yes","African American",0
201 | "200",10.403,4159,310,3,43,7," Male","No","Yes","Asian",571
202 | "201",23.949,5343,383,2,40,18," Male","No","Yes","African American",829
203 | "202",73.914,7333,529,6,67,15,"Female","No","Yes","Caucasian",1048
204 | "203",21.038,1448,145,2,58,13,"Female","No","Yes","Caucasian",0
205 | "204",68.206,6784,499,5,40,16,"Female","Yes","No","African American",1411
206 | "205",57.337,5310,392,2,45,7,"Female","No","No","Caucasian",456
207 | "206",10.793,3878,321,8,29,13," Male","No","No","Caucasian",638
208 | "207",23.45,2450,180,2,78,13," Male","No","No","Caucasian",0
209 | "208",10.842,4391,358,5,37,10,"Female","Yes","Yes","Caucasian",1216
210 | "209",51.345,4327,320,3,46,15," Male","No","No","African American",230
211 | "210",151.947,9156,642,2,91,11,"Female","No","Yes","African American",732
212 | "211",24.543,3206,243,2,62,12,"Female","No","Yes","Caucasian",95
213 | "212",29.567,5309,397,3,25,15," Male","No","No","Caucasian",799
214 | "213",39.145,4351,323,2,66,13," Male","No","Yes","Caucasian",308
215 | "214",39.422,5245,383,2,44,19," Male","No","No","African American",637
216 | "215",34.909,5289,410,2,62,16,"Female","No","Yes","Caucasian",681
217 | "216",41.025,4229,337,3,79,19,"Female","No","Yes","Caucasian",246
218 | "217",15.476,2762,215,3,60,18," Male","No","No","Asian",52
219 | "218",12.456,5395,392,3,65,14," Male","No","Yes","Caucasian",955
220 | "219",10.627,1647,149,2,71,10,"Female","Yes","Yes","Asian",195
221 | "220",38.954,5222,370,4,76,13,"Female","No","No","Caucasian",653
222 | "221",44.847,5765,437,3,53,13,"Female","Yes","No","Asian",1246
223 | "222",98.515,8760,633,5,78,11,"Female","No","No","African American",1230
224 | "223",33.437,6207,451,4,44,9," Male","Yes","No","Caucasian",1549
225 | "224",27.512,4613,344,5,72,17," Male","No","Yes","Asian",573
226 | "225",121.709,7818,584,4,50,6," Male","No","Yes","Caucasian",701
227 | "226",15.079,5673,411,4,28,15,"Female","No","Yes","Asian",1075
228 | "227",59.879,6906,527,6,78,15,"Female","No","No","Caucasian",1032
229 | "228",66.989,5614,430,3,47,14,"Female","No","Yes","Caucasian",482
230 | "229",69.165,4668,341,2,34,11,"Female","No","No","African American",156
231 | "230",69.943,7555,547,3,76,9," Male","No","Yes","Asian",1058
232 | "231",33.214,5137,387,3,59,9," Male","No","No","African American",661
233 | "232",25.124,4776,378,4,29,12," Male","No","Yes","Caucasian",657
234 | "233",15.741,4788,360,1,39,14," Male","No","Yes","Asian",689
235 | "234",11.603,2278,187,3,71,11," Male","No","Yes","Caucasian",0
236 | "235",69.656,8244,579,3,41,14," Male","No","Yes","African American",1329
237 | "236",10.503,2923,232,3,25,18,"Female","No","Yes","African American",191
238 | "237",42.529,4986,369,2,37,11," Male","No","Yes","Asian",489
239 | "238",60.579,5149,388,5,38,15," Male","No","Yes","Asian",443
240 | "239",26.532,2910,236,6,58,19,"Female","No","Yes","Caucasian",52
241 | "240",27.952,3557,263,1,35,13,"Female","No","Yes","Asian",163
242 | "241",29.705,3351,262,5,71,14,"Female","No","Yes","Asian",148
243 | "242",15.602,906,103,2,36,11," Male","No","Yes","African American",0
244 | "243",20.918,1233,128,3,47,18,"Female","Yes","Yes","Asian",16
245 | "244",58.165,6617,460,1,56,12,"Female","No","Yes","Caucasian",856
246 | "245",22.561,1787,147,4,66,15,"Female","No","No","Caucasian",0
247 | "246",34.509,2001,189,5,80,18,"Female","No","Yes","African American",0
248 | "247",19.588,3211,265,4,59,14,"Female","No","No","Asian",199
249 | "248",36.364,2220,188,3,50,19," Male","No","No","Caucasian",0
250 | "249",15.717,905,93,1,38,16," Male","Yes","Yes","Caucasian",0
251 | "250",22.574,1551,134,3,43,13,"Female","Yes","Yes","Caucasian",98
252 | "251",10.363,2430,191,2,47,18,"Female","No","Yes","Asian",0
253 | "252",28.474,3202,267,5,66,12," Male","No","Yes","Caucasian",132
254 | "253",72.945,8603,621,3,64,8,"Female","No","No","Caucasian",1355
255 | "254",85.425,5182,402,6,60,12," Male","No","Yes","African American",218
256 | "255",36.508,6386,469,4,79,6,"Female","No","Yes","Caucasian",1048
257 | "256",58.063,4221,304,3,50,8," Male","No","No","African American",118
258 | "257",25.936,1774,135,2,71,14,"Female","No","No","Asian",0
259 | "258",15.629,2493,186,1,60,14," Male","No","Yes","Asian",0
260 | "259",41.4,2561,215,2,36,14," Male","No","Yes","Caucasian",0
261 | "260",33.657,6196,450,6,55,9,"Female","No","No","Caucasian",1092
262 | "261",67.937,5184,383,4,63,12," Male","No","Yes","Asian",345
263 | "262",180.379,9310,665,3,67,8,"Female","Yes","Yes","Asian",1050
264 | "263",10.588,4049,296,1,66,13,"Female","No","Yes","Caucasian",465
265 | "264",29.725,3536,270,2,52,15,"Female","No","No","African American",133
266 | "265",27.999,5107,380,1,55,10," Male","No","Yes","Caucasian",651
267 | "266",40.885,5013,379,3,46,13,"Female","No","Yes","African American",549
268 | "267",88.83,4952,360,4,86,16,"Female","No","Yes","Caucasian",15
269 | "268",29.638,5833,433,3,29,15,"Female","No","Yes","Asian",942
270 | "269",25.988,1349,142,4,82,12," Male","No","No","Caucasian",0
271 | "270",39.055,5565,410,4,48,18,"Female","No","Yes","Caucasian",772
272 | "271",15.866,3085,217,1,39,13," Male","No","No","Caucasian",136
273 | "272",44.978,4866,347,1,30,10,"Female","No","No","Caucasian",436
274 | "273",30.413,3690,299,2,25,15,"Female","Yes","No","Asian",728
275 | "274",16.751,4706,353,6,48,14," Male","Yes","No","Asian",1255
276 | "275",30.55,5869,439,5,81,9,"Female","No","No","African American",967
277 | "276",163.329,8732,636,3,50,14," Male","No","Yes","Caucasian",529
278 | "277",23.106,3476,257,2,50,15,"Female","No","No","Caucasian",209
279 | "278",41.532,5000,353,2,50,12," Male","No","Yes","Caucasian",531
280 | "279",128.04,6982,518,2,78,11,"Female","No","Yes","Caucasian",250
281 | "280",54.319,3063,248,3,59,8,"Female","Yes","No","Caucasian",269
282 | "281",53.401,5319,377,3,35,12,"Female","No","No","African American",541
283 | "282",36.142,1852,183,3,33,13,"Female","No","No","African American",0
284 | "283",63.534,8100,581,2,50,17,"Female","No","Yes","Caucasian",1298
285 | "284",49.927,6396,485,3,75,17,"Female","No","Yes","Caucasian",890
286 | "285",14.711,2047,167,2,67,6," Male","No","Yes","Caucasian",0
