├── data ├── adult.data.csv └── credit.data.csv ├── output ├── adult.data.stat ├── credit.out ├── credit.stat ├── stand.out └── stand.stat └── script ├── data.py ├── data.pyc ├── gbt.py ├── model.py ├── model.pyc ├── tree.py └── tree.pyc /data/credit.data.csv: -------------------------------------------------------------------------------- 1 | A1,A2,A3,A4,A5,A6,A7,A8,A9,A10,A11,A12,A13,A14,A15,label 2 | b,30.83,0,u,g,w,v,1.25,t,t,01,f,g,00202,0,+ 3 | a,58.67,4.46,u,g,q,h,3.04,t,t,06,f,g,00043,560,+ 4 | a,24.50,0.5,u,g,q,h,1.5,t,f,0,f,g,00280,824,+ 5 | b,27.83,1.54,u,g,w,v,3.75,t,t,05,t,g,00100,3,+ 6 | b,20.17,5.625,u,g,w,v,1.71,t,f,0,f,s,00120,0,+ 7 | b,32.08,4,u,g,m,v,2.5,t,f,0,t,g,00360,0,+ 8 | b,33.17,1.04,u,g,r,h,6.5,t,f,0,t,g,00164,31285,+ 9 | a,22.92,11.585,u,g,cc,v,0.04,t,f,0,f,g,00080,1349,+ 10 | b,54.42,0.5,y,p,k,h,3.96,t,f,0,f,g,00180,314,+ 11 | b,42.50,4.915,y,p,w,v,3.165,t,f,0,t,g,00052,1442,+ 12 | b,22.08,0.83,u,g,c,h,2.165,f,f,0,t,g,00128,0,+ 13 | b,29.92,1.835,u,g,c,h,4.335,t,f,0,f,g,00260,200,+ 14 | a,38.25,6,u,g,k,v,1,t,f,0,t,g,00000,0,+ 15 | b,48.08,6.04,u,g,k,v,0.04,f,f,0,f,g,00000,2690,+ 16 | a,45.83,10.5,u,g,q,v,5,t,t,07,t,g,00000,0,+ 17 | b,36.67,4.415,y,p,k,v,0.25,t,t,10,t,g,00320,0,+ 18 | b,28.25,0.875,u,g,m,v,0.96,t,t,03,t,g,00396,0,+ 19 | a,23.25,5.875,u,g,q,v,3.17,t,t,10,f,g,00120,245,+ 20 | b,21.83,0.25,u,g,d,h,0.665,t,f,0,t,g,00000,0,+ 21 | a,19.17,8.585,u,g,cc,h,0.75,t,t,07,f,g,00096,0,+ 22 | b,25.00,11.25,u,g,c,v,2.5,t,t,17,f,g,00200,1208,+ 23 | b,23.25,1,u,g,c,v,0.835,t,f,0,f,s,00300,0,+ 24 | a,47.75,8,u,g,c,v,7.875,t,t,06,t,g,00000,1260,+ 25 | a,27.42,14.5,u,g,x,h,3.085,t,t,01,f,g,00120,11,+ 26 | a,41.17,6.5,u,g,q,v,0.5,t,t,03,t,g,00145,0,+ 27 | a,15.83,0.585,u,g,c,h,1.5,t,t,02,f,g,00100,0,+ 28 | a,47.00,13,u,g,i,bb,5.165,t,t,09,t,g,00000,0,+ 29 | b,56.58,18.5,u,g,d,bb,15,t,t,17,t,g,00000,0,+ 30 | b,57.42,8.5,u,g,e,h,7,t,t,03,f,g,00000,0,+ 31 | b,42.08,1.04,u,g,w,v,5,t,t,06,t,g,00500,10000,+ 32 | b,29.25,14.79,u,g,aa,v,5.04,t,t,05,t,g,00168,0,+ 33 | b,42.00,9.79,u,g,x,h,7.96,t,t,08,f,g,00000,0,+ 34 | b,49.50,7.585,u,g,i,bb,7.585,t,t,15,t,g,00000,5000,+ 35 | a,36.75,5.125,u,g,e,v,5,t,f,0,t,g,00000,4000,+ 36 | a,22.58,10.75,u,g,q,v,0.415,t,t,05,t,g,00000,560,+ 37 | b,27.83,1.5,u,g,w,v,2,t,t,11,t,g,00434,35,+ 38 | b,27.25,1.585,u,g,cc,h,1.835,t,t,12,t,g,00583,713,+ 39 | a,23.00,11.75,u,g,x,h,0.5,t,t,02,t,g,00300,551,+ 40 | b,27.75,0.585,y,p,cc,v,0.25,t,t,02,f,g,00260,500,+ 41 | b,54.58,9.415,u,g,ff,ff,14.415,t,t,11,t,g,00030,300,+ 42 | b,34.17,9.17,u,g,c,v,4.5,t,t,12,t,g,00000,221,+ 43 | b,28.92,15,u,g,c,h,5.335,t,t,11,f,g,00000,2283,+ 44 | b,29.67,1.415,u,g,w,h,0.75,t,t,01,f,g,00240,100,+ 45 | b,39.58,13.915,u,g,w,v,8.625,t,t,06,t,g,00070,0,+ 46 | b,56.42,28,y,p,c,v,28.5,t,t,40,f,g,00000,15,+ 47 | b,54.33,6.75,u,g,c,h,2.625,t,t,11,t,g,00000,284,+ 48 | a,41.00,2.04,y,p,q,h,0.125,t,t,23,t,g,00455,1236,+ 49 | b,31.92,4.46,u,g,cc,h,6.04,t,t,03,f,g,00311,300,+ 50 | b,41.50,1.54,u,g,i,bb,3.5,f,f,0,f,g,00216,0,+ 51 | b,23.92,0.665,u,g,c,v,0.165,f,f,0,f,g,00100,0,+ 52 | a,25.75,0.5,u,g,c,h,0.875,t,f,0,t,g,00491,0,+ 53 | b,26.00,1,u,g,q,v,1.75,t,f,0,t,g,00280,0,+ 54 | b,37.42,2.04,u,g,w,v,0.04,t,f,0,t,g,00400,5800,+ 55 | b,34.92,2.5,u,g,w,v,0,t,f,0,t,g,00239,200,+ 56 | b,34.25,3,u,g,cc,h,7.415,t,f,0,t,g,00000,0,+ 57 | b,23.33,11.625,y,p,w,v,0.835,t,f,0,t,g,00160,300,+ 58 | b,23.17,0,u,g,cc,v,0.085,t,f,0,f,g,00000,0,+ 59 | b,44.33,0.5,u,g,i,h,5,t,f,0,t,g,00320,0,+ 60 | b,35.17,4.5,u,g,x,h,5.75,f,f,0,t,s,00711,0,+ 61 | b,43.25,3,u,g,q,h,6,t,t,11,f,g,00080,0,+ 62 | b,56.75,12.25,u,g,m,v,1.25,t,t,04,t,g,00200,0,+ 63 | b,31.67,16.165,u,g,d,v,3,t,t,09,f,g,00250,730,+ 64 | a,23.42,0.79,y,p,q,v,1.5,t,t,02,t,g,00080,400,+ 65 | a,20.42,0.835,u,g,q,v,1.585,t,t,01,f,g,00000,0,+ 66 | b,26.67,4.25,u,g,cc,v,4.29,t,t,01,t,g,00120,0,+ 67 | b,34.17,1.54,u,g,cc,v,1.54,t,t,01,t,g,00520,50000,+ 68 | a,36.00,1,u,g,c,v,2,t,t,11,f,g,00000,456,+ 69 | b,25.50,0.375,u,g,m,v,0.25,t,t,03,f,g,00260,15108,+ 70 | b,19.42,6.5,u,g,w,h,1.46,t,t,07,f,g,00080,2954,+ 71 | b,35.17,25.125,u,g,x,h,1.625,t,t,01,t,g,00515,500,+ 72 | b,32.33,7.5,u,g,e,bb,1.585,t,f,0,t,s,00420,0,- 73 | b,34.83,4,u,g,d,bb,12.5,t,f,0,t,g,?,0,- 74 | a,38.58,5,u,g,cc,v,13.5,t,f,0,t,g,00980,0,- 75 | b,44.25,0.5,u,g,m,v,10.75,t,f,0,f,s,00400,0,- 76 | b,44.83,7,y,p,c,v,1.625,f,f,0,f,g,00160,2,- 77 | b,20.67,5.29,u,g,q,v,0.375,t,t,01,f,g,00160,0,- 78 | b,34.08,6.5,u,g,aa,v,0.125,t,f,0,t,g,00443,0,- 79 | a,19.17,0.585,y,p,aa,v,0.585,t,f,0,t,g,00160,0,- 80 | b,21.67,1.165,y,p,k,v,2.5,t,t,01,f,g,00180,20,- 81 | b,21.50,9.75,u,g,c,v,0.25,t,f,0,f,g,00140,0,- 82 | b,49.58,19,u,g,ff,ff,0,t,t,01,f,g,00094,0,- 83 | a,27.67,1.5,u,g,m,v,2,t,f,0,f,s,00368,0,- 84 | b,39.83,0.5,u,g,m,v,0.25,t,f,0,f,s,00288,0,- 85 | a,?,3.5,u,g,d,v,3,t,f,0,t,g,00300,0,- 86 | b,27.25,0.625,u,g,aa,v,0.455,t,f,0,t,g,00200,0,- 87 | b,37.17,4,u,g,c,bb,5,t,f,0,t,s,00280,0,- 88 | b,?,0.375,u,g,d,v,0.875,t,f,0,t,s,00928,0,- 89 | b,25.67,2.21,y,p,aa,v,4,t,f,0,f,g,00188,0,- 90 | b,34.00,4.5,u,g,aa,v,1,t,f,0,t,g,00240,0,- 91 | a,49.00,1.5,u,g,j,j,0,t,f,0,t,g,00100,27,- 92 | b,62.50,12.75,y,p,c,h,5,t,f,0,f,g,00112,0,- 93 | b,31.42,15.5,u,g,c,v,0.5,t,f,0,f,g,00120,0,- 94 | b,?,5,y,p,aa,v,8.5,t,f,0,f,g,00000,0,- 95 | b,52.33,1.375,y,p,c,h,9.46,t,f,0,t,g,00200,100,- 96 | b,28.75,1.5,y,p,c,v,1.5,t,f,0,t,g,00000,225,- 97 | a,28.58,3.54,u,g,i,bb,0.5,t,f,0,t,g,00171,0,- 98 | b,23.00,0.625,y,p,aa,v,0.125,t,f,0,f,g,00180,1,- 99 | b,?,0.5,u,g,c,bb,0.835,t,f,0,t,s,00320,0,- 100 | a,22.50,11,y,p,q,v,3,t,f,0,t,g,00268,0,- 101 | a,28.50,1,u,g,q,v,1,t,t,02,t,g,00167,500,- 102 | b,37.50,1.75,y,p,c,bb,0.25,t,f,0,t,g,00164,400,- 103 | b,35.25,16.5,y,p,c,v,4,t,f,0,f,g,00080,0,- 104 | b,18.67,5,u,g,q,v,0.375,t,t,02,f,g,00000,38,- 105 | b,25.00,12,u,g,k,v,2.25,t,t,02,t,g,00120,5,- 106 | b,27.83,4,y,p,i,h,5.75,t,t,02,t,g,00075,0,- 107 | b,54.83,15.5,u,g,e,z,0,t,t,20,f,g,00152,130,- 108 | b,28.75,1.165,u,g,k,v,0.5,t,f,0,f,s,00280,0,- 109 | a,25.00,11,y,p,aa,v,4.5,t,f,0,f,g,00120,0,- 110 | b,40.92,2.25,y,p,x,h,10,t,f,0,t,g,00176,0,- 111 | a,19.75,0.75,u,g,c,v,0.795,t,t,05,t,g,00140,5,- 112 | b,29.17,3.5,u,g,w,v,3.5,t,t,03,t,g,00329,0,- 113 | a,24.50,1.04,y,p,ff,ff,0.5,t,t,03,f,g,00180,147,- 114 | b,24.58,12.5,u,g,w,v,0.875,t,f,0,t,g,00260,0,- 115 | a,33.75,0.75,u,g,k,bb,1,t,t,03,t,g,00212,0,- 116 | b,20.67,1.25,y,p,c,h,1.375,t,t,03,t,g,00140,210,- 117 | a,25.42,1.125,u,g,q,v,1.29,t,t,02,f,g,00200,0,- 118 | b,37.75,7,u,g,q,h,11.5,t,t,07,t,g,00300,5,- 119 | b,52.50,6.5,u,g,k,v,6.29,t,t,15,f,g,00000,11202,+ 120 | b,57.83,7.04,u,g,m,v,14,t,t,06,t,g,00360,1332,+ 121 | a,20.75,10.335,u,g,cc,h,0.335,t,t,01,t,g,00080,50,+ 122 | b,39.92,6.21,u,g,q,v,0.04,t,t,01,f,g,00200,300,+ 123 | b,25.67,12.5,u,g,cc,v,1.21,t,t,67,t,g,00140,258,+ 124 | a,24.75,12.5,u,g,aa,v,1.5,t,t,12,t,g,00120,567,+ 125 | a,44.17,6.665,u,g,q,v,7.375,t,t,03,t,g,00000,0,+ 126 | a,23.50,9,u,g,q,v,8.5,t,t,05,t,g,00120,0,+ 127 | b,34.92,5,u,g,x,h,7.5,t,t,06,t,g,00000,1000,+ 128 | b,47.67,2.5,u,g,m,bb,2.5,t,t,12,t,g,00410,2510,+ 129 | b,22.75,11,u,g,q,v,2.5,t,t,07,t,g,00100,809,+ 130 | b,34.42,4.25,u,g,i,bb,3.25,t,t,02,f,g,00274,610,+ 131 | a,28.42,3.5,u,g,w,v,0.835,t,f,0,f,s,00280,0,+ 132 | b,67.75,5.5,u,g,e,z,13,t,t,01,t,g,00000,0,+ 133 | b,20.42,1.835,u,g,c,v,2.25,t,t,01,f,g,00100,150,+ 134 | a,47.42,8,u,g,e,bb,6.5,t,t,06,f,g,00375,51100,+ 135 | b,36.25,5,u,g,c,bb,2.5,t,t,06,f,g,00000,367,+ 136 | b,32.67,5.5,u,g,q,h,5.5,t,t,12,t,g,00408,1000,+ 137 | b,48.58,6.5,u,g,q,h,6,t,f,0,t,g,00350,0,+ 138 | b,39.92,0.54,y,p,aa,v,0.5,t,t,03,f,g,00200,1000,+ 139 | b,33.58,2.75,u,g,m,v,4.25,t,t,06,f,g,00204,0,+ 140 | a,18.83,9.5,u,g,w,v,1.625,t,t,06,t,g,00040,600,+ 141 | a,26.92,13.5,u,g,q,h,5,t,t,02,f,g,00000,5000,+ 142 | a,31.25,3.75,u,g,cc,h,0.625,t,t,09,t,g,00181,0,+ 143 | a,56.50,16,u,g,j,ff,0,t,t,15,f,g,00000,247,+ 144 | b,43.00,0.29,y,p,cc,h,1.75,t,t,08,f,g,00100,375,+ 145 | b,22.33,11,u,g,w,v,2,t,t,01,f,g,00080,278,+ 146 | b,27.25,1.665,u,g,cc,h,5.085,t,t,09,f,g,00399,827,+ 147 | b,32.83,2.5,u,g,cc,h,2.75,t,t,06,f,g,00160,2072,+ 148 | b,23.25,1.5,u,g,q,v,2.375,t,t,03,t,g,00000,582,+ 149 | a,40.33,7.54,y,p,q,h,8,t,t,14,f,g,00000,2300,+ 150 | a,30.50,6.5,u,g,c,bb,4,t,t,07,t,g,00000,3065,+ 151 | a,52.83,15,u,g,c,v,5.5,t,t,14,f,g,00000,2200,+ 152 | a,46.67,0.46,u,g,cc,h,0.415,t,t,11,t,g,00440,6,+ 153 | a,58.33,10,u,g,q,v,4,t,t,14,f,g,00000,1602,+ 154 | b,37.33,6.5,u,g,m,h,4.25,t,t,12,t,g,00093,0,+ 155 | b,23.08,2.5,u,g,c,v,1.085,t,t,11,t,g,00060,2184,+ 156 | b,32.75,1.5,u,g,cc,h,5.5,t,t,03,t,g,00000,0,+ 157 | a,21.67,11.5,y,p,j,j,0,t,t,11,t,g,00000,0,+ 158 | a,28.50,3.04,y,p,x,h,2.54,t,t,01,f,g,00070,0,+ 159 | a,68.67,15,u,g,e,z,0,t,t,14,f,g,00000,3376,+ 160 | b,28.00,2,u,g,k,h,4.165,t,t,02,t,g,00181,0,+ 161 | b,34.08,0.08,y,p,m,bb,0.04,t,t,01,t,g,00280,2000,+ 162 | b,27.67,2,u,g,x,h,1,t,t,04,f,g,00140,7544,+ 163 | b,44.00,2,u,g,m,v,1.75,t,t,02,t,g,00000,15,+ 164 | b,25.08,1.71,u,g,x,v,1.665,t,t,01,t,g,00395,20,+ 165 | b,32.00,1.75,y,p,e,h,0.04,t,f,0,t,g,00393,0,+ 166 | a,60.58,16.5,u,g,q,v,11,t,f,0,t,g,00021,10561,+ 167 | a,40.83,10,u,g,q,h,1.75,t,f,0,f,g,00029,837,+ 168 | b,19.33,9.5,u,g,q,v,1,t,f,0,t,g,00060,400,+ 169 | a,32.33,0.54,u,g,cc,v,0.04,t,f,0,f,g,00440,11177,+ 170 | b,36.67,3.25,u,g,q,h,9,t,f,0,t,g,00102,639,+ 171 | b,37.50,1.125,y,p,d,v,1.5,f,f,0,t,g,00431,0,+ 172 | a,25.08,2.54,y,p,aa,v,0.25,t,f,0,t,g,00370,0,+ 173 | b,41.33,0,u,g,c,bb,15,t,f,0,f,g,00000,0,+ 174 | b,56.00,12.5,u,g,k,h,8,t,f,0,t,g,00024,2028,+ 175 | a,49.83,13.585,u,g,k,h,8.5,t,f,0,t,g,00000,0,+ 176 | b,22.67,10.5,u,g,q,h,1.335,t,f,0,f,g,00100,0,+ 177 | b,27.00,1.5,y,p,w,v,0.375,t,f,0,t,g,00260,1065,+ 178 | b,25.00,12.5,u,g,aa,v,3,t,f,0,t,s,00020,0,+ 179 | a,26.08,8.665,u,g,aa,v,1.415,t,f,0,f,g,00160,150,+ 180 | a,18.42,9.25,u,g,q,v,1.21,t,t,04,f,g,00060,540,+ 181 | b,20.17,8.17,u,g,aa,v,1.96,t,t,14,f,g,00060,158,+ 182 | b,47.67,0.29,u,g,c,bb,15,t,t,20,f,g,00000,15000,+ 183 | a,21.25,2.335,u,g,i,bb,0.5,t,t,04,f,s,00080,0,+ 184 | a,20.67,3,u,g,q,v,0.165,t,t,03,f,g,00100,6,+ 185 | a,57.08,19.5,u,g,c,v,5.5,t,t,07,f,g,00000,3000,+ 186 | a,22.42,5.665,u,g,q,v,2.585,t,t,07,f,g,00129,3257,+ 187 | b,48.75,8.5,u,g,c,h,12.5,t,t,09,f,g,00181,1655,+ 188 | b,40.00,6.5,u,g,aa,bb,3.5,t,t,01,f,g,00000,500,+ 189 | b,40.58,5,u,g,c,v,5,t,t,07,f,g,00000,3065,+ 190 | a,28.67,1.04,u,g,c,v,2.5,t,t,05,t,g,00300,1430,+ 191 | a,33.08,4.625,u,g,q,h,1.625,t,t,02,f,g,00000,0,+ 192 | b,21.33,10.5,u,g,c,v,3,t,f,0,t,g,00000,0,+ 193 | b,42.00,0.205,u,g,i,h,5.125,t,f,0,f,g,00400,0,+ 194 | b,41.75,0.96,u,g,x,v,2.5,t,f,0,f,g,00510,600,+ 195 | b,22.67,1.585,y,p,w,v,3.085,t,t,06,f,g,00080,0,+ 196 | b,34.50,4.04,y,p,i,bb,8.5,t,t,07,t,g,00195,0,+ 197 | b,28.25,5.04,y,p,c,bb,1.5,t,t,08,t,g,00144,7,+ 198 | b,33.17,3.165,y,p,x,v,3.165,t,t,03,t,g,00380,0,+ 199 | b,48.17,7.625,u,g,w,h,15.5,t,t,12,f,g,00000,790,+ 200 | b,27.58,2.04,y,p,aa,v,2,t,t,03,t,g,00370,560,+ 201 | b,22.58,10.04,u,g,x,v,0.04,t,t,09,f,g,00060,396,+ 202 | a,24.08,0.5,u,g,q,h,1.25,t,t,01,f,g,00000,678,+ 203 | a,41.33,1,u,g,i,bb,2.25,t,f,0,t,g,00000,300,+ 204 | b,24.83,2.75,u,g,c,v,2.25,t,t,06,f,g,?,600,+ 205 | a,20.75,10.25,u,g,q,v,0.71,t,t,02,t,g,00049,0,+ 206 | b,36.33,2.125,y,p,w,v,0.085,t,t,01,f,g,00050,1187,+ 207 | a,35.42,12,u,g,q,h,14,t,t,08,f,g,00000,6590,+ 208 | a,71.58,0,?,?,?,?,0,f,f,0,f,p,?,0,+ 209 | b,28.67,9.335,u,g,q,h,5.665,t,t,06,f,g,00381,168,+ 210 | b,35.17,2.5,u,g,k,v,4.5,t,t,07,f,g,00150,1270,+ 211 | b,39.50,4.25,u,g,c,bb,6.5,t,t,16,f,g,00117,1210,+ 212 | b,39.33,5.875,u,g,cc,h,10,t,t,14,t,g,00399,0,+ 213 | b,24.33,6.625,y,p,d,v,5.5,t,f,0,t,s,00100,0,+ 214 | b,60.08,14.5,u,g,ff,ff,18,t,t,15,t,g,00000,1000,+ 215 | b,23.08,11.5,u,g,i,v,3.5,t,t,09,f,g,00056,742,+ 216 | b,26.67,2.71,y,p,cc,v,5.25,t,t,01,f,g,00211,0,+ 217 | b,48.17,3.5,u,g,aa,v,3.5,t,f,0,f,s,00230,0,+ 218 | b,41.17,4.04,u,g,cc,h,7,t,t,08,f,g,00320,0,+ 219 | b,55.92,11.5,u,g,ff,ff,5,t,t,05,f,g,00000,8851,+ 220 | b,53.92,9.625,u,g,e,v,8.665,t,t,05,f,g,00000,0,+ 221 | a,18.92,9.25,y,p,c,v,1,t,t,04,t,g,00080,500,+ 222 | a,50.08,12.54,u,g,aa,v,2.29,t,t,03,t,g,00156,0,+ 223 | b,65.42,11,u,g,e,z,20,t,t,07,t,g,00022,0,+ 224 | a,17.58,9,u,g,aa,v,1.375,t,f,0,t,g,00000,0,+ 225 | a,18.83,9.54,u,g,aa,v,0.085,t,f,0,f,g,00100,0,+ 226 | a,37.75,5.5,u,g,q,v,0.125,t,f,0,t,g,00228,0,+ 227 | b,23.25,4,u,g,c,bb,0.25,t,f,0,t,g,00160,0,+ 228 | b,18.08,5.5,u,g,k,v,0.5,t,f,0,f,g,00080,0,+ 229 | a,22.50,8.46,y,p,x,v,2.46,f,f,0,f,g,00164,0,+ 230 | b,19.67,0.375,u,g,q,v,2,t,t,02,t,g,00080,0,+ 231 | b,22.08,11,u,g,cc,v,0.665,t,f,0,f,g,00100,0,+ 232 | b,25.17,3.5,u,g,cc,v,0.625,t,t,07,f,g,00000,7059,+ 233 | a,47.42,3,u,g,x,v,13.875,t,t,02,t,g,00519,1704,+ 234 | b,33.50,1.75,u,g,x,h,4.5,t,t,04,t,g,00253,857,+ 235 | b,27.67,13.75,u,g,w,v,5.75,t,f,0,t,g,00487,500,+ 236 | a,58.42,21,u,g,i,bb,10,t,t,13,f,g,00000,6700,+ 237 | a,20.67,1.835,u,g,q,v,2.085,t,t,05,f,g,00220,2503,+ 238 | b,26.17,0.25,u,g,i,bb,0,t,f,0,t,g,00000,0,+ 239 | b,21.33,7.5,u,g,aa,v,1.415,t,t,01,f,g,00080,9800,+ 240 | b,42.83,4.625,u,g,q,v,4.58,t,f,0,f,s,00000,0,+ 241 | b,38.17,10.125,u,g,x,v,2.5,t,t,06,f,g,00520,196,+ 242 | b,20.50,10,y,p,c,v,2.5,t,f,0,f,s,00040,0,+ 243 | b,48.25,25.085,u,g,w,v,1.75,t,t,03,f,g,00120,14,+ 244 | b,28.33,5,u,g,w,v,11,t,f,0,t,g,00070,0,+ 245 | a,18.75,7.5,u,g,q,v,2.71,t,t,05,f,g,?,26726,+ 246 | b,18.50,2,u,g,i,v,1.5,t,t,02,f,g,00120,300,+ 247 | b,33.17,3.04,y,p,c,h,2.04,t,t,01,t,g,00180,18027,+ 248 | b,45.00,8.5,u,g,cc,h,14,t,t,01,t,g,00088,2000,+ 249 | a,19.67,0.21,u,g,q,h,0.29,t,t,11,f,g,00080,99,+ 250 | ?,24.50,12.75,u,g,c,bb,4.75,t,t,02,f,g,00073,444,+ 251 | b,21.83,11,u,g,x,v,0.29,t,t,06,f,g,00121,0,+ 252 | b,40.25,21.5,u,g,e,z,20,t,t,11,f,g,00000,1200,+ 253 | b,41.42,5,u,g,q,h,5,t,t,06,t,g,00470,0,+ 254 | a,17.83,11,u,g,x,h,1,t,t,11,f,g,00000,3000,+ 255 | b,23.17,11.125,u,g,x,h,0.46,t,t,01,f,g,00100,0,+ 256 | b,?,0.625,u,g,k,v,0.25,f,f,0,f,g,00380,2010,- 257 | b,18.17,10.25,u,g,c,h,1.085,f,f,0,f,g,00320,13,- 258 | b,20.00,11.045,u,g,c,v,2,f,f,0,t,g,00136,0,- 259 | b,20.00,0,u,g,d,v,0.5,f,f,0,f,g,00144,0,- 260 | a,20.75,9.54,u,g,i,v,0.04,f,f,0,f,g,00200,1000,- 261 | a,24.50,1.75,y,p,c,v,0.165,f,f,0,f,g,00132,0,- 262 | b,32.75,2.335,u,g,d,h,5.75,f,f,0,t,g,00292,0,- 263 | a,52.17,0,y,p,ff,ff,0,f,f,0,f,g,00000,0,- 264 | a,48.17,1.335,u,g,i,o,0.335,f,f,0,f,g,00000,120,- 265 | a,20.42,10.5,y,p,x,h,0,f,f,0,t,g,00154,32,- 266 | b,50.75,0.585,u,g,ff,ff,0,f,f,0,f,g,00145,0,- 267 | b,17.08,0.085,y,p,c,v,0.04,f,f,0,f,g,00140,722,- 268 | b,18.33,1.21,y,p,e,dd,0,f,f,0,f,g,00100,0,- 269 | a,32.00,6,u,g,d,v,1.25,f,f,0,f,g,00272,0,- 270 | b,59.67,1.54,u,g,q,v,0.125,t,f,0,t,g,00260,0,+ 271 | b,18.00,0.165,u,g,q,n,0.21,f,f,0,f,g,00200,40,+ 272 | b,37.58,0,?,?,?,?,0,f,f,0,f,p,?,0,+ 273 | b,32.33,2.5,u,g,c,v,1.25,f,f,0,t,g,00280,0,- 274 | b,18.08,6.75,y,p,m,v,0.04,f,f,0,f,g,00140,0,- 275 | b,38.25,10.125,y,p,k,v,0.125,f,f,0,f,g,00160,0,- 276 | b,30.67,2.5,u,g,cc,h,2.25,f,f,0,t,s,00340,0,- 277 | b,18.58,5.71,u,g,d,v,0.54,f,f,0,f,g,00120,0,- 278 | a,19.17,5.415,u,g,i,h,0.29,f,f,0,f,g,00080,484,- 279 | a,18.17,10,y,p,q,h,0.165,f,f,0,f,g,00340,0,- 280 | b,24.58,13.5,y,p,ff,ff,0,f,f,0,f,g,?,0,- 281 | b,16.25,0.835,u,g,m,v,0.085,t,f,0,f,s,00200,0,- 282 | b,21.17,0.875,y,p,c,h,0.25,f,f,0,f,g,00280,204,- 283 | b,23.92,0.585,y,p,cc,h,0.125,f,f,0,f,g,00240,1,- 284 | b,17.67,4.46,u,g,c,v,0.25,f,f,0,f,s,00080,0,- 285 | a,16.50,1.25,u,g,q,v,0.25,f,t,01,f,g,00108,98,- 286 | b,23.25,12.625,u,g,c,v,0.125,f,t,02,f,g,00000,5552,- 287 | b,17.58,10,u,g,w,h,0.165,f,t,01,f,g,00120,1,- 288 | a,?,1.5,u,g,ff,ff,0,f,t,02,t,g,00200,105,- 289 | b,29.50,0.58,u,g,w,v,0.29,f,t,01,f,g,00340,2803,- 290 | b,18.83,0.415,y,p,c,v,0.165,f,t,01,f,g,00200,1,- 291 | a,21.75,1.75,y,p,j,j,0,f,f,0,f,g,00160,0,- 292 | b,23.00,0.75,u,g,m,v,0.5,f,f,0,t,s,00320,0,- 293 | a,18.25,10,u,g,w,v,1,f,t,01,f,g,00120,1,- 294 | b,25.42,0.54,u,g,w,v,0.165,f,t,01,f,g,00272,444,- 295 | b,35.75,2.415,u,g,w,v,0.125,f,t,02,f,g,00220,1,- 296 | a,16.08,0.335,u,g,ff,ff,0,f,t,01,f,g,00160,126,- 297 | a,31.92,3.125,u,g,ff,ff,3.04,f,t,02,t,g,00200,4,- 298 | b,69.17,9,u,g,ff,ff,4,f,t,01,f,g,00070,6,- 299 | b,32.92,2.5,u,g,aa,v,1.75,f,t,02,t,g,00720,0,- 300 | b,16.33,2.75,u,g,aa,v,0.665,f,t,01,f,g,00080,21,- 301 | b,22.17,12.125,u,g,c,v,3.335,f,t,02,t,g,00180,173,- 302 | a,57.58,2,u,g,ff,ff,6.5,f,t,01,f,g,00000,10,- 303 | b,18.25,0.165,u,g,d,v,0.25,f,f,0,t,s,00280,0,- 304 | b,23.42,1,u,g,c,v,0.5,f,f,0,t,s,00280,0,- 305 | a,15.92,2.875,u,g,q,v,0.085,f,f,0,f,g,00120,0,- 306 | a,24.75,13.665,u,g,q,h,1.5,f,f,0,f,g,00280,1,- 307 | b,48.75,26.335,y,p,ff,ff,0,t,f,0,t,g,00000,0,- 308 | b,23.50,2.75,u,g,ff,ff,4.5,f,f,0,f,g,00160,25,- 309 | b,18.58,10.29,u,g,ff,ff,0.415,f,f,0,f,g,00080,0,- 310 | b,27.75,1.29,u,g,k,h,0.25,f,f,0,t,s,00140,0,- 311 | a,31.75,3,y,p,j,j,0,f,f,0,f,g,00160,20,- 312 | a,24.83,4.5,u,g,w,v,1,f,f,0,t,g,00360,6,- 313 | b,19.00,1.75,y,p,c,v,2.335,f,f,0,t,g,00112,6,- 314 | a,16.33,0.21,u,g,aa,v,0.125,f,f,0,f,g,00200,1,- 315 | a,18.58,10,u,g,d,v,0.415,f,f,0,f,g,00080,42,- 316 | b,16.25,0,y,p,aa,v,0.25,f,f,0,f,g,00060,0,- 317 | b,23.00,0.75,u,g,m,v,0.5,t,f,0,t,s,00320,0,- 318 | b,21.17,0.25,y,p,c,h,0.25,f,f,0,f,g,00280,204,- 319 | b,17.50,22,l,gg,ff,o,0,f,f,0,t,p,00450,100000,+ 320 | b,19.17,0,y,p,m,bb,0,f,f,0,t,s,00500,1,+ 321 | b,36.75,0.125,y,p,c,v,1.5,f,f,0,t,g,00232,113,+ 322 | b,21.25,1.5,u,g,w,v,1.5,f,f,0,f,g,00150,8,+ 323 | a,18.08,0.375,l,gg,cc,ff,10,f,f,0,t,s,00300,0,+ 324 | a,33.67,0.375,u,g,cc,v,0.375,f,f,0,f,g,00300,44,+ 325 | b,48.58,0.205,y,p,k,v,0.25,t,t,11,f,g,00380,2732,+ 326 | b,33.67,1.25,u,g,w,v,1.165,f,f,0,f,g,00120,0,- 327 | a,29.50,1.085,y,p,x,v,1,f,f,0,f,g,00280,13,- 328 | b,30.17,1.085,y,p,c,v,0.04,f,f,0,f,g,00170,179,- 329 | ?,40.83,3.5,u,g,i,bb,0.5,f,f,0,f,s,01160,0,- 330 | b,34.83,2.5,y,p,w,v,3,f,f,0,f,s,00200,0,- 331 | b,?,4,y,p,i,v,0.085,f,f,0,t,g,00411,0,- 332 | b,20.42,0,?,?,?,?,0,f,f,0,f,p,?,0,- 333 | a,33.25,2.5,y,p,c,v,2.5,f,f,0,t,g,00000,2,- 334 | b,34.08,2.5,u,g,c,v,1,f,f,0,f,g,00460,16,- 335 | a,25.25,12.5,u,g,d,v,1,f,f,0,t,g,00180,1062,- 336 | b,34.75,2.5,u,g,cc,bb,0.5,f,f,0,f,g,00348,0,- 337 | b,27.67,0.75,u,g,q,h,0.165,f,f,0,t,g,00220,251,- 338 | b,47.33,6.5,u,g,c,v,1,f,f,0,t,g,00000,228,- 339 | a,34.83,1.25,y,p,i,h,0.5,f,f,0,t,g,00160,0,- 340 | a,33.25,3,y,p,aa,v,2,f,f,0,f,g,00180,0,- 341 | b,28.00,3,u,g,w,v,0.75,f,f,0,t,g,00300,67,- 342 | a,39.08,4,u,g,c,v,3,f,f,0,f,g,00480,0,- 343 | b,42.75,4.085,u,g,aa,v,0.04,f,f,0,f,g,00108,100,- 344 | b,26.92,2.25,u,g,i,bb,0.5,f,f,0,t,g,00640,4000,- 345 | b,33.75,2.75,u,g,i,bb,0,f,f,0,f,g,00180,0,- 346 | b,38.92,1.75,u,g,k,v,0.5,f,f,0,t,g,00300,2,- 347 | b,62.75,7,u,g,e,z,0,f,f,0,f,g,00000,12,- 348 | ?,32.25,1.5,u,g,c,v,0.25,f,f,0,t,g,00372,122,- 349 | b,26.75,4.5,y,p,c,bb,2.5,f,f,0,f,g,00200,1210,- 350 | b,63.33,0.54,u,g,c,v,0.585,t,t,03,t,g,00180,0,- 351 | b,27.83,1.5,u,g,w,v,2.25,f,t,01,t,g,00100,3,- 352 | a,26.17,2,u,g,j,j,0,f,f,0,t,g,00276,1,- 353 | b,22.17,0.585,y,p,ff,ff,0,f,f,0,f,g,00100,0,- 354 | b,22.50,11.5,y,p,m,v,1.5,f,f,0,t,g,00000,4000,- 355 | b,30.75,1.585,u,g,d,v,0.585,f,f,0,t,s,00000,0,- 356 | b,36.67,2,u,g,i,v,0.25,f,f,0,t,g,00221,0,- 357 | a,16.00,0.165,u,g,aa,v,1,f,t,02,t,g,00320,1,- 358 | b,41.17,1.335,u,g,d,v,0.165,f,f,0,f,g,00168,0,- 359 | a,19.50,0.165,u,g,q,v,0.04,f,f,0,t,g,00380,0,- 360 | b,32.42,3,u,g,d,v,0.165,f,f,0,t,g,00120,0,- 361 | a,36.75,4.71,u,g,ff,ff,0,f,f,0,f,g,00160,0,- 362 | a,30.25,5.5,u,g,k,v,5.5,f,f,0,t,s,00100,0,- 363 | b,23.08,2.5,u,g,ff,ff,0.085,f,f,0,t,g,00100,4208,- 364 | b,26.83,0.54,u,g,k,ff,0,f,f,0,f,g,00100,0,- 365 | b,16.92,0.335,y,p,k,v,0.29,f,f,0,f,s,00200,0,- 366 | b,24.42,2,u,g,e,dd,0.165,f,t,02,f,g,00320,1300,- 367 | b,42.83,1.25,u,g,m,v,13.875,f,t,01,t,g,00352,112,- 368 | a,22.75,6.165,u,g,aa,v,0.165,f,f,0,f,g,00220,1000,- 369 | b,39.42,1.71,y,p,m,v,0.165,f,f,0,f,s,00400,0,- 370 | a,23.58,11.5,y,p,k,h,3,f,f,0,t,g,00020,16,- 371 | b,21.42,0.75,y,p,r,n,0.75,f,f,0,t,g,00132,2,- 372 | b,33.00,2.5,y,p,w,v,7,f,f,0,t,g,00280,0,- 373 | b,26.33,13,u,g,e,dd,0,f,f,0,t,g,00140,1110,- 374 | a,45.00,4.585,u,g,k,h,1,f,f,0,t,s,00240,0,- 375 | b,26.25,1.54,u,g,w,v,0.125,f,f,0,f,g,00100,0,- 376 | ?,28.17,0.585,u,g,aa,v,0.04,f,f,0,f,g,00260,1004,- 377 | a,20.83,0.5,y,p,e,dd,1,f,f,0,f,g,00260,0,- 378 | b,28.67,14.5,u,g,d,v,0.125,f,f,0,f,g,00000,286,- 379 | b,20.67,0.835,y,p,c,v,2,f,f,0,t,s,00240,0,- 380 | b,34.42,1.335,u,g,i,bb,0.125,f,f,0,t,g,00440,4500,- 381 | b,33.58,0.25,u,g,i,bb,4,f,f,0,t,s,00420,0,- 382 | b,43.17,5,u,g,i,bb,2.25,f,f,0,t,g,00141,0,- 383 | a,22.67,7,u,g,c,v,0.165,f,f,0,f,g,00160,0,- 384 | a,24.33,2.5,y,p,i,bb,4.5,f,f,0,f,g,00200,456,- 385 | a,56.83,4.25,y,p,ff,ff,5,f,f,0,t,g,00000,4,- 386 | b,22.08,11.46,u,g,k,v,1.585,f,f,0,t,g,00100,1212,- 387 | b,34.00,5.5,y,p,c,v,1.5,f,f,0,t,g,00060,0,- 388 | b,22.58,1.5,y,p,aa,v,0.54,f,f,0,t,g,00120,67,- 389 | b,21.17,0,u,g,c,v,0.5,f,f,0,t,s,00000,0,- 390 | b,26.67,14.585,u,g,i,bb,0,f,f,0,t,g,00178,0,- 391 | b,22.92,0.17,u,g,m,v,0.085,f,f,0,f,s,00000,0,- 392 | b,15.17,7,u,g,e,v,1,f,f,0,f,g,00600,0,- 393 | b,39.92,5,u,g,i,bb,0.21,f,f,0,f,g,00550,0,- 394 | b,27.42,12.5,u,g,aa,bb,0.25,f,f,0,t,g,00720,0,- 395 | b,24.75,0.54,u,g,m,v,1,f,f,0,t,g,00120,1,- 396 | b,41.17,1.25,y,p,w,v,0.25,f,f,0,f,g,00000,195,- 397 | a,33.08,1.625,u,g,d,v,0.54,f,f,0,t,g,00000,0,- 398 | b,29.83,2.04,y,p,x,h,0.04,f,f,0,f,g,00128,1,- 399 | a,23.58,0.585,y,p,ff,ff,0.125,f,f,0,f,g,00120,87,- 400 | b,26.17,12.5,y,p,k,h,1.25,f,f,0,t,g,00000,17,- 401 | b,31.00,2.085,u,g,c,v,0.085,f,f,0,f,g,00300,0,- 402 | b,20.75,5.085,y,p,j,v,0.29,f,f,0,f,g,00140,184,- 403 | b,28.92,0.375,u,g,c,v,0.29,f,f,0,f,g,00220,140,- 404 | a,51.92,6.5,u,g,i,bb,3.085,f,f,0,t,g,00073,0,- 405 | a,22.67,0.335,u,g,q,v,0.75,f,f,0,f,s,00160,0,- 406 | b,34.00,5.085,y,p,i,bb,1.085,f,f,0,t,g,00480,0,- 407 | a,69.50,6,u,g,ff,ff,0,f,f,0,f,s,00000,0,- 408 | a,40.33,8.125,y,p,k,v,0.165,f,t,02,f,g,?,18,- 409 | a,19.58,0.665,y,p,c,v,1,f,t,01,f,g,02000,2,- 410 | b,16.00,3.125,u,g,w,v,0.085,f,t,01,f,g,00000,6,- 411 | b,17.08,0.25,u,g,q,v,0.335,f,t,04,f,g,00160,8,- 412 | b,31.25,2.835,u,g,ff,ff,0,f,t,05,f,g,00176,146,- 413 | b,25.17,3,u,g,c,v,1.25,f,t,01,f,g,00000,22,- 414 | a,22.67,0.79,u,g,i,v,0.085,f,f,0,f,g,00144,0,- 415 | b,40.58,1.5,u,g,i,bb,0,f,f,0,f,s,00300,0,- 416 | b,22.25,0.46,u,g,k,v,0.125,f,f,0,t,g,00280,55,- 417 | a,22.25,1.25,y,p,ff,ff,3.25,f,f,0,f,g,00280,0,- 418 | b,22.50,0.125,y,p,k,v,0.125,f,f,0,f,g,00200,70,- 419 | b,23.58,1.79,u,g,c,v,0.54,f,f,0,t,g,00136,1,- 420 | b,38.42,0.705,u,g,c,v,0.375,f,t,02,f,g,00225,500,- 421 | a,26.58,2.54,y,p,ff,ff,0,f,f,0,t,g,00180,60,- 422 | b,35.00,2.5,u,g,i,v,1,f,f,0,t,g,00210,0,- 423 | b,20.42,1.085,u,g,q,v,1.5,f,f,0,f,g,00108,7,- 424 | b,29.42,1.25,u,g,w,v,1.75,f,f,0,f,g,00200,0,- 425 | b,26.17,0.835,u,g,cc,v,1.165,f,f,0,f,g,00100,0,- 426 | b,33.67,2.165,u,g,c,v,1.5,f,f,0,f,p,00120,0,- 427 | b,24.58,1.25,u,g,c,v,0.25,f,f,0,f,g,00110,0,- 428 | a,27.67,2.04,u,g,w,v,0.25,f,f,0,t,g,00180,50,- 429 | b,37.50,0.835,u,g,e,v,0.04,f,f,0,f,g,00120,5,- 430 | b,49.17,2.29,u,g,ff,ff,0.29,f,f,0,f,g,00200,3,- 431 | b,33.58,0.335,y,p,cc,v,0.085,f,f,0,f,g,00180,0,- 432 | b,51.83,3,y,p,ff,ff,1.5,f,f,0,f,g,00180,4,- 433 | b,22.92,3.165,y,p,c,v,0.165,f,f,0,f,g,00160,1058,- 434 | b,21.83,1.54,u,g,k,v,0.085,f,f,0,t,g,00356,0,- 435 | b,25.25,1,u,g,aa,v,0.5,f,f,0,f,g,00200,0,- 436 | b,58.58,2.71,u,g,c,v,2.415,f,f,0,t,g,00320,0,- 437 | b,19.00,0,y,p,ff,ff,0,f,t,04,f,g,00045,1,- 438 | b,19.58,0.585,u,g,ff,ff,0,f,t,03,f,g,00350,769,- 439 | a,53.33,0.165,u,g,ff,ff,0,f,f,0,t,s,00062,27,- 440 | a,27.17,1.25,u,g,ff,ff,0,f,t,01,f,g,00092,300,- 441 | b,25.92,0.875,u,g,k,v,0.375,f,t,02,t,g,00174,3,- 442 | b,23.08,0,u,g,k,v,1,f,t,11,f,s,00000,0,- 443 | b,39.58,5,u,g,ff,ff,0,f,t,02,f,g,00017,1,- 444 | b,30.58,2.71,y,p,m,v,0.125,f,f,0,t,s,00080,0,- 445 | b,17.25,3,u,g,k,v,0.04,f,f,0,t,g,00160,40,- 446 | a,17.67,0,y,p,j,ff,0,f,f,0,f,g,00086,0,- 447 | a,?,11.25,u,g,ff,ff,0,f,f,0,f,g,?,5200,- 448 | b,16.50,0.125,u,g,c,v,0.165,f,f,0,f,g,00132,0,- 449 | a,27.33,1.665,u,g,ff,ff,0,f,f,0,f,g,00340,1,- 450 | b,31.25,1.125,u,g,ff,ff,0,f,t,01,f,g,00096,19,- 451 | b,20.00,7,u,g,c,v,0.5,f,f,0,f,g,00000,0,- 452 | b,?,3,y,p,i,bb,7,f,f,0,f,g,00000,1,- 453 | b,39.50,1.625,u,g,c,v,1.5,f,f,0,f,g,00000,316,- 454 | b,36.50,4.25,u,g,q,v,3.5,f,f,0,f,g,00454,50,- 455 | ?,29.75,0.665,u,g,w,v,0.25,f,f,0,t,g,00300,0,- 456 | b,52.42,1.5,u,g,d,v,3.75,f,f,0,t,g,00000,350,- 457 | b,36.17,18.125,u,g,w,v,0.085,f,f,0,f,g,00320,3552,- 458 | b,34.58,0,?,?,?,?,0,f,f,0,f,p,?,0,- 459 | b,29.67,0.75,y,p,c,v,0.04,f,f,0,f,g,00240,0,- 460 | b,36.17,5.5,u,g,i,bb,5,f,f,0,f,g,00210,687,- 461 | b,25.67,0.29,y,p,c,v,1.5,f,f,0,t,g,00160,0,- 462 | a,24.50,2.415,y,p,c,v,0,f,f,0,f,g,00120,0,- 463 | b,24.08,0.875,u,g,m,v,0.085,f,t,04,f,g,00254,1950,- 464 | b,21.92,0.5,u,g,c,v,0.125,f,f,0,f,g,00360,0,- 465 | a,36.58,0.29,u,g,ff,ff,0,f,t,10,f,g,00200,18,- 466 | a,23.00,1.835,u,g,j,j,0,f,t,01,f,g,00200,53,- 467 | a,27.58,3,u,g,m,v,2.79,f,t,01,t,g,00280,10,- 468 | b,31.08,3.085,u,g,c,v,2.5,f,t,02,t,g,00160,41,- 469 | a,30.42,1.375,u,g,w,h,0.04,f,t,03,f,g,00000,33,- 470 | b,22.08,2.335,u,g,k,v,0.75,f,f,0,f,g,00180,0,- 471 | b,16.33,4.085,u,g,i,h,0.415,f,f,0,t,g,00120,0,- 472 | a,21.92,11.665,u,g,k,h,0.085,f,f,0,f,g,00320,5,- 473 | b,21.08,4.125,y,p,i,h,0.04,f,f,0,f,g,00140,100,- 474 | b,17.42,6.5,u,g,i,v,0.125,f,f,0,f,g,00060,100,- 475 | b,19.17,4,y,p,i,v,1,f,f,0,t,g,00360,1000,- 476 | b,20.67,0.415,u,g,c,v,0.125,f,f,0,f,g,00000,44,- 477 | b,26.75,2,u,g,d,v,0.75,f,f,0,t,g,00080,0,- 478 | b,23.58,0.835,u,g,i,h,0.085,f,f,0,t,g,00220,5,- 479 | b,39.17,2.5,y,p,i,h,10,f,f,0,t,s,00200,0,- 480 | b,22.75,11.5,u,g,i,v,0.415,f,f,0,f,g,00000,0,- 481 | ?,26.50,2.71,y,p,?,?,0.085,f,f,0,f,s,00080,0,- 482 | a,16.92,0.5,u,g,i,v,0.165,f,t,06,t,g,00240,35,- 483 | b,23.50,3.165,y,p,k,v,0.415,f,t,01,t,g,00280,80,- 484 | a,17.33,9.5,u,g,aa,v,1.75,f,t,10,t,g,00000,10,- 485 | b,23.75,0.415,y,p,c,v,0.04,f,t,02,f,g,00128,6,- 486 | b,34.67,1.08,u,g,m,v,1.165,f,f,0,f,s,00028,0,- 487 | b,74.83,19,y,p,ff,ff,0.04,f,t,02,f,g,00000,351,- 488 | b,28.17,0.125,y,p,k,v,0.085,f,f,0,f,g,00216,2100,- 489 | b,24.50,13.335,y,p,aa,v,0.04,f,f,0,t,g,00120,475,- 490 | b,18.83,3.54,y,p,ff,ff,0,f,f,0,t,g,00180,1,- 491 | ?,45.33,1,u,g,q,v,0.125,f,f,0,t,g,00263,0,- 492 | a,47.25,0.75,u,g,q,h,2.75,t,t,01,f,g,00333,892,+ 493 | b,24.17,0.875,u,g,q,v,4.625,t,t,02,t,g,00520,2000,+ 494 | b,39.25,9.5,u,g,m,v,6.5,t,t,14,f,g,00240,4607,+ 495 | a,20.50,11.835,u,g,c,h,6,t,f,0,f,g,00340,0,+ 496 | a,18.83,4.415,y,p,c,h,3,t,f,0,f,g,00240,0,+ 497 | b,19.17,9.5,u,g,w,v,1.5,t,f,0,f,g,00120,2206,+ 498 | a,25.00,0.875,u,g,x,h,1.04,t,f,0,t,g,00160,5860,+ 499 | b,20.17,9.25,u,g,c,v,1.665,t,t,03,t,g,00040,28,+ 500 | b,25.75,0.5,u,g,c,v,1.46,t,t,05,t,g,00312,0,+ 501 | b,20.42,7,u,g,c,v,1.625,t,t,03,f,g,00200,1391,+ 502 | b,?,4,u,g,x,v,5,t,t,03,t,g,00290,2279,+ 503 | b,39.00,5,u,g,cc,v,3.5,t,t,10,t,g,00000,0,+ 504 | a,64.08,0.165,u,g,ff,ff,0,t,t,01,f,g,00232,100,+ 505 | b,28.25,5.125,u,g,x,v,4.75,t,t,02,f,g,00420,7,+ 506 | a,28.75,3.75,u,g,c,v,1.085,t,t,01,t,g,00371,0,+ 507 | b,31.33,19.5,u,g,c,v,7,t,t,16,f,g,00000,5000,+ 508 | a,18.92,9,u,g,aa,v,0.75,t,t,02,f,g,00088,591,+ 509 | a,24.75,3,u,g,q,h,1.835,t,t,19,f,g,00000,500,+ 510 | a,30.67,12,u,g,c,v,2,t,t,01,f,g,00220,19,+ 511 | b,21.00,4.79,y,p,w,v,2.25,t,t,01,t,g,00080,300,+ 512 | b,13.75,4,y,p,w,v,1.75,t,t,02,t,g,00120,1000,+ 513 | a,46.00,4,u,g,j,j,0,t,f,0,f,g,00100,960,+ 