287 | "286",18.967,1626,156,2,41,11,"Female","No","Yes","Asian",0
288 | "287",18.036,1552,142,2,48,15,"Female","No","No","Caucasian",0
289 | "288",60.449,3098,272,4,69,8," Male","No","Yes","Caucasian",0
290 | "289",16.711,5274,387,3,42,16,"Female","No","Yes","Asian",863
291 | "290",10.852,3907,296,2,30,9," Male","No","No","Caucasian",485
292 | "291",26.37,3235,268,5,78,11," Male","No","Yes","Asian",159
293 | "292",24.088,3665,287,4,56,13,"Female","No","Yes","Caucasian",309
294 | "293",51.532,5096,380,2,31,15," Male","No","Yes","Caucasian",481
295 | "294",140.672,11200,817,7,46,9," Male","No","Yes","African American",1677
296 | "295",42.915,2532,205,4,42,13," Male","No","Yes","Asian",0
297 | "296",27.272,1389,149,5,67,10,"Female","No","Yes","Caucasian",0
298 | "297",65.896,5140,370,1,49,17,"Female","No","Yes","Caucasian",293
299 | "298",55.054,4381,321,3,74,17," Male","No","Yes","Asian",188
300 | "299",20.791,2672,204,1,70,18,"Female","No","No","African American",0
301 | "300",24.919,5051,372,3,76,11,"Female","No","Yes","African American",711
302 | "301",21.786,4632,355,1,50,17," Male","No","Yes","Caucasian",580
303 | "302",31.335,3526,289,3,38,7,"Female","No","No","Caucasian",172
304 | "303",59.855,4964,365,1,46,13,"Female","No","Yes","Caucasian",295
305 | "304",44.061,4970,352,1,79,11," Male","No","Yes","African American",414
306 | "305",82.706,7506,536,2,64,13,"Female","No","Yes","Asian",905
307 | "306",24.46,1924,165,2,50,14,"Female","No","Yes","Asian",0
308 | "307",45.12,3762,287,3,80,8," Male","No","Yes","Caucasian",70
309 | "308",75.406,3874,298,3,41,14,"Female","No","Yes","Asian",0
310 | "309",14.956,4640,332,2,33,6," Male","No","No","Asian",681
311 | "310",75.257,7010,494,3,34,18,"Female","No","Yes","Caucasian",885
312 | "311",33.694,4891,369,1,52,16," Male","Yes","No","African American",1036
313 | "312",23.375,5429,396,3,57,15,"Female","No","Yes","Caucasian",844
314 | "313",27.825,5227,386,6,63,11," Male","No","Yes","Caucasian",823
315 | "314",92.386,7685,534,2,75,18,"Female","No","Yes","Asian",843
316 | "315",115.52,9272,656,2,69,14," Male","No","No","African American",1140
317 | "316",14.479,3907,296,3,43,16," Male","No","Yes","Caucasian",463
318 | "317",52.179,7306,522,2,57,14," Male","No","No","Asian",1142
319 | "318",68.462,4712,340,2,71,16," Male","No","Yes","Caucasian",136
320 | "319",18.951,1485,129,3,82,13,"Female","No","No","Caucasian",0
321 | "320",27.59,2586,229,5,54,16," Male","No","Yes","African American",0
322 | "321",16.279,1160,126,3,78,13," Male","Yes","Yes","African American",5
323 | "322",25.078,3096,236,2,27,15,"Female","No","Yes","Caucasian",81
324 | "323",27.229,3484,282,6,51,11," Male","No","No","Caucasian",265
325 | "324",182.728,13913,982,4,98,17," Male","No","Yes","Caucasian",1999
326 | "325",31.029,2863,223,2,66,17," Male","Yes","Yes","Asian",415
327 | "326",17.765,5072,364,1,66,12,"Female","No","Yes","Caucasian",732
328 | "327",125.48,10230,721,3,82,16," Male","No","Yes","Caucasian",1361
329 | "328",49.166,6662,508,3,68,14,"Female","No","No","Asian",984
330 | "329",41.192,3673,297,3,54,16,"Female","No","Yes","Caucasian",121
331 | "330",94.193,7576,527,2,44,16,"Female","No","Yes","Caucasian",846
332 | "331",20.405,4543,329,2,72,17," Male","Yes","No","Asian",1054
333 | "332",12.581,3976,291,2,48,16," Male","No","Yes","Caucasian",474
334 | "333",62.328,5228,377,3,83,15," Male","No","No","Caucasian",380
335 | "334",21.011,3402,261,2,68,17," Male","No","Yes","African American",182
336 | "335",24.23,4756,351,2,64,15,"Female","No","Yes","Caucasian",594
337 | "336",24.314,3409,270,2,23,7,"Female","No","Yes","Caucasian",194
338 | "337",32.856,5884,438,4,68,13," Male","No","No","Caucasian",926
339 | "338",12.414,855,119,3,32,12," Male","No","Yes","African American",0
340 | "339",41.365,5303,377,1,45,14," Male","No","No","Caucasian",606
341 | "340",149.316,10278,707,1,80,16," Male","No","No","African American",1107
342 | "341",27.794,3807,301,4,35,8,"Female","No","Yes","African American",320
343 | "342",13.234,3922,299,2,77,17,"Female","No","Yes","Caucasian",426
344 | "343",14.595,2955,260,5,37,9," Male","No","Yes","African American",204
345 | "344",10.735,3746,280,2,44,17,"Female","No","Yes","Caucasian",410
346 | "345",48.218,5199,401,7,39,10," Male","No","Yes","Asian",633
347 | "346",30.012,1511,137,2,33,17," Male","No","Yes","Caucasian",0
348 | "347",21.551,5380,420,5,51,18," Male","No","Yes","Asian",907
349 | "348",160.231,10748,754,2,69,17," Male","No","No","Caucasian",1192
350 | "349",13.433,1134,112,3,70,14," Male","No","Yes","Caucasian",0
351 | "350",48.577,5145,389,3,71,13,"Female","No","Yes","Asian",503
352 | "351",30.002,1561,155,4,70,13,"Female","No","Yes","Caucasian",0
353 | "352",61.62,5140,374,1,71,9," Male","No","Yes","Caucasian",302
354 | "353",104.483,7140,507,2,41,14," Male","No","Yes","African American",583
355 | "354",41.868,4716,342,2,47,18," Male","No","No","Caucasian",425
356 | "355",12.068,3873,292,1,44,18,"Female","No","Yes","Asian",413
357 | "356",180.682,11966,832,2,58,8,"Female","No","Yes","African American",1405
358 | "357",34.48,6090,442,3,36,14," Male","No","No","Caucasian",962
359 | "358",39.609,2539,188,1,40,14," Male","No","Yes","Asian",0
360 | "359",30.111,4336,339,1,81,18," Male","No","Yes","Caucasian",347
361 | "360",12.335,4471,344,3,79,12," Male","No","Yes","African American",611
362 | "361",53.566,5891,434,4,82,10,"Female","No","No","Caucasian",712
363 | "362",53.217,4943,362,2,46,16,"Female","No","Yes","Asian",382
364 | "363",26.162,5101,382,3,62,19,"Female","No","No","African American",710
365 | "364",64.173,6127,433,1,80,10," Male","No","Yes","Caucasian",578
366 | "365",128.669,9824,685,3,67,16," Male","No","Yes","Asian",1243
367 | "366",113.772,6442,489,4,69,15," Male","Yes","Yes","Caucasian",790
368 | "367",61.069,7871,564,3,56,14," Male","No","Yes","Caucasian",1264
369 | "368",23.793,3615,263,2,70,14," Male","No","No","African American",216
370 | "369",89,5759,440,3,37,6,"Female","No","No","Caucasian",345
371 | "370",71.682,8028,599,3,57,16," Male","No","Yes","Caucasian",1208
372 | "371",35.61,6135,466,4,40,12," Male","No","No","Caucasian",992
373 | "372",39.116,2150,173,4,75,15," Male","No","No","Caucasian",0