514 | a,44.33,0,u,g,c,v,2.5,t,f,0,f,g,00000,0,+ 515 | b,20.25,9.96,u,g,e,dd,0,t,f,0,f,g,00000,0,+ 516 | b,22.67,2.54,y,p,c,h,2.585,t,f,0,f,g,00000,0,+ 517 | b,?,10.5,u,g,x,v,6.5,t,f,0,f,g,00000,0,+ 518 | a,60.92,5,u,g,aa,v,4,t,t,04,f,g,00000,99,+ 519 | b,16.08,0.75,u,g,c,v,1.75,t,t,05,t,g,00352,690,+ 520 | a,28.17,0.375,u,g,q,v,0.585,t,t,04,f,g,00080,0,+ 521 | b,39.17,1.71,u,g,x,v,0.125,t,t,05,t,g,00480,0,+ 522 | ?,20.42,7.5,u,g,k,v,1.5,t,t,01,f,g,00160,234,+ 523 | a,30.00,5.29,u,g,e,dd,2.25,t,t,05,t,g,00099,500,+ 524 | b,22.83,3,u,g,m,v,1.29,t,t,01,f,g,00260,800,+ 525 | a,22.50,8.5,u,g,q,v,1.75,t,t,10,f,g,00080,990,- 526 | a,28.58,1.665,u,g,q,v,2.415,t,f,0,t,g,00440,0,- 527 | b,45.17,1.5,u,g,c,v,2.5,t,f,0,t,g,00140,0,- 528 | b,41.58,1.75,u,g,k,v,0.21,t,f,0,f,g,00160,0,- 529 | a,57.08,0.335,u,g,i,bb,1,t,f,0,t,g,00252,2197,- 530 | a,55.75,7.08,u,g,k,h,6.75,t,t,03,t,g,00100,50,- 531 | b,43.25,25.21,u,g,q,h,0.21,t,t,01,f,g,00760,90,- 532 | a,25.33,2.085,u,g,c,h,2.75,t,f,0,t,g,00360,1,- 533 | a,24.58,0.67,u,g,aa,h,1.75,t,f,0,f,g,00400,0,- 534 | b,43.17,2.25,u,g,i,bb,0.75,t,f,0,f,g,00560,0,- 535 | b,40.92,0.835,u,g,ff,ff,0,t,f,0,f,g,00130,1,- 536 | b,31.83,2.5,u,g,aa,v,7.5,t,f,0,t,g,00523,0,- 537 | a,33.92,1.585,y,p,ff,ff,0,t,f,0,f,g,00320,0,- 538 | a,24.92,1.25,u,g,ff,ff,0,t,f,0,f,g,00080,0,- 539 | b,35.25,3.165,u,g,x,h,3.75,t,f,0,t,g,00680,0,- 540 | b,34.25,1.75,u,g,w,bb,0.25,t,f,0,t,g,00163,0,- 541 | b,80.25,5.5,u,g,?,?,0.54,t,f,0,f,g,00000,340,- 542 | b,19.42,1.5,y,p,cc,v,2,t,f,0,t,g,00100,20,- 543 | b,42.75,3,u,g,i,bb,1,t,f,0,f,g,00000,200,- 544 | b,19.67,10,y,p,k,h,0.835,t,f,0,t,g,00140,0,- 545 | b,36.33,3.79,u,g,w,v,1.165,t,f,0,t,g,00200,0,- 546 | b,30.08,1.04,y,p,i,bb,0.5,t,t,10,t,g,00132,28,- 547 | b,44.25,11,y,p,d,v,1.5,t,f,0,f,s,00000,0,- 548 | b,23.58,0.46,y,p,w,v,2.625,t,t,06,t,g,00208,347,- 549 | b,23.92,1.5,u,g,d,h,1.875,t,t,06,f,g,00200,327,+ 550 | b,33.17,1,u,g,x,v,0.75,t,t,07,t,g,00340,4071,+ 551 | b,48.33,12,u,g,m,v,16,t,f,0,f,s,00110,0,+ 552 | b,76.75,22.29,u,g,e,z,12.75,t,t,01,t,g,00000,109,+ 553 | b,51.33,10,u,g,i,bb,0,t,t,11,f,g,00000,1249,+ 554 | b,34.75,15,u,g,r,n,5.375,t,t,09,t,g,00000,134,+ 555 | b,38.58,3.335,u,g,w,v,4,t,t,14,f,g,00383,1344,+ 556 | a,22.42,11.25,y,p,x,h,0.75,t,t,04,f,g,00000,321,+ 557 | b,41.92,0.42,u,g,c,h,0.21,t,t,06,f,g,00220,948,+ 558 | b,29.58,4.5,u,g,w,v,7.5,t,t,02,t,g,00330,0,+ 559 | a,32.17,1.46,u,g,w,v,1.085,t,t,16,f,g,00120,2079,+ 560 | b,51.42,0.04,u,g,x,h,0.04,t,f,0,f,g,00000,3000,+ 561 | a,22.83,2.29,u,g,q,h,2.29,t,t,07,t,g,00140,2384,+ 562 | a,25.00,12.33,u,g,cc,h,3.5,t,t,06,f,g,00400,458,+ 563 | b,26.75,1.125,u,g,x,h,1.25,t,f,0,f,g,00000,5298,+ 564 | b,23.33,1.5,u,g,c,h,1.415,t,f,0,f,g,00422,200,+ 565 | b,24.42,12.335,u,g,q,h,1.585,t,f,0,t,g,00120,0,+ 566 | b,42.17,5.04,u,g,q,h,12.75,t,f,0,t,g,00092,0,+ 567 | a,20.83,3,u,g,aa,v,0.04,t,f,0,f,g,00100,0,+ 568 | b,23.08,11.5,u,g,w,h,2.125,t,t,11,t,g,00290,284,+ 569 | a,25.17,2.875,u,g,x,h,0.875,t,f,0,f,g,00360,0,+ 570 | b,43.08,0.375,y,p,c,v,0.375,t,t,08,t,g,00300,162,+ 571 | a,35.75,0.915,u,g,aa,v,0.75,t,t,04,f,g,00000,1583,+ 572 | b,59.50,2.75,u,g,w,v,1.75,t,t,05,t,g,00060,58,+ 573 | b,21.00,3,y,p,d,v,1.085,t,t,08,t,g,00160,1,+ 574 | b,21.92,0.54,y,p,x,v,0.04,t,t,01,t,g,00840,59,+ 575 | a,65.17,14,u,g,ff,ff,0,t,t,11,t,g,00000,1400,+ 576 | a,20.33,10,u,g,c,h,1,t,t,04,f,g,00050,1465,+ 577 | b,32.25,0.165,y,p,c,h,3.25,t,t,01,t,g,00432,8000,+ 578 | b,30.17,0.5,u,g,c,v,1.75,t,t,11,f,g,00032,540,+ 579 | b,25.17,6,u,g,c,v,1,t,t,03,f,g,00000,0,+ 580 | b,39.17,1.625,u,g,c,v,1.5,t,t,10,f,g,00186,4700,+ 581 | b,39.08,6,u,g,m,v,1.29,t,t,05,t,g,00108,1097,+ 582 | b,31.67,0.83,u,g,x,v,1.335,t,t,08,t,g,00303,3290,+ 583 | b,41.00,0.04,u,g,e,v,0.04,f,t,01,f,s,00560,0,+ 584 | b,48.50,4.25,u,g,m,v,0.125,t,f,0,t,g,00225,0,+ 585 | b,32.67,9,y,p,w,h,5.25,t,f,0,t,g,00154,0,+ 586 | a,28.08,15,y,p,e,z,0,t,f,0,f,g,00000,13212,+ 587 | b,73.42,17.75,u,g,ff,ff,0,t,f,0,t,g,00000,0,+ 588 | b,64.08,20,u,g,x,h,17.5,t,t,09,t,g,00000,1000,+ 589 | b,51.58,15,u,g,c,v,8.5,t,t,09,f,g,00000,0,+ 590 | b,26.67,1.75,y,p,c,v,1,t,t,05,t,g,00160,5777,+ 591 | b,25.33,0.58,u,g,c,v,0.29,t,t,07,t,g,00096,5124,+ 592 | b,30.17,6.5,u,g,cc,v,3.125,t,t,08,f,g,00330,1200,+ 593 | b,27.00,0.75,u,g,c,h,4.25,t,t,03,t,g,00312,150,+ 594 | b,23.17,0,?,?,?,?,0,f,f,0,f,p,?,0,+ 595 | b,34.17,5.25,u,g,w,v,0.085,f,f,0,t,g,00290,6,+ 596 | b,38.67,0.21,u,g,k,v,0.085,t,f,0,t,g,00280,0,+ 597 | b,25.75,0.75,u,g,c,bb,0.25,t,f,0,f,g,00349,23,+ 598 | a,46.08,3,u,g,c,v,2.375,t,t,08,t,g,00396,4159,+ 599 | a,21.50,6,u,g,aa,v,2.5,t,t,03,f,g,00080,918,+ 600 | ?,20.08,0.125,u,g,q,v,1,f,t,01,f,g,00240,768,+ 601 | b,20.50,2.415,u,g,c,v,2,t,t,11,t,g,00200,3000,+ 602 | a,29.50,0.46,u,g,k,v,0.54,t,t,04,f,g,00380,500,+ 603 | ?,42.25,1.75,y,p,?,?,0,f,f,0,t,g,00150,1,- 604 | b,29.83,1.25,y,p,k,v,0.25,f,f,0,f,g,00224,0,- 605 | b,20.08,0.25,u,g,q,v,0.125,f,f,0,f,g,00200,0,- 606 | b,23.42,0.585,u,g,c,h,0.085,t,f,0,f,g,00180,0,- 607 | a,29.58,1.75,y,p,k,v,1.25,f,f,0,t,g,00280,0,- 608 | b,16.17,0.04,u,g,c,v,0.04,f,f,0,f,g,00000,0,+ 609 | b,32.33,3.5,u,g,k,v,0.5,f,f,0,t,g,00232,0,- 610 | b,?,0.04,y,p,d,v,4.25,f,f,0,t,g,00460,0,- 611 | b,47.83,4.165,u,g,x,bb,0.085,f,f,0,t,g,00520,0,- 612 | b,20.00,1.25,y,p,k,v,0.125,f,f,0,f,g,00140,4,- 613 | b,27.58,3.25,y,p,q,h,5.085,f,t,02,t,g,00369,1,- 614 | b,22.00,0.79,u,g,w,v,0.29,f,t,01,f,g,00420,283,- 615 | b,19.33,10.915,u,g,c,bb,0.585,f,t,02,t,g,00200,7,- 616 | a,38.33,4.415,u,g,c,v,0.125,f,f,0,f,g,00160,0,- 617 | b,29.42,1.25,u,g,c,h,0.25,f,t,02,t,g,00400,108,- 618 | b,22.67,0.75,u,g,i,v,1.585,f,t,01,t,g,00400,9,- 619 | b,32.25,14,y,p,ff,ff,0,f,t,02,f,g,00160,1,- 620 | b,29.58,4.75,u,g,m,v,2,f,t,01,t,g,00460,68,- 621 | b,18.42,10.415,y,p,aa,v,0.125,t,f,0,f,g,00120,375,- 622 | b,22.17,2.25,u,g,i,v,0.125,f,f,0,f,g,00160,10,- 623 | b,22.67,0.165,u,g,c,j,2.25,f,f,0,t,s,00000,0,+ 624 | a,25.58,0,?,?,?,?,0,f,f,0,f,p,?,0,+ 625 | b,18.83,0,u,g,q,v,0.665,f,f,0,f,g,00160,1,- 626 | b,21.58,0.79,y,p,cc,v,0.665,f,f,0,f,g,00160,0,- 627 | b,23.75,12,u,g,c,v,2.085,f,f,0,f,s,00080,0,- 628 | b,22.00,7.835,y,p,i,bb,0.165,f,f,0,t,g,?,0,- 629 | b,36.08,2.54,u,g,ff,ff,0,f,f,0,f,g,00000,1000,- 630 | b,29.25,13,u,g,d,h,0.5,f,f,0,f,g,00228,0,- 631 | a,19.58,0.665,u,g,w,v,1.665,f,f,0,f,g,00220,5,- 632 | a,22.92,1.25,u,g,q,v,0.25,f,f,0,t,g,00120,809,- 633 | a,27.25,0.29,u,g,m,h,0.125,f,t,01,t,g,00272,108,- 634 | a,38.75,1.5,u,g,ff,ff,0,f,f,0,f,g,00076,0,- 635 | b,32.42,2.165,y,p,k,ff,0,f,f,0,f,g,00120,0,- 636 | a,23.75,0.71,u,g,w,v,0.25,f,t,01,t,g,00240,4,- 637 | b,18.17,2.46,u,g,c,n,0.96,f,t,02,t,g,00160,587,- 638 | b,40.92,0.5,y,p,m,v,0.5,f,f,0,t,g,00130,0,- 639 | b,19.50,9.585,u,g,aa,v,0.79,f,f,0,f,g,00080,350,- 640 | b,28.58,3.625,u,g,aa,v,0.25,f,f,0,t,g,00100,0,- 641 | b,35.58,0.75,u,g,k,v,1.5,f,f,0,t,g,00231,0,- 642 | b,34.17,2.75,u,g,i,bb,2.5,f,f,0,t,g,00232,200,- 643 | ?,33.17,2.25,y,p,cc,v,3.5,f,f,0,t,g,00200,141,- 644 | b,31.58,0.75,y,p,aa,v,3.5,f,f,0,t,g,00320,0,- 645 | a,52.50,7,u,g,aa,h,3,f,f,0,f,g,00000,0,- 646 | b,36.17,0.42,y,p,w,v,0.29,f,f,0,t,g,00309,2,- 647 | b,37.33,2.665,u,g,cc,v,0.165,f,f,0,t,g,00000,501,- 648 | a,20.83,8.5,u,g,c,v,0.165,f,f,0,f,g,00000,351,- 649 | b,24.08,9,u,g,aa,v,0.25,f,f,0,t,g,00000,0,- 650 | b,25.58,0.335,u,g,k,h,3.5,f,f,0,t,g,00340,0,- 651 | a,35.17,3.75,u,g,ff,ff,0,f,t,06,f,g,00000,200,- 652 | b,48.08,3.75,u,g,i,bb,1,f,f,0,f,g,00100,2,- 653 | a,15.83,7.625,u,g,q,v,0.125,f,t,01,t,g,00000,160,- 654 | a,22.50,0.415,u,g,i,v,0.335,f,f,0,t,s,00144,0,- 655 | b,21.50,11.5,u,g,i,v,0.5,t,f,0,t,g,00100,68,- 656 | a,23.58,0.83,u,g,q,v,0.415,f,t,01,t,g,00200,11,- 657 | a,21.08,5,y,p,ff,ff,0,f,f,0,f,g,00000,0,- 658 | b,25.67,3.25,u,g,c,h,2.29,f,t,01,t,g,00416,21,- 659 | a,38.92,1.665,u,g,aa,v,0.25,f,f,0,f,g,00000,390,- 660 | a,15.75,0.375,u,g,c,v,1,f,f,0,f,g,00120,18,- 661 | a,28.58,3.75,u,g,c,v,0.25,f,t,01,t,g,00040,154,- 662 | b,22.25,9,u,g,aa,v,0.085,f,f,0,f,g,00000,0,- 663 | b,29.83,3.5,u,g,c,v,0.165,f,f,0,f,g,00216,0,- 664 | a,23.50,1.5,u,g,w,v,0.875,f,f,0,t,g,00160,0,- 665 | b,32.08,4,y,p,cc,v,1.5,f,f,0,t,g,00120,0,- 666 | b,31.08,1.5,y,p,w,v,0.04,f,f,0,f,s,00160,0,- 667 | b,31.83,0.04,y,p,m,v,0.04,f,f,0,f,g,00000,0,- 668 | a,21.75,11.75,u,g,c,v,0.25,f,f,0,t,g,00180,0,- 669 | a,17.92,0.54,u,g,c,v,1.75,f,t,01,t,g,00080,5,- 670 | b,30.33,0.5,u,g,d,h,0.085,f,f,0,t,s,00252,0,- 671 | b,51.83,2.04,y,p,ff,ff,1.5,f,f,0,f,g,00120,1,- 672 | b,47.17,5.835,u,g,w,v,5.5,f,f,0,f,g,00465,150,- 673 | b,25.83,12.835,u,g,cc,v,0.5,f,f,0,f,g,00000,2,- 674 | a,50.25,0.835,u,g,aa,v,0.5,f,f,0,t,g,00240,117,- 675 | ?,29.50,2,y,p,e,h,2,f,f,0,f,g,00256,17,- 676 | a,37.33,2.5,u,g,i,h,0.21,f,f,0,f,g,00260,246,- 677 | a,41.58,1.04,u,g,aa,v,0.665,f,f,0,f,g,00240,237,- 678 | a,30.58,10.665,u,g,q,h,0.085,f,t,12,t,g,00129,3,- 679 | b,19.42,7.25,u,g,m,v,0.04,f,t,01,f,g,00100,1,- 680 | a,17.92,10.21,u,g,ff,ff,0,f,f,0,f,g,00000,50,- 681 | a,20.08,1.25,u,g,c,v,0,f,f,0,f,g,00000,0,- 682 | b,19.50,0.29,u,g,k,v,0.29,f,f,0,f,g,00280,364,- 683 | b,27.83,1,y,p,d,h,3,f,f,0,f,g,00176,537,- 684 | b,17.08,3.29,u,g,i,v,0.335,f,f,0,t,g,00140,2,- 685 | b,36.42,0.75,y,p,d,v,0.585,f,f,0,f,g,00240,3,- 