374 | "373",19.782,3782,293,2,46,16,"Female","Yes","No","Caucasian",840
375 | "374",55.412,5354,383,2,37,16,"Female","Yes","Yes","Caucasian",1003
376 | "375",29.4,4840,368,3,76,18,"Female","No","Yes","Caucasian",588
377 | "376",20.974,5673,413,5,44,16,"Female","No","Yes","Caucasian",1000
378 | "377",87.625,7167,515,2,46,10,"Female","No","No","African American",767
379 | "378",28.144,1567,142,3,51,10," Male","No","Yes","Caucasian",0
380 | "379",19.349,4941,366,1,33,19," Male","No","Yes","Caucasian",717
381 | "380",53.308,2860,214,1,84,10," Male","No","Yes","Caucasian",0
382 | "381",115.123,7760,538,3,83,14,"Female","No","No","African American",661
383 | "382",101.788,8029,574,2,84,11," Male","No","Yes","Caucasian",849
384 | "383",24.824,5495,409,1,33,9," Male","Yes","No","Caucasian",1352
385 | "384",14.292,3274,282,9,64,9," Male","No","Yes","Caucasian",382
386 | "385",20.088,1870,180,3,76,16," Male","No","No","African American",0
387 | "386",26.4,5640,398,3,58,15,"Female","No","No","Asian",905
388 | "387",19.253,3683,287,4,57,10," Male","No","No","African American",371
389 | "388",16.529,1357,126,3,62,9," Male","No","No","Asian",0
390 | "389",37.878,6827,482,2,80,13,"Female","No","No","Caucasian",1129
391 | "390",83.948,7100,503,2,44,18," Male","No","No","Caucasian",806
392 | "391",135.118,10578,747,3,81,15,"Female","No","Yes","Asian",1393
393 | "392",73.327,6555,472,2,43,15,"Female","No","No","Caucasian",721
394 | "393",25.974,2308,196,2,24,10," Male","No","No","Asian",0
395 | "394",17.316,1335,138,2,65,13," Male","No","No","African American",0
396 | "395",49.794,5758,410,4,40,8," Male","No","No","Caucasian",734
397 | "396",12.096,4100,307,3,32,13," Male","No","Yes","Caucasian",560
398 | "397",13.364,3838,296,5,65,17," Male","No","No","African American",480
399 | "398",57.872,4171,321,5,67,12,"Female","No","Yes","Caucasian",138
400 | "399",37.728,2525,192,1,44,13," Male","No","Yes","Caucasian",0
401 | "400",18.701,5524,415,5,64,7,"Female","No","No","Asian",966
402 |
--------------------------------------------------------------------------------
/data/Heart.csv:
--------------------------------------------------------------------------------
1 | "","Age","Sex","ChestPain","RestBP","Chol","Fbs","RestECG","MaxHR","ExAng","Oldpeak","Slope","Ca","Thal","AHD"
2 | "1",63,1,"typical",145,233,1,2,150,0,2.3,3,0,"fixed","No"
3 | "2",67,1,"asymptomatic",160,286,0,2,108,1,1.5,2,3,"normal","Yes"
4 | "3",67,1,"asymptomatic",120,229,0,2,129,1,2.6,2,2,"reversable","Yes"
5 | "4",37,1,"nonanginal",130,250,0,0,187,0,3.5,3,0,"normal","No"
6 | "5",41,0,"nontypical",130,204,0,2,172,0,1.4,1,0,"normal","No"
7 | "6",56,1,"nontypical",120,236,0,0,178,0,0.8,1,0,"normal","No"
8 | "7",62,0,"asymptomatic",140,268,0,2,160,0,3.6,3,2,"normal","Yes"
9 | "8",57,0,"asymptomatic",120,354,0,0,163,1,0.6,1,0,"normal","No"
10 | "9",63,1,"asymptomatic",130,254,0,2,147,0,1.4,2,1,"reversable","Yes"
11 | "10",53,1,"asymptomatic",140,203,1,2,155,1,3.1,3,0,"reversable","Yes"
12 | "11",57,1,"asymptomatic",140,192,0,0,148,0,0.4,2,0,"fixed","No"
13 | "12",56,0,"nontypical",140,294,0,2,153,0,1.3,2,0,"normal","No"
14 | "13",56,1,"nonanginal",130,256,1,2,142,1,0.6,2,1,"fixed","Yes"
15 | "14",44,1,"nontypical",120,263,0,0,173,0,0,1,0,"reversable","No"
16 | "15",52,1,"nonanginal",172,199,1,0,162,0,0.5,1,0,"reversable","No"
17 | "16",57,1,"nonanginal",150,168,0,0,174,0,1.6,1,0,"normal","No"
18 | "17",48,1,"nontypical",110,229,0,0,168,0,1,3,0,"reversable","Yes"
19 | "18",54,1,"asymptomatic",140,239,0,0,160,0,1.2,1,0,"normal","No"
20 | "19",48,0,"nonanginal",130,275,0,0,139,0,0.2,1,0,"normal","No"
21 | "20",49,1,"nontypical",130,266,0,0,171,0,0.6,1,0,"normal","No"
22 | "21",64,1,"typical",110,211,0,2,144,1,1.8,2,0,"normal","No"
23 | "22",58,0,"typical",150,283,1,2,162,0,1,1,0,"normal","No"
24 | "23",58,1,"nontypical",120,284,0,2,160,0,1.8,2,0,"normal","Yes"
25 | "24",58,1,"nonanginal",132,224,0,2,173,0,3.2,1,2,"reversable","Yes"
26 | "25",60,1,"asymptomatic",130,206,0,2,132,1,2.4,2,2,"reversable","Yes"
27 | "26",50,0,"nonanginal",120,219,0,0,158,0,1.6,2,0,"normal","No"
28 | "27",58,0,"nonanginal",120,340,0,0,172,0,0,1,0,"normal","No"
29 | "28",66,0,"typical",150,226,0,0,114,0,2.6,3,0,"normal","No"
30 | "29",43,1,"asymptomatic",150,247,0,0,171,0,1.5,1,0,"normal","No"
31 | "30",40,1,"asymptomatic",110,167,0,2,114,1,2,2,0,"reversable","Yes"
32 | "31",69,0,"typical",140,239,0,0,151,0,1.8,1,2,"normal","No"
33 | "32",60,1,"asymptomatic",117,230,1,0,160,1,1.4,1,2,"reversable","Yes"
34 | "33",64,1,"nonanginal",140,335,0,0,158,0,0,1,0,"normal","Yes"
35 | "34",59,1,"asymptomatic",135,234,0,0,161,0,0.5,2,0,"reversable","No"
36 | "35",44,1,"nonanginal",130,233,0,0,179,1,0.4,1,0,"normal","No"
37 | "36",42,1,"asymptomatic",140,226,0,0,178,0,0,1,0,"normal","No"
38 | "37",43,1,"asymptomatic",120,177,0,2,120,1,2.5,2,0,"reversable","Yes"
39 | "38",57,1,"asymptomatic",150,276,0,2,112,1,0.6,2,1,"fixed","Yes"
40 | "39",55,1,"asymptomatic",132,353,0,0,132,1,1.2,2,1,"reversable","Yes"
41 | "40",61,1,"nonanginal",150,243,1,0,137,1,1,2,0,"normal","No"
42 | "41",65,0,"asymptomatic",150,225,0,2,114,0,1,2,3,"reversable","Yes"
43 | "42",40,1,"typical",140,199,0,0,178,1,1.4,1,0,"reversable","No"
44 | "43",71,0,"nontypical",160,302,0,0,162,0,0.4,1,2,"normal","No"
45 | "44",59,1,"nonanginal",150,212,1,0,157,0,1.6,1,0,"normal","No"
46 | "45",61,0,"asymptomatic",130,330,0,2,169,0,0,1,0,"normal","Yes"
47 | "46",58,1,"nonanginal",112,230,0,2,165,0,2.5,2,1,"reversable","Yes"
48 | "47",51,1,"nonanginal",110,175,0,0,123,0,0.6,1,0,"normal","No"
49 | "48",50,1,"asymptomatic",150,243,0,2,128,0,2.6,2,0,"reversable","Yes"
50 | "49",65,0,"nonanginal",140,417,1,2,157,0,0.8,1,1,"normal","No"
51 | "50",53,1,"nonanginal",130,197,1,2,152,0,1.2,3,0,"normal","No"
52 | "51",41,0,"nontypical",105,198,0,0,168,0,0,1,1,"normal","No"
53 | "52",65,1,"asymptomatic",120,177,0,0,140,0,0.4,1,0,"reversable","No"
54 | "53",44,1,"asymptomatic",112,290,0,2,153,0,0,1,1,"normal","Yes"
55 | "54",44,1,"nontypical",130,219,0,2,188,0,0,1,0,"normal","No"
56 | "55",60,1,"asymptomatic",130,253,0,0,144,1,1.4,1,1,"reversable","Yes"