686 | b,40.58,3.29,u,g,m,v,3.5,f,f,0,t,s,00400,0,- 687 | b,21.08,10.085,y,p,e,h,1.25,f,f,0,f,g,00260,0,- 688 | a,22.67,0.75,u,g,c,v,2,f,t,02,t,g,00200,394,- 689 | a,25.25,13.5,y,p,ff,ff,2,f,t,01,t,g,00200,1,- 690 | b,17.92,0.205,u,g,aa,v,0.04,f,f,0,f,g,00280,750,- 691 | b,35.00,3.375,u,g,c,h,8.29,f,f,0,t,g,00000,0,- 692 | -------------------------------------------------------------------------------- /output/adult.data.stat: -------------------------------------------------------------------------------- 1 | iteration average loss in train data prediction accuracy on test data average loss in test data 2 | 1 0.654539012601 0.761931085314 0.654232759188 3 | 2 0.622349517031 0.761931085314 0.621771889498 4 | 3 0.59580757408 0.761931085314 0.594984231179 5 | 4 0.57305577552 0.79767827529 0.572109499245 6 | 5 0.553647423584 0.79767827529 0.552558605671 7 | 6 0.537309190021 0.79767827529 0.536002871428 8 | 7 0.522281259922 0.802561267735 0.520851167202 9 | 8 0.50786006816 0.79767827529 0.50635280961 10 | 9 0.495860140116 0.79767827529 0.494299677702 11 | 10 0.48483888313 0.79767827529 0.483136091745 12 | 11 0.473984332136 0.79767827529 0.472254930956 13 | 12 0.466333844285 0.79767827529 0.464565063393 14 | 13 0.458986391063 0.802561267735 0.45711502345 15 | 14 0.452398928986 0.803298323199 0.450434865919 16 | 15 0.446419512459 0.803298323199 0.444454128478 17 | 16 0.439467689731 0.802284871937 0.437482141938 18 | 17 0.433661967164 0.803298323199 0.431649318341 19 | 18 0.428893399531 0.802745531601 0.426832909964 20 | 19 0.422965321309 0.803298323199 0.420922999574 21 | 20 0.419308605721 0.803298323199 0.417231427491 22 | 21 0.414523431756 0.803298323199 0.412480528169 23 | 22 0.411398195637 0.8030219274 0.409459389218 24 | 23 0.408560432769 0.812050856827 0.407075594211 25 | 24 0.404537375427 0.812050856827 0.403084947839 26 | 25 0.401946145097 0.812695780357 0.40091819924 27 | 26 0.399670842539 0.812419384559 0.398746437161 28 | 27 0.396575115009 0.812050856827 0.395717969118 29 | 28 0.393219504259 0.812603648425 0.392400924701 30 | 29 0.39020147034 0.812511516492 0.389396952819 31 | 30 0.388061220566 0.82660770223 0.387465639787 32 | 31 0.386134798823 0.826884098028 0.385544030585 33 | 32 0.383677298899 0.834715312327 0.38302151808 34 | 33 0.381766017865 0.839321908974 0.38113234738 35 | 34 0.379355749162 0.839229777041 0.378747042253 36 | 35 0.377330032055 0.839598304772 0.376889211575 37 | 36 0.375752263287 0.840335360236 0.375660037193 38 | 37 0.374046429695 0.8407960199 0.373932648692 39 | 38 0.372219176038 0.840427492169 0.372140709186 40 | 39 0.370044716885 0.83950617284 0.369991066507 41 | 40 0.368594327762 0.841072415699 0.368544776189 42 | 41 0.367121071133 0.841256679565 0.367099090403 43 | 42 0.365906841659 0.841072415699 0.365791765403 44 | 43 0.36460569042 0.841901603096 0.364447583682 45 | 44 0.363589716428 0.838124193846 0.363654080127 46 | 45 0.36135908591 0.842822922425 0.361512609812 47 | 46 0.359503658514 0.843007186291 0.359660956516 48 | 47 0.358036413305 0.842822922425 0.358218732909 49 | 48 0.356768480749 0.843191450157 0.356955442636 50 | 49 0.355404100461 0.842915054358 0.355611626727 51 | 50 0.353789095568 0.84392850562 0.354178638571 52 | -------------------------------------------------------------------------------- /output/credit.stat: -------------------------------------------------------------------------------- 1 | 1 0.640376227147 0.857798165138 0.640690337134 2 | 2 0.597335508222 0.857798165138 0.598029878386 3 | 3 0.561832245117 0.857798165138 0.562938679 4 | 4 0.532301011744 0.857798165138 0.533830965492 5 | 5 0.507583029927 0.857798165138 0.509535434476 6 | 6 0.486795935521 0.857798165138 0.489161825979 7 | 7 0.469252508743 0.857798165138 0.472017897055 8 | 8 0.454407638059 0.857798165138 0.457555368643 9 | 9 0.441822410208 0.857798165138 0.445333400787 10 | 10 0.431139030011 0.857798165138 0.43499312625 11 | 11 0.4224080684 0.857798165138 0.426338264283 12 | 12 0.414358366269 0.857798165138 0.42105418302 13 | 13 0.406251981888 0.857798165138 0.41310673007 14 | 14 0.399810748722 0.857798165138 0.406654466299 15 | 15 0.393713203249 0.857798165138 0.402853663779 16 | 16 0.387487755677 0.857798165138 0.396661782689 17 | 17 0.382281530593 0.857798165138 0.392151043476 18 | 18 0.377372839677 0.857798165138 0.388520878447 19 | 19 0.372791010893 0.857798165138 0.385748861431 20 | 20 0.368265324847 0.857798165138 0.381146584952 21 | 21 0.364510191773 0.857798165138 0.378469611281 22 | 22 0.360896829884 0.857798165138 0.374685340121 23 | 23 0.357394334684 0.857798165138 0.37268353766 24 | 24 0.354352039408 0.857798165138 0.370075993735 25 | 25 0.351174815924 0.857798165138 0.366761095937 26 | 26 0.34847190223 0.857798165138 0.364941667502 27 | 27 0.345747590099 0.857798165138 0.363454618103 28 | 28 0.343268219511 0.857798165138 0.360802568469 29 | 29 0.341164232376 0.857798165138 0.359041336315 30 | 30 0.339126379414 0.857798165138 0.357770638248 31 | 31 0.336978081446 0.857798165138 0.35666219999 32 | 32 0.335113181702 0.857798165138 0.354574019496 33 | 33 0.333514208913 0.857798165138 0.353497364991 34 | 34 0.331916865637 0.857798165138 0.352370731793 35 | 35 0.330242077515 0.857798165138 0.350512528177 36 | 36 0.328798079375 0.857798165138 0.348673876085 37 | 37 0.326338469177 0.857798165138 0.350809968735 38 | 38 0.324824762582 0.857798165138 0.350229884548 39 | 39 0.323200579543 0.857798165138 0.347243535627 40 | 40 0.321978735119 0.857798165138 0.346529057429 41 | 41 0.320786435022 0.857798165138 0.345634505785 42 | 42 0.319568175245 0.857798165138 0.344276311149 43 | 43 0.318500369709 0.857798165138 0.343141193096 44 | 44 0.317320879378 0.857798165138 0.341599021192 45 | 45 0.316041090675 0.857798165138 0.34006342346 46 | 46 0.315272148545 0.853211009174 0.341556920245 47 | 47 0.314175254649 0.853211009174 0.340982067487 48 | 48 0.313156690565 0.853211009174 0.340073482922 49 | 49 0.312125165896 0.853211009174 0.338853429908 50 | 50 0.311108486156 0.853211009174 0.338256495418 51 | 51 0.310004208387 0.857798165138 0.337770689572 52 | 52 0.309095492824 0.857798165138 0.336805632798 53 | 53 0.308130234626 0.857798165138 0.336094674266 54 | 54 0.307212622015 0.857798165138 0.336764147928 55 | 55 0.306225406468 0.857798165138 0.335469596943 56 | 56 0.305302366313 0.853211009174 0.335984780778 57 | 57 0.304399461928 0.862385321101 0.334772509009 58 | 58 0.303850545205 0.862385321101 0.333641657205 59 | 59 0.302825556386 0.862385321101 0.332434539433 60 | 60 0.302315653938 0.862385321101 0.332351877578 61 | 61 0.30147258596 0.862385321101 0.331221282518 62 | 62 0.300598161686 0.857798165138 0.331926504257 63 | 63 0.299807203429 0.862385321101 0.332628364695 64 | 64 0.299333185662 0.862385321101 0.333836345394 65 | 65 0.298388634999 0.857798165138 0.332604058082 66 | 66 0.297519702824 0.862385321101 0.332282827128 67 | 67 0.296755578224 0.862385321101 0.331190888486 68 | 68 0.295952607754 0.862385321101 0.330817608601 69 | 69 0.295175219824 0.862385321101 0.329984811969 70 | 70 0.294381610809 0.862385321101 0.329390991666 71 | 71 0.29396714541 0.862385321101 0.329354494155 72 | 72 0.293193637708 0.862385321101 0.328313073267 73 | 73 0.292425775709 0.862385321101 0.32900285096 74 | 74 0.291550180753 0.862385321101 0.328686429176 75 | 75 0.290551094763 0.862385321101 0.328242662991 76 | 76 0.290189212239 0.862385321101 0.329357000652 77 | 77 0.28982790609 0.862385321101 0.32857760535 78 | 78 0.28915002661 0.862385321101 0.329305684141 79 | 79 0.288415086692 0.862385321101 0.328297425404 80 | 80 0.287747238506 0.862385321101 0.328991777692 81 | 81 0.287051770282 0.862385321101 0.328654940782 82 | 82 0.286376630294 0.862385321101 0.327659611371 83 | 83 0.285728115435 0.862385321101 0.327497878737 84 | 84 0.285410199035 0.862385321101 0.327483104441 85 | 85 0.28476031234 0.862385321101 0.326776213381 86 | 86 0.284108558231 0.862385321101 0.325876300262 87 | 87 0.283442993046 0.862385321101 0.325387891376 88 | 88 0.282883835912 0.857798165138 0.325910339705 89 | 89 0.282280883565 0.857798165138 0.326661071797 90 | 90 0.281661966331 0.857798165138 0.325818218658 91 | 91 0.280930339076 0.857798165138 0.325655491225 92 | 92 0.280172723463 0.857798165138 0.325630550003 93 | 93 0.279615505092 0.857798165138 0.326167701335 94 | 94 0.279005605113 0.857798165138 0.325382433368 95 | 95 0.278726423582 0.857798165138 0.326402539189 96 | 96 0.278050734075 0.857798165138 0.325395934743 97 | 97 0.277777730686 0.857798165138 0.325393530382 98 | 98 0.27721394437 0.857798165138 0.326060854335 99 | 99 0.276650905623 0.857798165138 0.325256311529 100 | 100 0.276114762748 0.857798165138 0.324492655234 101 | 101 0.275572554105 0.853211009174 0.323726215837 102 | 102 0.275039983221 0.857798165138 0.324395682833 103 | 103 0.27452214399 0.853211009174 0.32515650077 104 | 104 0.274067612254 0.857798165138 0.325730981572 105 | 105 0.273532504393 0.853211009174 0.325527374346 106 | 106 0.273295929059 0.853211009174 0.326506364999 107 | 107 0.272777611114 0.853211009174 0.326422795974 108 | 108 