57 | "56",54,1,"asymptomatic",124,266,0,2,109,1,2.2,2,1,"reversable","Yes"
58 | "57",50,1,"nonanginal",140,233,0,0,163,0,0.6,2,1,"reversable","Yes"
59 | "58",41,1,"asymptomatic",110,172,0,2,158,0,0,1,0,"reversable","Yes"
60 | "59",54,1,"nonanginal",125,273,0,2,152,0,0.5,3,1,"normal","No"
61 | "60",51,1,"typical",125,213,0,2,125,1,1.4,1,1,"normal","No"
62 | "61",51,0,"asymptomatic",130,305,0,0,142,1,1.2,2,0,"reversable","Yes"
63 | "62",46,0,"nonanginal",142,177,0,2,160,1,1.4,3,0,"normal","No"
64 | "63",58,1,"asymptomatic",128,216,0,2,131,1,2.2,2,3,"reversable","Yes"
65 | "64",54,0,"nonanginal",135,304,1,0,170,0,0,1,0,"normal","No"
66 | "65",54,1,"asymptomatic",120,188,0,0,113,0,1.4,2,1,"reversable","Yes"
67 | "66",60,1,"asymptomatic",145,282,0,2,142,1,2.8,2,2,"reversable","Yes"
68 | "67",60,1,"nonanginal",140,185,0,2,155,0,3,2,0,"normal","Yes"
69 | "68",54,1,"nonanginal",150,232,0,2,165,0,1.6,1,0,"reversable","No"
70 | "69",59,1,"asymptomatic",170,326,0,2,140,1,3.4,3,0,"reversable","Yes"
71 | "70",46,1,"nonanginal",150,231,0,0,147,0,3.6,2,0,"normal","Yes"
72 | "71",65,0,"nonanginal",155,269,0,0,148,0,0.8,1,0,"normal","No"
73 | "72",67,1,"asymptomatic",125,254,1,0,163,0,0.2,2,2,"reversable","Yes"
74 | "73",62,1,"asymptomatic",120,267,0,0,99,1,1.8,2,2,"reversable","Yes"
75 | "74",65,1,"asymptomatic",110,248,0,2,158,0,0.6,1,2,"fixed","Yes"
76 | "75",44,1,"asymptomatic",110,197,0,2,177,0,0,1,1,"normal","Yes"
77 | "76",65,0,"nonanginal",160,360,0,2,151,0,0.8,1,0,"normal","No"
78 | "77",60,1,"asymptomatic",125,258,0,2,141,1,2.8,2,1,"reversable","Yes"
79 | "78",51,0,"nonanginal",140,308,0,2,142,0,1.5,1,1,"normal","No"
80 | "79",48,1,"nontypical",130,245,0,2,180,0,0.2,2,0,"normal","No"
81 | "80",58,1,"asymptomatic",150,270,0,2,111,1,0.8,1,0,"reversable","Yes"
82 | "81",45,1,"asymptomatic",104,208,0,2,148,1,3,2,0,"normal","No"
83 | "82",53,0,"asymptomatic",130,264,0,2,143,0,0.4,2,0,"normal","No"
84 | "83",39,1,"nonanginal",140,321,0,2,182,0,0,1,0,"normal","No"
85 | "84",68,1,"nonanginal",180,274,1,2,150,1,1.6,2,0,"reversable","Yes"
86 | "85",52,1,"nontypical",120,325,0,0,172,0,0.2,1,0,"normal","No"
87 | "86",44,1,"nonanginal",140,235,0,2,180,0,0,1,0,"normal","No"
88 | "87",47,1,"nonanginal",138,257,0,2,156,0,0,1,0,"normal","No"
89 | "88",53,0,"nonanginal",128,216,0,2,115,0,0,1,0,NA,"No"
90 | "89",53,0,"asymptomatic",138,234,0,2,160,0,0,1,0,"normal","No"
91 | "90",51,0,"nonanginal",130,256,0,2,149,0,0.5,1,0,"normal","No"
92 | "91",66,1,"asymptomatic",120,302,0,2,151,0,0.4,2,0,"normal","No"
93 | "92",62,0,"asymptomatic",160,164,0,2,145,0,6.2,3,3,"reversable","Yes"
94 | "93",62,1,"nonanginal",130,231,0,0,146,0,1.8,2,3,"reversable","No"
95 | "94",44,0,"nonanginal",108,141,0,0,175,0,0.6,2,0,"normal","No"
96 | "95",63,0,"nonanginal",135,252,0,2,172,0,0,1,0,"normal","No"
97 | "96",52,1,"asymptomatic",128,255,0,0,161,1,0,1,1,"reversable","Yes"
98 | "97",59,1,"asymptomatic",110,239,0,2,142,1,1.2,2,1,"reversable","Yes"
99 | "98",60,0,"asymptomatic",150,258,0,2,157,0,2.6,2,2,"reversable","Yes"
100 | "99",52,1,"nontypical",134,201,0,0,158,0,0.8,1,1,"normal","No"
101 | "100",48,1,"asymptomatic",122,222,0,2,186,0,0,1,0,"normal","No"
102 | "101",45,1,"asymptomatic",115,260,0,2,185,0,0,1,0,"normal","No"
103 | "102",34,1,"typical",118,182,0,2,174,0,0,1,0,"normal","No"
104 | "103",57,0,"asymptomatic",128,303,0,2,159,0,0,1,1,"normal","No"
105 | "104",71,0,"nonanginal",110,265,1,2,130,0,0,1,1,"normal","No"
106 | "105",49,1,"nonanginal",120,188,0,0,139,0,2,2,3,"reversable","Yes"
107 | "106",54,1,"nontypical",108,309,0,0,156,0,0,1,0,"reversable","No"
108 | "107",59,1,"asymptomatic",140,177,0,0,162,1,0,1,1,"reversable","Yes"
109 | "108",57,1,"nonanginal",128,229,0,2,150,0,0.4,2,1,"reversable","Yes"
110 | "109",61,1,"asymptomatic",120,260,0,0,140,1,3.6,2,1,"reversable","Yes"
111 | "110",39,1,"asymptomatic",118,219,0,0,140,0,1.2,2,0,"reversable","Yes"
112 | "111",61,0,"asymptomatic",145,307,0,2,146,1,1,2,0,"reversable","Yes"
113 | "112",56,1,"asymptomatic",125,249,1,2,144,1,1.2,2,1,"normal","Yes"
114 | "113",52,1,"typical",118,186,0,2,190,0,0,2,0,"fixed","No"
115 | "114",43,0,"asymptomatic",132,341,1,2,136,1,3,2,0,"reversable","Yes"
116 | "115",62,0,"nonanginal",130,263,0,0,97,0,1.2,2,1,"reversable","Yes"
117 | "116",41,1,"nontypical",135,203,0,0,132,0,0,2,0,"fixed","No"
118 | "117",58,1,"nonanginal",140,211,1,2,165,0,0,1,0,"normal","No"
119 | "118",35,0,"asymptomatic",138,183,0,0,182,0,1.4,1,0,"normal","No"
120 | "119",63,1,"asymptomatic",130,330,1,2,132,1,1.8,1,3,"reversable","Yes"
121 | "120",65,1,"asymptomatic",135,254,0,2,127,0,2.8,2,1,"reversable","Yes"
122 | "121",48,1,"asymptomatic",130,256,1,2,150,1,0,1,2,"reversable","Yes"
123 | "122",63,0,"asymptomatic",150,407,0,2,154,0,4,2,3,"reversable","Yes"
124 | "123",51,1,"nonanginal",100,222,0,0,143,1,1.2,2,0,"normal","No"
125 | "124",55,1,"asymptomatic",140,217,0,0,111,1,5.6,3,0,"reversable","Yes"
126 | "125",65,1,"typical",138,282,1,2,174,0,1.4,2,1,"normal","Yes"
127 | "126",45,0,"nontypical",130,234,0,2,175,0,0.6,2,0,"normal","No"
128 | "127",56,0,"asymptomatic",200,288,1,2,133,1,4,3,2,"reversable","Yes"
129 | "128",54,1,"asymptomatic",110,239,0,0,126,1,2.8,2,1,"reversable","Yes"
130 | "129",44,1,"nontypical",120,220,0,0,170,0,0,1,0,"normal","No"
131 | "130",62,0,"asymptomatic",124,209,0,0,163,0,0,1,0,"normal","No"
132 | "131",54,1,"nonanginal",120,258,0,2,147,0,0.4,2,0,"reversable","No"
133 | "132",51,1,"nonanginal",94,227,0,0,154,1,0,1,1,"reversable","No"
134 | "133",29,1,"nontypical",130,204,0,2,202,0,0,1,0,"normal","No"
135 | "134",51,1,"asymptomatic",140,261,0,2,186,1,0,1,0,"normal","No"
136 | "135",43,0,"nonanginal",122,213,0,0,165,0,0.2,2,0,"normal","No"
137 | "136",55,0,"nontypical",135,250,0,2,161,0,1.4,2,0,"normal","No"
138 | "137",70,1,"asymptomatic",145,174,0,0,125,1,2.6,3,0,"reversable","Yes"
139 | "138",62,1,"nontypical",120,281,0,2,103,0,1.4,2,1,"reversable","Yes"
140 | "139",35,1,"asymptomatic",120,198,0,0,130,1,1.6,2,0,"reversable","Yes"
141 | "140",51,1,"nonanginal",125,245,1,2,166,0,2.4,2,0,"normal","No"
142 | "141",59,1,"nontypical",140,221,0,0,164,1,0,1,0,"normal","No"
143 | "142",59,1,"typical",170,288,0,2,159,0,0.2,2,0,"reversable","Yes"