0.272543798577 0.853211009174 0.326426715003 109 | 109 0.2719920674 0.853211009174 0.326027808832 110 | 110 0.271451626726 0.857798165138 0.325413094862 111 | 111 0.270937731117 0.857798165138 0.324741575491 112 | 112 0.270434904007 0.857798165138 0.324340053614 113 | 113 0.269892102898 0.857798165138 0.324311636762 114 | 114 0.269423392632 0.857798165138 0.323703268905 115 | 115 0.268870916609 0.857798165138 0.322851810346 116 | 116 0.268410267499 0.857798165138 0.323619667938 117 | 117 0.268202231691 0.857798165138 0.323008181726 118 | 118 0.267732097039 0.853211009174 0.322340573739 119 | 119 0.267259763336 0.857798165138 0.321561149776 120 | 120 0.266791403029 0.853211009174 0.322203963247 121 | 121 0.26657926674 0.853211009174 0.322214131018 122 | 122 0.265869698011 0.853211009174 0.321991824502 123 | 123 0.26548408112 0.853211009174 0.322553635261 124 | 124 0.265033952736 0.853211009174 0.321917805293 125 | 125 0.264837916624 0.853211009174 0.322824237947 126 | 126 0.264436669871 0.853211009174 0.32320449362 127 | 127 0.26398837959 0.853211009174 0.322594730594 128 | 128 0.263426671423 0.857798165138 0.322576487001 129 | 129 0.263013584989 0.857798165138 0.323209729969 130 | 130 0.262819233654 0.857798165138 0.32322190183 131 | 131 0.262418071198 0.857798165138 0.322534521779 132 | 132 0.262000652404 0.857798165138 0.322586074893 133 | 133 0.26154243686 0.857798165138 0.322243716429 134 | 134 0.261125362935 0.857798165138 0.321683406951 135 | 135 0.260721171083 0.857798165138 0.32246479051 136 | 136 0.260198570599 0.857798165138 0.321995344953 137 | 137 0.259864888381 0.853211009174 0.322599195844 138 | 138 0.259429984903 0.857798165138 0.322056002354 139 | 139 0.25903183209 0.857798165138 0.32174562775 140 | 140 0.258861597283 0.857798165138 0.321759948643 141 | 141 0.258406502364 0.853211009174 0.320993325288 142 | 142 0.258043248648 0.857798165138 0.321597824933 143 | 143 0.257649634516 0.857798165138 0.321025335484 144 | 144 0.25748194363 0.857798165138 0.321877979419 145 | 145 0.257065096314 0.857798165138 0.321454436084 146 | 146 0.256634610556 0.853211009174 0.321545614979 147 | 147 0.25647557436 0.853211009174 0.321025450427 148 | 148 0.256100984704 0.853211009174 0.320510960275 149 | 149 0.255745954009 0.857798165138 0.32111159167 150 | 150 0.255392328977 0.853211009174 0.321887936311 151 | 151 0.254815165141 0.853211009174 0.321780439408 152 | 152 0.254533057452 0.853211009174 0.322357484131 153 | 153 0.254181799522 0.853211009174 0.321851405174 154 | 154 0.25402854511 0.853211009174 0.321867530885 155 | 155 0.253679534604 0.853211009174 0.321596796544 156 | 156 0.253278784945 0.853211009174 0.320875836626 157 | 157 0.252885703981 0.853211009174 0.320584592506 158 | 158 0.252736427256 0.853211009174 0.321423079742 159 | 159 0.252395159968 0.853211009174 0.320945590776 160 | 160 0.252077784973 0.853211009174 0.321313638206 161 | 161 0.251930198992 0.853211009174 0.321330494951 162 | 162 0.251593172064 0.853211009174 0.321289228095 163 | 163 0.251149230454 0.853211009174 0.321389915279 164 | 164 0.250839176368 0.853211009174 0.321971014815 165 | 165 0.250506715124 0.853211009174 0.321507315711 166 | 166 0.250209739157 0.853211009174 0.32094672091 167 | 167 0.249891466017 0.853211009174 0.321073022898 168 | 168 0.249574216706 0.853211009174 0.321852154385 169 | 169 0.249327845685 0.853211009174 0.322451799207 170 | 170 0.248984664169 0.853211009174 0.321982729621 171 | 171 0.248685664392 0.853211009174 0.321667384159 172 | 172 0.248554954746 0.853211009174 0.322488241999 173 | 173 0.248270234035 0.853211009174 0.323049662932 174 | 174 0.248138479991 0.853211009174 0.323066894781 175 | 175 0.247796625068 0.853211009174 0.322823436966 176 | 176 0.247468681471 0.853211009174 0.322991922506 177 | 177 0.24715126838 0.853211009174 0.322650115385 178 | 178 0.246883726837 0.853211009174 0.322849395015 179 | 179 0.246549570924 0.853211009174 0.322213115013 180 | 180 0.246271441002 0.853211009174 0.32297523167 181 | 181 0.245974218049 0.853211009174 0.322471508795 182 | 182 0.245690934083 0.853211009174 0.322240520592 183 | 183 0.24521513693 0.853211009174 0.322189374031 184 | 184 0.244939996113 0.853211009174 0.321810557325 185 | 185 0.244663344358 0.853211009174 0.322253540686 186 | 186 0.244542124528 0.853211009174 0.322271541727 187 | 187 0.244329309021 0.853211009174 0.322848495426 188 | 188 0.24421228522 0.853211009174 0.322395391454 189 | 189 0.243944510982 0.853211009174 0.322395867793 190 | 190 0.243703616387 0.853211009174 0.32276972494 191 | 191 0.243422113743 0.853211009174 0.322367987258 192 | 192 0.243304021011 0.853211009174 0.323168918988 193 | 193 0.242948804317 0.853211009174 0.323346874426 194 | 194 0.24271423023 0.853211009174 0.322864360977 195 | 195 0.242459699227 0.853211009174 0.323021124766 196 | 196 0.242222526279 0.853211009174 0.323020204365 197 | 197 0.241963637115 0.853211009174 0.323772081904 198 | 198 0.241719940485 0.853211009174 0.324522243259 199 | 199 0.241429748996 0.853211009174 0.323916135987 200 | 200 0.241133610656 0.853211009174 0.323719365327 201 | 201 0.24101579168 0.853211009174 0.323737414655 202 | 202 0.240773646412 0.853211009174 0.323362908488 203 | 203 0.240517548868 0.853211009174 0.323150368247 204 | 204 0.240233511519 0.853211009174 0.322736787515 205 | 205 0.240005995534 0.853211009174 0.323153101726 206 | 206 0.239745102808 0.853211009174 0.322776059699 207 | 207 0.239477104492 0.853211009174 0.323003678182 208 | 208 0.239235975083 0.853211009174 0.322728442983 209 | 209 0.239050649336 0.853211009174 0.32330889568 210 | 210 0.238821318302 0.853211009174 0.323486916967 211 | 211 0.238717536363 0.853211009174 0.324264855504 212 | 212 0.238614662874 0.853211009174 0.324282185049 213 | 213 0.238405643754 0.853211009174 0.324302785879 214 | 214 0.238005948627 0.853211009174 0.32433426188 215 | 215 0.237785162763 0.853211009174 0.324013267516 216 | 216 0.237551006494 0.857798165138 0.323815454127 217 | 217 0.237334727485 0.853211009174 0.32422338601 218 | 218 0.237071449792 0.853211009174 0.323654447125 219 | 219 0.236851422737 0.853211009174 0.324399490628 220 | 220 0.236623384505 0.853211009174 0.324055688275 221 | 221 0.236415937363 0.853211009174 0.324069345478 222 | 222 0.236185195238 0.853211009174 0.324824688909 223 | 223 0.235963626749 0.853211009174 0.324862733322 224 | 224 0.235766063386 0.853211009174 0.325270564032 225 | 225 0.235663576484 0.853211009174 0.324853825004 226 | 226 0.235399351828 0.857798165138 0.324691124168 227 | 227 0.23520392474 0.857798165138 0.324884468705 228 | 228 0.234981102071 0.857798165138 0.324622132431 229 | 229 0.234791269315 0.857798165138 0.324985014695 230 | 230 0.234584105542 0.857798165138 0.325163340529 231 | 231 0.234489128969 0.857798165138 0.325180412463 232 | 232 0.234327068071 0.857798165138 0.325751594237 233 | 233 0.234139669927 0.857798165138 0.325325831132 234 | 234 0.233928650373 0.853211009174 0.325104567336 235 | 235 0.233725215319 0.857798165138 0.325849104486 236 | 236 0.23349136967 0.853211009174 0.325321433527 237 | 237 0.233295554162 0.853211009174 0.325724374263 238 | 238 0.23320272091 0.853211009174 0.326472227274 239 | 239 0.232996671143 0.853211009174 0.326142209928 240 | 240 0.232821072049 0.853211009174 0.326562015508 241 | 241 0.232729975893 0.853211009174 0.326181197592 242 | 242 0.232551178876 0.853211009174 0.326189096015 243 | 243 0.232360885441 0.853211009174 0.326938809283 244 | 244 0.232132913466 0.853211009174 0.326896610297 245 | 245 0.231933014822 0.853211009174 0.326721631195 246 | 246 0.231743281458 0.853211009174 0.326434775437 247 | 247 0.231390606783 0.853211009174 0.326542229103 248 | 248 0.231245198318 0.853211009174 0.327116034033 249 | 249 0.230961406502 0.853211009174 0.326881322054 250 | 250 0.230806646369 0.857798165138 0.326916567343 251 | 251 0.230626962625 0.857798165138 0.327316306235 252 | 252 0.230541343268 0.857798165138 0.328067193509 253 | 253 0.230355334504 0.857798165138 0.327819293862 254 | 254 0.230159569578 0.857798165138 0.32788880212 255 | 255 0.229888247587 0.857798165138 0.328111199984 256 | 256 0.229673217086 0.857798165138 0.327759697238 257 | 257 0.229486475286 0.857798165138 0.327439444893 258 | 258 0.229305416584 0.857798165138 0.327280679306 259 | 259 0.229123738423 0.857798165138 0.328011561007 260 | 260 0.228895067136 0.857798165138 0.327882874927 261 | 261 0.228808351578 0.857798165138 0.327899388279 262 | 262 0.228592590688 0.857798165138 0.327386752245 263 | 263 0.22843062041 0.857798165138 0.327821659797 264 | 264 0.228272105746 0.857798165138 0.328013262116 265 | 265 0.22817083184 0.857798165138 0.328208870716 266 | 266 0.227990429743 0.857798165138 0.327957080617 267 | 267 0.227811512245 0.862385321101 0.328119423781 268 | 268 0.22761141565 0.862385321101 0.328402961634 269 | 269 0.227440871997 0.862385321101 0.328168593608 270 | 270 0.227360226635 0.862385321101 0.327810001249 271 | 271 0.227255605459 0.862385321101 0.32828832242 272 | 272 0.227084951679 0.862385321101 0.32802887678 273 | 273 0.226930478701 0.862385321101 0.328037600113 