144 | "143",52,1,"nontypical",128,205,1,0,184,0,0,1,0,"normal","No"
145 | "144",64,1,"nonanginal",125,309,0,0,131,1,1.8,2,0,"reversable","Yes"
146 | "145",58,1,"nonanginal",105,240,0,2,154,1,0.6,2,0,"reversable","No"
147 | "146",47,1,"nonanginal",108,243,0,0,152,0,0,1,0,"normal","Yes"
148 | "147",57,1,"asymptomatic",165,289,1,2,124,0,1,2,3,"reversable","Yes"
149 | "148",41,1,"nonanginal",112,250,0,0,179,0,0,1,0,"normal","No"
150 | "149",45,1,"nontypical",128,308,0,2,170,0,0,1,0,"normal","No"
151 | "150",60,0,"nonanginal",102,318,0,0,160,0,0,1,1,"normal","No"
152 | "151",52,1,"typical",152,298,1,0,178,0,1.2,2,0,"reversable","No"
153 | "152",42,0,"asymptomatic",102,265,0,2,122,0,0.6,2,0,"normal","No"
154 | "153",67,0,"nonanginal",115,564,0,2,160,0,1.6,2,0,"reversable","No"
155 | "154",55,1,"asymptomatic",160,289,0,2,145,1,0.8,2,1,"reversable","Yes"
156 | "155",64,1,"asymptomatic",120,246,0,2,96,1,2.2,3,1,"normal","Yes"
157 | "156",70,1,"asymptomatic",130,322,0,2,109,0,2.4,2,3,"normal","Yes"
158 | "157",51,1,"asymptomatic",140,299,0,0,173,1,1.6,1,0,"reversable","Yes"
159 | "158",58,1,"asymptomatic",125,300,0,2,171,0,0,1,2,"reversable","Yes"
160 | "159",60,1,"asymptomatic",140,293,0,2,170,0,1.2,2,2,"reversable","Yes"
161 | "160",68,1,"nonanginal",118,277,0,0,151,0,1,1,1,"reversable","No"
162 | "161",46,1,"nontypical",101,197,1,0,156,0,0,1,0,"reversable","No"
163 | "162",77,1,"asymptomatic",125,304,0,2,162,1,0,1,3,"normal","Yes"
164 | "163",54,0,"nonanginal",110,214,0,0,158,0,1.6,2,0,"normal","No"
165 | "164",58,0,"asymptomatic",100,248,0,2,122,0,1,2,0,"normal","No"
166 | "165",48,1,"nonanginal",124,255,1,0,175,0,0,1,2,"normal","No"
167 | "166",57,1,"asymptomatic",132,207,0,0,168,1,0,1,0,"reversable","No"
168 | "167",52,1,"nonanginal",138,223,0,0,169,0,0,1,NA,"normal","No"
169 | "168",54,0,"nontypical",132,288,1,2,159,1,0,1,1,"normal","No"
170 | "169",35,1,"asymptomatic",126,282,0,2,156,1,0,1,0,"reversable","Yes"
171 | "170",45,0,"nontypical",112,160,0,0,138,0,0,2,0,"normal","No"
172 | "171",70,1,"nonanginal",160,269,0,0,112,1,2.9,2,1,"reversable","Yes"
173 | "172",53,1,"asymptomatic",142,226,0,2,111,1,0,1,0,"reversable","No"
174 | "173",59,0,"asymptomatic",174,249,0,0,143,1,0,2,0,"normal","Yes"
175 | "174",62,0,"asymptomatic",140,394,0,2,157,0,1.2,2,0,"normal","No"
176 | "175",64,1,"asymptomatic",145,212,0,2,132,0,2,2,2,"fixed","Yes"
177 | "176",57,1,"asymptomatic",152,274,0,0,88,1,1.2,2,1,"reversable","Yes"
178 | "177",52,1,"asymptomatic",108,233,1,0,147,0,0.1,1,3,"reversable","No"
179 | "178",56,1,"asymptomatic",132,184,0,2,105,1,2.1,2,1,"fixed","Yes"
180 | "179",43,1,"nonanginal",130,315,0,0,162,0,1.9,1,1,"normal","No"
181 | "180",53,1,"nonanginal",130,246,1,2,173,0,0,1,3,"normal","No"
182 | "181",48,1,"asymptomatic",124,274,0,2,166,0,0.5,2,0,"reversable","Yes"
183 | "182",56,0,"asymptomatic",134,409,0,2,150,1,1.9,2,2,"reversable","Yes"
184 | "183",42,1,"typical",148,244,0,2,178,0,0.8,1,2,"normal","No"
185 | "184",59,1,"typical",178,270,0,2,145,0,4.2,3,0,"reversable","No"
186 | "185",60,0,"asymptomatic",158,305,0,2,161,0,0,1,0,"normal","Yes"
187 | "186",63,0,"nontypical",140,195,0,0,179,0,0,1,2,"normal","No"
188 | "187",42,1,"nonanginal",120,240,1,0,194,0,0.8,3,0,"reversable","No"
189 | "188",66,1,"nontypical",160,246,0,0,120,1,0,2,3,"fixed","Yes"
190 | "189",54,1,"nontypical",192,283,0,2,195,0,0,1,1,"reversable","Yes"
191 | "190",69,1,"nonanginal",140,254,0,2,146,0,2,2,3,"reversable","Yes"
192 | "191",50,1,"nonanginal",129,196,0,0,163,0,0,1,0,"normal","No"
193 | "192",51,1,"asymptomatic",140,298,0,0,122,1,4.2,2,3,"reversable","Yes"
194 | "193",43,1,"asymptomatic",132,247,1,2,143,1,0.1,2,NA,"reversable","Yes"
195 | "194",62,0,"asymptomatic",138,294,1,0,106,0,1.9,2,3,"normal","Yes"
196 | "195",68,0,"nonanginal",120,211,0,2,115,0,1.5,2,0,"normal","No"
197 | "196",67,1,"asymptomatic",100,299,0,2,125,1,0.9,2,2,"normal","Yes"
198 | "197",69,1,"typical",160,234,1,2,131,0,0.1,2,1,"normal","No"
199 | "198",45,0,"asymptomatic",138,236,0,2,152,1,0.2,2,0,"normal","No"
200 | "199",50,0,"nontypical",120,244,0,0,162,0,1.1,1,0,"normal","No"
201 | "200",59,1,"typical",160,273,0,2,125,0,0,1,0,"normal","Yes"
202 | "201",50,0,"asymptomatic",110,254,0,2,159,0,0,1,0,"normal","No"
203 | "202",64,0,"asymptomatic",180,325,0,0,154,1,0,1,0,"normal","No"
204 | "203",57,1,"nonanginal",150,126,1,0,173,0,0.2,1,1,"reversable","No"
205 | "204",64,0,"nonanginal",140,313,0,0,133,0,0.2,1,0,"reversable","No"
206 | "205",43,1,"asymptomatic",110,211,0,0,161,0,0,1,0,"reversable","No"
207 | "206",45,1,"asymptomatic",142,309,0,2,147,1,0,2,3,"reversable","Yes"
208 | "207",58,1,"asymptomatic",128,259,0,2,130,1,3,2,2,"reversable","Yes"
209 | "208",50,1,"asymptomatic",144,200,0,2,126,1,0.9,2,0,"reversable","Yes"
210 | "209",55,1,"nontypical",130,262,0,0,155,0,0,1,0,"normal","No"
211 | "210",62,0,"asymptomatic",150,244,0,0,154,1,1.4,2,0,"normal","Yes"
212 | "211",37,0,"nonanginal",120,215,0,0,170,0,0,1,0,"normal","No"
213 | "212",38,1,"typical",120,231,0,0,182,1,3.8,2,0,"reversable","Yes"
214 | "213",41,1,"nonanginal",130,214,0,2,168,0,2,2,0,"normal","No"
215 | "214",66,0,"asymptomatic",178,228,1,0,165,1,1,2,2,"reversable","Yes"
216 | "215",52,1,"asymptomatic",112,230,0,0,160,0,0,1,1,"normal","Yes"
217 | "216",56,1,"typical",120,193,0,2,162,0,1.9,2,0,"reversable","No"
218 | "217",46,0,"nontypical",105,204,0,0,172,0,0,1,0,"normal","No"
219 | "218",46,0,"asymptomatic",138,243,0,2,152,1,0,2,0,"normal","No"
220 | "219",64,0,"asymptomatic",130,303,0,0,122,0,2,2,2,"normal","No"
221 | "220",59,1,"asymptomatic",138,271,0,2,182,0,0,1,0,"normal","No"
222 | "221",41,0,"nonanginal",112,268,0,2,172,1,0,1,0,"normal","No"
223 | "222",54,0,"nonanginal",108,267,0,2,167,0,0,1,0,"normal","No"
224 | "223",39,0,"nonanginal",94,199,0,0,179,0,0,1,0,"normal","No"
225 | "224",53,1,"asymptomatic",123,282,0,0,95,1,2,2,2,"reversable","Yes"
226 | "225",63,0,"asymptomatic",108,269,0,0,169,1,1.8,2,2,"normal","Yes"
227 | "226",34,0,"nontypical",118,210,0,0,192,0,0.7,1,0,"normal","No"
228 | "227",47,1,"asymptomatic",112,204,0,0,143,0,0.1,1,0,"normal","No"
229 | "228",67,0,"nonanginal",152,277,0,0,172,0,0,1,1,"normal","No"