274 | 274 0.226801286914 0.862385321101 0.328613800633 275 | 275 0.226600704137 0.862385321101 0.328597151398 276 | 276 0.226518704234 0.862385321101 0.329343298498 277 | 277 0.226352470486 0.862385321101 0.330064669966 278 | 278 0.226183292293 0.862385321101 0.330116564444 279 | 279 0.226021116644 0.862385321101 0.329981194291 280 | 280 0.225861926501 0.862385321101 0.330742395299 281 | 281 0.225699472729 0.862385321101 0.330563406845 282 | 282 0.225621012797 0.862385321101 0.330578225551 283 | 283 0.225406905223 0.862385321101 0.330478995722 284 | 284 0.225215350725 0.862385321101 0.330004666462 285 | 285 0.225056130384 0.857798165138 0.330380703926 286 | 286 0.224910162154 0.857798165138 0.330845353722 287 | 287 0.22474622289 0.857798165138 0.330604072406 288 | 288 0.224580751411 0.857798165138 0.330767843934 289 | 289 0.224506028044 0.857798165138 0.331512692075 290 | 290 0.224346388742 0.862385321101 0.331210601335 291 | 291 0.224197668749 0.857798165138 0.331577438961 292 | 292 0.223955087653 0.857798165138 0.331364825258 293 | 293 0.223860063102 0.857798165138 0.331875111305 294 | 294 0.223633124128 0.857798165138 0.33211633644 295 | 295 0.22347356873 0.857798165138 0.331873510149 296 | 296 0.223399549418 0.857798165138 0.331523490608 297 | 297 0.223243710547 0.857798165138 0.331197877733 298 | 298 0.223061598153 0.862385321101 0.331351993695 299 | 299 0.222919243411 0.857798165138 0.33099818089 300 | 300 0.222786878074 0.857798165138 0.331471089585 301 | 301 0.22270174872 0.857798165138 0.331656186375 302 | 302 0.222628311602 0.857798165138 0.331670377922 303 | 303 0.222481871417 0.857798165138 0.331539639907 304 | 304 0.22232895912 0.857798165138 0.33130036811 305 | 305 0.222146513546 0.857798165138 0.331286316579 306 | 306 0.22200180577 0.857798165138 0.331987533685 307 | 307 0.221854619611 0.857798165138 0.332148597701 308 | 308 0.221708852392 0.862385321101 0.332033300287 309 | 309 0.221535018443 0.857798165138 0.331581031169 310 | 310 0.221404702459 0.857798165138 0.331589559086 311 | 311 0.221260455358 0.857798165138 0.332355182291 312 | 312 0.221096377493 0.857798165138 0.331663192607 313 | 313 0.220827274727 0.857798165138 0.331809261298 314 | 314 0.220714756785 0.857798165138 0.332391381716 315 | 315 0.220583979557 0.853211009174 0.332414783436 316 | 316 0.220436186727 0.857798165138 0.332116859801 317 | 317 0.220365522019 0.857798165138 0.332855748715 318 | 318 0.220295105755 0.857798165138 0.33252472215 319 | 319 0.22015297969 0.857798165138 0.332979142355 320 | 320 0.220071697843 0.857798165138 0.333162315757 321 | 321 0.219866340177 0.857798165138 0.333397689156 322 | 322 0.219798758271 0.857798165138 0.333411156946 323 | 323 0.219615559993 0.857798165138 0.333345179608 324 | 324 0.219448961048 0.853211009174 0.333359179706 325 | 325 0.21932071494 0.857798165138 0.333001484915 326 | 326 0.21918117333 0.853211009174 0.332754056785 327 | 327 0.219042977802 0.853211009174 0.332825937079 328 | 328 0.218961664174 0.853211009174 0.333376076451 329 | 329 0.218832670151 0.853211009174 0.334056316256 330 | 330 0.218675078829 0.857798165138 0.333748357794 331 | 331 0.218554848927 0.857798165138 0.333936233246 332 | 332 0.218418817977 0.857798165138 0.333709898303 333 | 333 0.218278537328 0.857798165138 0.333879795486 334 | 334 0.218154330462 0.857798165138 0.334320668352 335 | 335 0.218086225403 0.862385321101 0.333995933968 336 | 336 0.217927482834 0.857798165138 0.333560546342 337 | 337 0.217796395368 0.857798165138 0.333451768053 338 | 338 0.217676653231 0.857798165138 0.333469653475 339 | 339 0.217552910881 0.857798165138 0.33422117758 340 | 340 0.217402092727 0.857798165138 0.333549159466 341 | 341 0.217274486304 0.857798165138 0.333345569706 342 | 342 0.21706788978 0.857798165138 0.333110574733 343 | 343 0.216967286407 0.857798165138 0.333684095931 344 | 344 0.216846670011 0.853211009174 0.334034040238 345 | 345 0.216710741227 0.857798165138 0.333743685262 346 | 346 0.216645645358 0.857798165138 0.334472619807 347 | 347 0.216407259327 0.862385321101 0.334651483745 348 | 348 0.21629884223 0.862385321101 0.335136683694 349 | 349 0.216170073674 0.862385321101 0.335236589474 350 | 350 0.216046689342 0.862385321101 0.335916507436 351 | 351 0.215921370759 0.857798165138 0.335815075843 352 | 352 0.215755786036 0.857798165138 0.33576974508 353 | 353 0.215610187773 0.857798165138 0.335346846144 354 | 354 0.215547000684 0.857798165138 0.335359911234 355 | 355 0.215474770914 0.857798165138 0.33553992275 356 | 356 0.215350965123 0.857798165138 0.335323555511 357 | 357 0.215235079851 0.862385321101 0.336073105167 358 | 358 0.21515469952 0.862385321101 0.335855109198 359 | 359 0.215083629385 0.862385321101 0.336034730164 360 | 360 0.2149754783 0.857798165138 0.336056366425 361 | 361 0.214853947418 0.857798165138 0.33622607206 362 | 362 0.214725731999 0.857798165138 0.336524779723 363 | 363 0.214579865594 0.857798165138 0.336552675878 364 | 364 0.214517497912 0.862385321101 0.336244835724 365 | 365 0.214456009295 0.862385321101 0.336978295959 366 | 366 0.214337154849 0.862385321101 0.336786441383 367 | 367 0.214263771044 0.862385321101 0.337386395209 368 | 368 0.21418552189 0.862385321101 0.337174627359 369 | 369 0.214116477119 0.862385321101 0.337352367387 370 | 370 0.21402035353 0.862385321101 0.33746171285 371 | 371 0.213959813938 0.862385321101 0.337473909835 372 | 372 0.213856113947 0.862385321101 0.337781899036 373 | 373 0.213759579306 0.862385321101 0.337528626444 374 | 374 0.213615636262 0.862385321101 0.33772050692 375 | 375 0.213504126805 0.862385321101 0.337529986138 376 | 376 0.213321999461 0.862385321101 0.337764090559 377 | 377 0.213180240841 0.862385321101 0.33710196833 378 | 378 0.213114583043 0.862385321101 0.337279739624 379 | 379 0.213036584379 0.862385321101 0.337067987092 380 | 380 0.212971458548 0.862385321101 0.337245167262 381 | 381 0.212905149972 0.862385321101 0.337045752446 382 | 382 0.212797886645 0.862385321101 0.337463548833 383 | 383 0.212677930635 0.862385321101 0.33718624024 384 | 384 0.21254478052 0.862385321101 0.336785838177 385 | 385 0.212435223679 0.857798165138 0.337235583508 386 | 386 0.212369204158 0.857798165138 0.337416524611 387 | 387 0.212310491155 0.862385321101 0.337132048744 388 | 388 0.212246198633 0.857798165138 0.33693682586 389 | 389 0.212181638091 0.862385321101 0.337116086044 390 | 390 0.212069648005 0.862385321101 0.337282089937 391 | 391 0.211947884969 0.862385321101 0.337583355047 392 | 392 0.211837983477 0.862385321101 0.337169942431 393 | 393 0.21172790448 0.862385321101 0.337922892432 394 | 394 0.211616153313 0.862385321101 0.338588919249 395 | 395 0.211506627774 0.857798165138 0.338497724798 396 | 396 0.211392518883 0.862385321101 0.338316819586 397 | 397 0.211307518004 0.857798165138 0.338875245426 398 | 398 0.211101509805 0.857798165138 0.33869701265 399 | 399 0.210909692959 0.862385321101 0.33843941975 400 | 400 0.210813987935 0.862385321101 0.338946757417 401 | 401 0.2107014098 0.862385321101 0.339046647589 402 | 402 0.210589487711 0.857798165138 0.339351216213 403 | 403 0.210475802352 0.857798165138 0.339122288147 404 | 404 0.210372861682 0.857798165138 0.339541312648 405 | 405 0.21030967239 0.857798165138 0.339353076879 406 | 406 0.210246567081 0.857798165138 0.339530243117 407 | 407 0.210185019321 0.857798165138 0.339346606448 408 | 408 0.210123491904 0.857798165138 0.339521907562 409 | 409 0.210066291321 0.857798165138 0.340256229942 410 | 410 0.209952848035 0.853211009174 0.339985234747 411 | 411 0.209813242008 0.853211009174 0.340004278305 412 | 412 0.209756089634 0.853211009174 0.339740852378 413 | 413 0.209661620021 0.853211009174 0.339767609588 414 | 414 0.209579633811 0.853211009174 0.339552709297 415 | 415 0.209480127266 0.857798165138 0.339862728968 416 | 416 0.209352996614 0.853211009174 0.339583956949 417 | 417 0.209289692872 0.853211009174 0.339401611534 418 | 418 0.209180819793 0.853211009174 0.339511658543 419 | 419 0.209071982185 0.853211009174 0.339211583873 420 | 420 0.209014160541 0.853211009174 0.339378101471 421 | 421 0.208927623811 0.853211009174 0.339163414184 422 | 422 0.208847637185 0.848623853211 0.339720014697 423 | 423 0.208724366401 0.848623853211 0.339325871931 424 | 424 0.208615005176 0.853211009174 0.339116185573 425 | 425 0.208511442084 0.853211009174 0.339769823762 426 | 426 0.208415406326 0.853211009174 0.339950280024 427 | 427 0.208268997261 0.853211009174 0.339927888598 428 | 428 0.20818021988 0.853211009174 0.340222257046 429 | 429 0.208121473082 0.853211009174 0.340054294168 430 | 430 0.208061283315 0.853211009174 0.3402217673 431 | 431 0.208005653455 0.853211009174 0.340233226479 432 | 432 0.207903482499 0.853211009174 0.340070029804 433 | 433 0.207785842124 0.848623853211 0.340390751819 434 | 434 0.20768527302 0.853211009174 0.340304072672 435 | 435 0.207581893397 0.848623853211 0.340480251309 436 | 436 0.207470758712 0.853211009174 0.340773911345 437 | 437 0.207375700919 0.853211009174 0.341518605685 438 | 438 0.207246262111 0.853211009174 0.340856831106 439 | 439 0.207081536832 0.853211009174 