230 | "229",54,1,"asymptomatic",110,206,0,2,108,1,0,2,1,"normal","Yes"
231 | "230",66,1,"asymptomatic",112,212,0,2,132,1,0.1,1,1,"normal","Yes"
232 | "231",52,0,"nonanginal",136,196,0,2,169,0,0.1,2,0,"normal","No"
233 | "232",55,0,"asymptomatic",180,327,0,1,117,1,3.4,2,0,"normal","Yes"
234 | "233",49,1,"nonanginal",118,149,0,2,126,0,0.8,1,3,"normal","Yes"
235 | "234",74,0,"nontypical",120,269,0,2,121,1,0.2,1,1,"normal","No"
236 | "235",54,0,"nonanginal",160,201,0,0,163,0,0,1,1,"normal","No"
237 | "236",54,1,"asymptomatic",122,286,0,2,116,1,3.2,2,2,"normal","Yes"
238 | "237",56,1,"asymptomatic",130,283,1,2,103,1,1.6,3,0,"reversable","Yes"
239 | "238",46,1,"asymptomatic",120,249,0,2,144,0,0.8,1,0,"reversable","Yes"
240 | "239",49,0,"nontypical",134,271,0,0,162,0,0,2,0,"normal","No"
241 | "240",42,1,"nontypical",120,295,0,0,162,0,0,1,0,"normal","No"
242 | "241",41,1,"nontypical",110,235,0,0,153,0,0,1,0,"normal","No"
243 | "242",41,0,"nontypical",126,306,0,0,163,0,0,1,0,"normal","No"
244 | "243",49,0,"asymptomatic",130,269,0,0,163,0,0,1,0,"normal","No"
245 | "244",61,1,"typical",134,234,0,0,145,0,2.6,2,2,"normal","Yes"
246 | "245",60,0,"nonanginal",120,178,1,0,96,0,0,1,0,"normal","No"
247 | "246",67,1,"asymptomatic",120,237,0,0,71,0,1,2,0,"normal","Yes"
248 | "247",58,1,"asymptomatic",100,234,0,0,156,0,0.1,1,1,"reversable","Yes"
249 | "248",47,1,"asymptomatic",110,275,0,2,118,1,1,2,1,"normal","Yes"
250 | "249",52,1,"asymptomatic",125,212,0,0,168,0,1,1,2,"reversable","Yes"
251 | "250",62,1,"nontypical",128,208,1,2,140,0,0,1,0,"normal","No"
252 | "251",57,1,"asymptomatic",110,201,0,0,126,1,1.5,2,0,"fixed","No"
253 | "252",58,1,"asymptomatic",146,218,0,0,105,0,2,2,1,"reversable","Yes"
254 | "253",64,1,"asymptomatic",128,263,0,0,105,1,0.2,2,1,"reversable","No"
255 | "254",51,0,"nonanginal",120,295,0,2,157,0,0.6,1,0,"normal","No"
256 | "255",43,1,"asymptomatic",115,303,0,0,181,0,1.2,2,0,"normal","No"
257 | "256",42,0,"nonanginal",120,209,0,0,173,0,0,2,0,"normal","No"
258 | "257",67,0,"asymptomatic",106,223,0,0,142,0,0.3,1,2,"normal","No"
259 | "258",76,0,"nonanginal",140,197,0,1,116,0,1.1,2,0,"normal","No"
260 | "259",70,1,"nontypical",156,245,0,2,143,0,0,1,0,"normal","No"
261 | "260",57,1,"nontypical",124,261,0,0,141,0,0.3,1,0,"reversable","Yes"
262 | "261",44,0,"nonanginal",118,242,0,0,149,0,0.3,2,1,"normal","No"
263 | "262",58,0,"nontypical",136,319,1,2,152,0,0,1,2,"normal","Yes"
264 | "263",60,0,"typical",150,240,0,0,171,0,0.9,1,0,"normal","No"
265 | "264",44,1,"nonanginal",120,226,0,0,169,0,0,1,0,"normal","No"
266 | "265",61,1,"asymptomatic",138,166,0,2,125,1,3.6,2,1,"normal","Yes"
267 | "266",42,1,"asymptomatic",136,315,0,0,125,1,1.8,2,0,"fixed","Yes"
268 | "267",52,1,"asymptomatic",128,204,1,0,156,1,1,2,0,NA,"Yes"
269 | "268",59,1,"nonanginal",126,218,1,0,134,0,2.2,2,1,"fixed","Yes"
270 | "269",40,1,"asymptomatic",152,223,0,0,181,0,0,1,0,"reversable","Yes"
271 | "270",42,1,"nonanginal",130,180,0,0,150,0,0,1,0,"normal","No"
272 | "271",61,1,"asymptomatic",140,207,0,2,138,1,1.9,1,1,"reversable","Yes"
273 | "272",66,1,"asymptomatic",160,228,0,2,138,0,2.3,1,0,"fixed","No"
274 | "273",46,1,"asymptomatic",140,311,0,0,120,1,1.8,2,2,"reversable","Yes"
275 | "274",71,0,"asymptomatic",112,149,0,0,125,0,1.6,2,0,"normal","No"
276 | "275",59,1,"typical",134,204,0,0,162,0,0.8,1,2,"normal","Yes"
277 | "276",64,1,"typical",170,227,0,2,155,0,0.6,2,0,"reversable","No"
278 | "277",66,0,"nonanginal",146,278,0,2,152,0,0,2,1,"normal","No"
279 | "278",39,0,"nonanginal",138,220,0,0,152,0,0,2,0,"normal","No"
280 | "279",57,1,"nontypical",154,232,0,2,164,0,0,1,1,"normal","Yes"
281 | "280",58,0,"asymptomatic",130,197,0,0,131,0,0.6,2,0,"normal","No"
282 | "281",57,1,"asymptomatic",110,335,0,0,143,1,3,2,1,"reversable","Yes"
283 | "282",47,1,"nonanginal",130,253,0,0,179,0,0,1,0,"normal","No"
284 | "283",55,0,"asymptomatic",128,205,0,1,130,1,2,2,1,"reversable","Yes"
285 | "284",35,1,"nontypical",122,192,0,0,174,0,0,1,0,"normal","No"
286 | "285",61,1,"asymptomatic",148,203,0,0,161,0,0,1,1,"reversable","Yes"
287 | "286",58,1,"asymptomatic",114,318,0,1,140,0,4.4,3,3,"fixed","Yes"
288 | "287",58,0,"asymptomatic",170,225,1,2,146,1,2.8,2,2,"fixed","Yes"
289 | "288",58,1,"nontypical",125,220,0,0,144,0,0.4,2,NA,"reversable","No"
290 | "289",56,1,"nontypical",130,221,0,2,163,0,0,1,0,"reversable","No"
291 | "290",56,1,"nontypical",120,240,0,0,169,0,0,3,0,"normal","No"
292 | "291",67,1,"nonanginal",152,212,0,2,150,0,0.8,2,0,"reversable","Yes"
293 | "292",55,0,"nontypical",132,342,0,0,166,0,1.2,1,0,"normal","No"
294 | "293",44,1,"asymptomatic",120,169,0,0,144,1,2.8,3,0,"fixed","Yes"
295 | "294",63,1,"asymptomatic",140,187,0,2,144,1,4,1,2,"reversable","Yes"
296 | "295",63,0,"asymptomatic",124,197,0,0,136,1,0,2,0,"normal","Yes"
297 | "296",41,1,"nontypical",120,157,0,0,182,0,0,1,0,"normal","No"
298 | "297",59,1,"asymptomatic",164,176,1,2,90,0,1,2,2,"fixed","Yes"
299 | "298",57,0,"asymptomatic",140,241,0,0,123,1,0.2,2,0,"reversable","Yes"
300 | "299",45,1,"typical",110,264,0,0,132,0,1.2,2,0,"reversable","Yes"
301 | "300",68,1,"asymptomatic",144,193,1,0,141,0,3.4,2,2,"reversable","Yes"
302 | "301",57,1,"asymptomatic",130,131,0,0,115,1,1.2,2,1,"reversable","Yes"
303 | "302",57,0,"nontypical",130,236,0,2,174,0,0,2,1,"normal","Yes"
304 | "303",38,1,"nonanginal",138,175,0,0,173,0,0,1,NA,"normal","No"
305 |
--------------------------------------------------------------------------------
/data/Income1.csv:
--------------------------------------------------------------------------------
1 | "","Education","Income"
2 | "1",10,26.6588387834389
3 | "2",10.4013377926421,27.3064353457772
4 | "3",10.8428093645485,22.1324101716143
5 | "4",11.2441471571906,21.1698405046065
6 | "5",11.6454849498328,15.1926335164307
7 | "6",12.0869565217391,26.3989510407284
8 | "7",12.4882943143813,17.435306578572
9 | "8",12.8896321070234,25.5078852305278
10 | "9",13.2909698996656,36.884594694235
11 | "10",13.7324414715719,39.666108747637
12 | "11",14.133779264214,34.3962805641312
13 | "12",14.5351170568562,41.4979935356871
14 | "13",14.9765886287625,44.9815748660704
15 | "14",15.3779264214047,47.039595257834
16 | "15",15.7792642140468,48.2525782901863
17 | "16",16.2207357859532,57.0342513373801
18 | "17",16.6220735785953,51.4909192102538
19 | "18",17.0234113712375,61.3366205527288
20 | "19",17.4648829431438,57.581988179306
21 | "20",17.866220735786,68.5537140185881
22 | "21",18.2675585284281,64.310925303692
23 | "22",18.7090301003344,68.9590086393083
24 | "23",19.1103678929766,74.6146392793647
25 | "24",19.5117056856187,71.8671953042483
26 | "25",19.9130434782609,76.098135379724
27 | "26",20.3545150501672,75.77521802986
28 | "27",20.7558528428094,72.4860553152424
29 | "28",21.1571906354515,77.3550205741877
30 | "29",21.5986622073579,72.1187904524136
31 | "30",22,80.2605705009016
32 |
--------------------------------------------------------------------------------
/data/Income2.csv:
--------------------------------------------------------------------------------
1 | "","Education","Seniority","Income"
2 | "1",21.5862068965517,113.103448275862,99.9171726114381
3 | "2",18.2758620689655,119.310344827586,92.579134855529
4 | "3",12.0689655172414,100.689655172414,34.6787271520874
5 | "4",17.0344827586207,187.586206896552,78.7028062353695
6 | "5",19.9310344827586,20,68.0099216471551
7 | "6",18.2758620689655,26.2068965517241,71.5044853814318
8 | "7",19.9310344827586,150.344827586207,87.9704669939115
9 | "8",21.1724137931034,82.0689655172414,79.8110298331255
10 | "9",20.3448275862069,88.2758620689655,90.00632710858
11 | "10",10,113.103448275862,45.6555294997364
12 | "11",13.7241379310345,51.0344827586207,31.9138079371295
13 | "12",18.6896551724138,144.137931034483,96.2829968022869
14 | "13",11.6551724137931,20,27.9825049000603
15 | "14",16.6206896551724,94.4827586206897,66.601792415137
16 | "15",10,187.586206896552,41.5319924201478
17 | "16",20.3448275862069,94.4827586206897,89.00070081522
18 | "17",14.1379310344828,20,28.8163007592387
19 | "18",16.6206896551724,44.8275862068966,57.6816942573605
20 | "19",16.6206896551724,175.172413793103,70.1050960424457
21 | "20",20.3448275862069,187.586206896552,98.8340115435447
22 | "21",18.2758620689655,100.689655172414,74.7046991976891
23 | "22",14.551724137931,137.931034482759,53.5321056283034
24 | "23",17.448275862069,94.4827586206897,72.0789236655191
25 | "24",10.4137931034483,32.4137931034483,18.5706650327685
26 | "25",21.5862068965517,20,78.8057842852386
27 | "26",11.2413793103448,44.8275862068966,21.388561306174
28 | "27",19.9310344827586,168.965517241379,90.8140351180409
29 | "28",11.6551724137931,57.2413793103448,22.6361626208955
30 | "29",12.0689655172414,32.4137931034483,17.613593041445
31 | "30",17.0344827586207,106.896551724138,74.6109601985289
32 |
--------------------------------------------------------------------------------
/data/Portfolio.csv:
--------------------------------------------------------------------------------
1 | "","X","Y"
2 | "1",-0.895250889141557,-0.234923525765402
3 | "2",-1.5624543274753,-0.885175993044695
4 | "3",-0.417089883126492,0.271888018049829
5 | "4",1.04435572526951,-0.734197504067649
6 | "5",-0.315568406681027,0.841983429961188
7 | "6",-1.73712384902476,-2.03719104074984
8 | "7",1.96641315717111,1.45295666192369
9 | "8",2.1528678980109,-0.434138628179502
10 | "9",-0.0812080267602958,1.45080850218963
11 | "10",-0.891781794029037,0.821016234539977
12 | "11",-0.293201702010266,-1.04239112183501
13 | "12",0.50577917106943,0.608477825846609
14 | "13",0.52675125409276,-0.222493343282789
15 | "14",1.06646932095091,1.2313566752569
16 | "15",0.294015895063748,0.628589480036184
17 | "16",0.0425492997633765,-1.26757361755317
18 | "17",1.83096958062302,-0.572751605498511
19 | "18",-0.32693749887808,-0.487472465045569
20 | "19",0.521480415807099,2.56598528732423
21 | "20",1.39986834733422,-0.35783612748179
22 | "21",-0.645447596468841,-1.41243138949505
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/notebooks/Ch5_Resampling_Methods/Applied/Ch5_Ex6.ipynb:
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1 | {
2 | "cells": [
3 | {
4 | "cell_type": "markdown",
5 | "metadata": {},
6 | "source": [
7 | "# ISLR-Python Ch5 Applied 6 "
8 | ]
9 | },
10 | {
11 | "cell_type": "markdown",
12 | "metadata": {},
13 | "source": [
14 | "- [Load Default Dataset](#Load-Default-Dataset)\n",
15 | "- [A. Compute Standard Errors of Coeffecients](#A.-Compute-Standard-Errors-of-Coeffecients)\n",
16 | "- [B. Write Function to Generate Coeffecient Estimates](#B.-Write-Function-to-Generate-Coeffecient-Estimates)\n",
17 | "- [C-D. Bootstrap Coeffecient Standard Errors and Compare](#C-D.-Bootstrap-Coeffecient-Standard-Errors-and-Compare)"
18 | ]
19 | },
20 | {
21 | "cell_type": "code",
22 | "execution_count": 20,
23 | "metadata": {
24 | "collapsed": true
25 | },
26 | "outputs": [],
27 | "source": [
28 | "## perform imports and set-up\n",
29 | "import numpy as np\n",
30 | "import pandas as pd\n",
31 | "import scipy\n",
32 | "import statsmodels.api as sm\n",
33 | "\n",
34 | "from matplotlib import pyplot as plt\n",
35 | "\n",
36 | "%matplotlib inline\n",
37 | "plt.style.use('ggplot') # emulate pretty r-style plots\n",
38 | "\n",
39 | "# print numpy arrays with precision 4\n",
40 | "np.set_printoptions(precision=4)"
41 | ]
42 | },
43 | {
44 | "cell_type": "markdown",
45 | "metadata": {},
46 | "source": [
47 | "## Load Default Dataset"
48 | ]
49 | },
50 | {
51 | "cell_type": "code",
52 | "execution_count": 3,
53 | "metadata": {
54 | "collapsed": false
55 | },
56 | "outputs": [
57 | {
58 | "name": "stdout",
59 | "output_type": "stream",
60 | "text": [
61 | "10000\n"
62 | ]
63 | },
64 | {
65 | "data": {
66 | "text/html": [
67 | "\n",
68 | "
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69 | " \n",
70 | " \n",
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74 | " balance | \n",
75 | " income | \n",
76 | "
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77 | " \n",
78 | " \n",
79 | " \n",
80 | " | 1 | \n",
81 | " False | \n",
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\n",
116 | "
\n",
62 | "
\n",
63 | " \n",
64 | " \n",
65 | " | \n",
66 | " Year | \n",
67 | " Lag1 | \n",
68 | " Lag2 | \n",
69 | " Lag3 | \n",
70 | " Lag4 | \n",
71 | " Lag5 | \n",
72 | " Volume | \n",
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109 | " -3.936 | \n",
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111 | " 3.514 | \n",
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\n",
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128 | " 1990 | \n",
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132 | " -0.270 | \n",
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135 | " 1.178 | \n",
136 | " True | \n",
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138 | " \n",
139 | "
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140 | "
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56 | "
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57 | " \n",
58 | " \n",
59 | " | \n",
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61 | " zn | \n",
62 | " indus | \n",
63 | " chas | \n",
64 | " nox | \n",
65 | " rm | \n",
66 | " age | \n",
67 | " dis | \n",
68 | " rad | \n",
69 | " tax | \n",
70 | " ptratio | \n",
71 | " black | \n",
72 | " lstat | \n",
73 | " medv | \n",
74 | "
\n",
75 | " \n",
76 | " \n",
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78 | " | 1 | \n",
79 | " 0.00632 | \n",
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81 | " 2.31 | \n",
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85 | " 65.2 | \n",
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89 | " 15.3 | \n",
90 | " 396.90 | \n",
91 | " 4.98 | \n",
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95 | " | 2 | \n",
96 | " 0.02731 | \n",
97 | " 0 | \n",
98 | " 7.07 | \n",
99 | " 0 | \n",
100 | " 0.469 | \n",
101 | " 6.421 | \n",
102 | " 78.9 | \n",
103 | " 4.9671 | \n",
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105 | " 242 | \n",
106 | " 17.8 | \n",
107 | " 396.90 | \n",
108 | " 9.14 | \n",
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112 | " | 3 | \n",
113 | " 0.02729 | \n",
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119 | " 61.1 | \n",
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122 | " 242 | \n",
123 | " 17.8 | \n",
124 | " 392.83 | \n",
125 | " 4.03 | \n",
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128 | " \n",
129 | " | 4 | \n",
130 | " 0.03237 | \n",
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132 | " 2.18 | \n",
133 | " 0 | \n",
134 | " 0.458 | \n",
135 | " 6.998 | \n",
136 | " 45.8 | \n",
137 | " 6.0622 | \n",
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139 | " 222 | \n",
140 | " 18.7 | \n",
141 | " 394.63 | \n",
142 | " 2.94 | \n",
143 | " 33.4 | \n",
144 | "
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145 | " \n",
146 | " | 5 | \n",
147 | " 0.06905 | \n",
148 | " 0 | \n",
149 | " 2.18 | \n",
150 | " 0 | \n",
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156 | " 222 | \n",
157 | " 18.7 | \n",
158 | " 396.90 | \n",
159 | " 5.33 | \n",
160 | " 36.2 | \n",
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162 | " \n",
163 | "
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164 | "
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63 | "
\n",
64 | " \n",
65 | " \n",
66 | " | \n",
67 | " MOSTYPE | \n",
68 | " MAANTHUI | \n",
69 | " MGEMOMV | \n",
70 | " MGEMLEEF | \n",
71 | " MOSHOOFD | \n",
72 | " MGODRK | \n",
73 | " MGODPR | \n",
74 | " MGODOV | \n",
75 | " MGODGE | \n",
76 | " MRELGE | \n",
77 | " ... | \n",
78 | " APERSONG | \n",
79 | " AGEZONG | \n",
80 | " AWAOREG | \n",
81 | " ABRAND | \n",
82 | " AZEILPL | \n",
83 | " APLEZIER | \n",
84 | " AFIETS | \n",
85 | " AINBOED | \n",
86 | " ABYSTAND | \n",
87 | " Purchase | \n",
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90 | " \n",
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213 | "
5 rows × 86 columns
\n",
214 | "
\n",
311 | "
\n",
312 | " \n",
313 | " \n",
314 | " | \n",
315 | " Importance | \n",
316 | "
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317 | " \n",
318 | " \n",
319 | " \n",
320 | " | MOSTYPE | \n",
321 | " 0.073911 | \n",
322 | "
\n",
323 | " \n",
324 | " | MGODGE | \n",
325 | " 0.045734 | \n",
326 | "
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327 | " \n",
328 | " | MOPLHOOG | \n",
329 | " 0.044637 | \n",
330 | "
\n",
331 | " \n",
332 | " | PPERSAUT | \n",
333 | " 0.040973 | \n",
334 | "
\n",
335 | " \n",
336 | " | MKOOPKLA | \n",
337 | " 0.040659 | \n",
338 | "
\n",
339 | " \n",
340 | " | ABRAND | \n",
341 | " 0.039156 | \n",
342 | "
\n",
343 | " \n",
344 | " | PLEVEN | \n",
345 | " 0.035447 | \n",
346 | "
\n",
347 | " \n",
348 | " | PWAPART | \n",
349 | " 0.033261 | \n",
350 | "
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351 | " \n",
352 | "
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353 | "
samples = 200
value = 7.3813>, fillcolor="#e5813981"] ;
5 | 1 [label=mse = 6.8808
samples = 146
value = 8.2069>, fillcolor="#e5813994"] ;
6 | 0 -> 1 [labeldistance=2.5, labelangle=45, headlabel="True"] ;
7 | 2 [label=mse = 6.2724
samples = 32
value = 10.6244>, fillcolor="#e58139cc"] ;
8 | 1 -> 2 ;
9 | 3 [label=mse = 4.3724
samples = 21
value = 9.4748>, fillcolor="#e58139b2"] ;
10 | 2 -> 3 ;
11 | 4 [label=samples = 17
value = 10.1494>, fillcolor="#e58139c1"] ;
12 | 3 -> 4 ;
13 | 5 [label=samples = 4
value = 6.6075>, fillcolor="#e581396f"] ;
14 | 3 -> 5 ;
15 | 6 [label=samples = 11
value = 12.8191>, fillcolor="#e58139ff"] ;
16 | 2 -> 6 ;
17 | 7 [label=mse = 4.9506
samples = 114
value = 7.5283>, fillcolor="#e5813985"] ;
18 | 1 -> 7 ;
19 | 8 [label=mse = 3.4814
samples = 77
value = 8.2401>, fillcolor="#e5813995"] ;
20 | 7 -> 8 ;
21 | 9 [label=samples = 18
value = 9.73>, fillcolor="#e58139b8"] ;
22 | 8 -> 9 ;
23 | 10 [label=mse = 2.7255
samples = 59
value = 7.7856>, fillcolor="#e581398b"] ;
24 | 8 -> 10 ;
25 | 11 [label=mse = 3.2169
samples = 26
value = 6.9658>, fillcolor="#e5813978"] ;
26 | 10 -> 11 ;
27 | 12 [label=mse = 1.1244
samples = 21
value = 6.2952>, fillcolor="#e5813968"] ;
28 | 11 -> 12 ;
29 | 13 [label=samples = 9
value = 6.9822>, fillcolor="#e5813978"] ;
30 | 12 -> 13 ;
31 | 14 [label=samples = 12
value = 5.78>, fillcolor="#e581395c"] ;
32 | 12 -> 14 ;
33 | 15 [label=samples = 5
value = 9.782>, fillcolor="#e58139b9"] ;
34 | 11 -> 15 ;
35 | 16 [label=mse = 1.3915
samples = 33
value = 8.4315>, fillcolor="#e581399a"] ;
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