0.34108990946 440 | 440 0.206981117178 0.848623853211 0.34066870208 441 | 441 0.206891419116 0.853211009174 0.341179725278 442 | 442 0.206834134505 0.853211009174 0.341351784844 443 | 443 0.206773954422 0.853211009174 0.341175907601 444 | 444 0.206717808247 0.853211009174 0.341346522771 445 | 445 0.206637335877 0.853211009174 0.341139564168 446 | 446 0.206542131662 0.853211009174 0.340848157234 447 | 447 0.206424895739 0.848623853211 0.340586602743 448 | 448 0.206368556863 0.848623853211 0.340421705086 449 | 449 0.206309971972 0.848623853211 0.340593385869 450 | 450 0.206255100065 0.848623853211 0.340431959095 451 | 451 0.206198399955 0.848623853211 0.340601347968 452 | 452 0.206110540136 0.848623853211 0.340634075495 453 | 453 0.206048109001 0.848623853211 0.341275214225 454 | 454 0.205948838558 0.848623853211 0.341446719133 455 | 455 0.20584494114 0.848623853211 0.341244025146 456 | 456 0.205768781364 0.848623853211 0.341052617037 457 | 457 0.205674342479 0.848623853211 0.341813773912 458 | 458 0.205621292955 0.848623853211 0.342538986721 459 | 459 0.205448294028 0.848623853211 0.342272257069 460 | 460 0.205257535912 0.848623853211 0.342142446838 461 | 461 0.205173173334 0.848623853211 0.342437826399 462 | 462 0.20507638869 0.848623853211 0.343085290228 463 | 463 0.204963303766 0.853211009174 0.342698595148 464 | 464 0.204871764229 0.853211009174 0.34253370397 465 | 465 0.204739029234 0.853211009174 0.342525276235 466 | 466 0.204654883895 0.857798165138 0.343042556396 467 | 467 0.204532907374 0.857798165138 0.342398698525 468 | 468 0.204436331844 0.857798165138 0.342568406647 469 | 469 0.204335335138 0.853211009174 0.342864511092 470 | 470 0.204239383839 0.853211009174 0.342709876985 471 | 471 0.204146179318 0.853211009174 0.342631004743 472 | 472 0.204056334628 0.853211009174 0.343386308523 473 | 473 0.20398466721 0.853211009174 0.343204415071 474 | 474 0.203927896195 0.853211009174 0.343373279352 475 | 475 0.203832101027 0.853211009174 0.342891266532 476 | 476 0.203740123182 0.853211009174 0.342838493833 477 | 477 0.203688117182 0.853211009174 0.342684003386 478 | 478 0.203634051889 0.853211009174 0.342851561901 479 | 479 0.203583464394 0.853211009174 0.34270013088 480 | 480 0.203531223065 0.853211009174 0.342865286242 481 | 481 0.203482060854 0.853211009174 0.342716871179 482 | 482 0.203393502879 0.857798165138 0.343034830325 483 | 483 0.203294300139 0.853211009174 0.342775533111 484 | 484 0.203176458811 0.853211009174 0.342802136189 485 | 485 0.203124411666 0.853211009174 0.342568502016 486 | 486 0.203072771302 0.853211009174 0.343296630934 487 | 487 0.202980574504 0.853211009174 0.34358859882 488 | 488 0.202881490889 0.853211009174 0.343698072636 489 | 489 0.202790939797 0.853211009174 0.343918563977 490 | 490 0.202740724088 0.853211009174 0.34408049184 491 | 491 0.202689700015 0.853211009174 0.34409158837 492 | 492 0.202608134533 0.853211009174 0.344128220995 493 | 493 0.202518252243 0.853211009174 0.344761152933 494 | 494 0.202411627848 0.853211009174 0.344387655627 495 | 495 0.202354964669 0.853211009174 0.345044812606 496 | 496 0.202263215841 0.853211009174 0.344859550541 497 | 497 0.20217296798 0.853211009174 0.344714338692 498 | 498 0.202096744023 0.853211009174 0.345003592992 499 | 499 0.202027383309 0.853211009174 0.34482292831 500 | 500 0.201977860917 0.853211009174 0.344989523039 501 | -------------------------------------------------------------------------------- /output/stand.out: -------------------------------------------------------------------------------- 1 | Model parameters configuration:[max_iter=500,sample_rate=0.400000,learn_rate=0.100000,max_depth=1,split_points=1000] 2 | features:('age', 'workclass', 'fnlwgt', 'education', 'education-num', 'marital-status', 'occupation', 'relationship', 'race', 'sex', 'capital-gain', 'capital-loss', 'hours-per-week', 'native-country', 'label') 3 | 4 | dataset size=32561 5 | description for field:age real value, distinct values number:73 range is [17.0,90.0] 6 | ############################################################ 7 | description for field:workclass enum type, distinct values number:9 valueset=set([' Private', ' Self-emp-inc', ' State-gov', ' Local-gov', ' Without-pay', ' Self-emp-not-inc', ' Federal-gov', ' Never-worked', ' ?']) 8 | ############################################################ 9 | description for field:fnlwgt real value, distinct values number:21648 range is [12285.0,1484705.0] 10 | ############################################################ 11 | description for field:education enum type, distinct values number:16 valueset=set([' 7th-8th', ' Prof-school', ' 1st-4th', ' Assoc-voc', ' Masters', ' Assoc-acdm', ' 9th', ' Doctorate', ' Bachelors', ' 5th-6th', ' Some-college', ' 10th', ' 11th', ' HS-grad', ' Preschool', ' 12th']) 12 | ############################################################ 13 | description for field:education-num real value, distinct values number:16 range is [1.0,16.0] 14 | ############################################################ 15 | description for field:marital-status enum type, distinct values number:7 valueset=set([' Separated', ' Divorced', ' Married-spouse-absent', ' Widowed', ' Married-AF-spouse', ' Never-married', ' Married-civ-spouse']) 16 | ############################################################ 17 | description for field:occupation enum type, distinct values number:15 valueset=set([' Armed-Forces', ' Craft-repair', ' Other-service', ' Transport-moving', ' Prof-specialty', ' Sales', ' Machine-op-inspct', ' Exec-managerial', ' Handlers-cleaners', ' Protective-serv', ' Adm-clerical', ' Tech-support', ' ?', ' Farming-fishing', ' Priv-house-serv']) 18 | ############################################################ 19 | description for field:relationship enum type, distinct values number:6 valueset=set([' Wife', ' Own-child', ' Unmarried', ' Husband', ' Other-relative', ' Not-in-family']) 20 | ############################################################ 21 | description for field:race enum type, distinct values number:5 valueset=set([' Asian-Pac-Islander', ' White', ' Other', ' Amer-Indian-Eskimo', ' Black']) 22 | ############################################################ 23 | description for field:sex enum type, distinct values number:2 valueset=set([' Male', ' Female']) 24 | ############################################################ 25 | description for field:capital-gain real value, distinct values number:119 range is [0.0,99999.0] 26 | ############################################################ 27 | description for field:capital-loss real value, distinct values number:92 range is [0.0,4356.0] 28 | ############################################################ 29 | description for field:hours-per-week real value, distinct values number:94 range is [1.0,99.0] 30 | ############################################################ 31 | description for field:native-country enum type, distinct values number:42 valueset=set([' Iran', ' Cuba', ' Puerto-Rico', ' Outlying-US(Guam-USVI-etc)', ' El-Salvador', ' Guatemala', ' Holand-Netherlands', ' United-States', ' China', ' Thailand', ' Haiti', ' Germany', ' Columbia', ' Hungary', ' Dominican-Republic', ' Poland', ' Philippines', ' Trinadad&Tobago', ' Vietnam', ' South', ' Honduras', ' Mexico', ' Portugal', ' England', ' Jamaica', ' India', ' Yugoslavia', ' Greece', ' Japan', ' Taiwan', ' ?', ' Nicaragua', ' Canada', ' Hong', ' Italy', ' Scotland', ' France', ' Cambodia', ' Ecuador', ' Laos', ' Peru', ' Ireland']) 32 | ############################################################ 33 | description for field:label enum type, distinct values number:2 valueset=set([' >50K', ' <=50K']) 34 | ############################################################ 35 | 36 | accuracy=0.761010,average train_loss=0.653664,average test_loss=0.653166 37 | stop iteration: 1 time now: 2013-03-01 10:02:08.607533 38 | 39 | 40 | accuracy=0.761010,average train_loss=0.621538,average test_loss=0.620645 41 | stop iteration: 2 time now: 2013-03-01 10:02:36.586294 42 | 43 | 44 | accuracy=0.798507,average train_loss=0.595366,average test_loss=0.594306 45 | stop iteration: 3 time now: 2013-03-01 10:03:05.176546 46 | 47 | 48 | accuracy=0.798507,average train_loss=0.572584,average test_loss=0.571277 49 | stop iteration: 4 time now: 2013-03-01 10:03:33.669141 50 | 51 | 52 | accuracy=0.798507,average train_loss=0.552853,average test_loss=0.551339 53 | stop iteration: 5 time now: 2013-03-01 10:04:02.332162 54 | 55 | 56 | accuracy=0.798507,average train_loss=0.535927,average test_loss=0.534354 57 | stop iteration: 6 time now: 2013-03-01 10:04:30.911798 58 | 59 | 60 | accuracy=0.798507,average train_loss=0.521196,average test_loss=0.519436 61 | stop iteration: 7 time now: 2013-03-01 10:04:59.593261 62 | 63 | 64 | accuracy=0.798507,average train_loss=0.507304,average test_loss=0.505443 65 | stop iteration: 8 time now: 2013-03-01 10:05:28.340805 66 | 67 | 68 | accuracy=0.798507,average train_loss=0.495809,average test_loss=0.493931 69 | stop iteration: 9 time now: 2013-03-01 10:05:57.186678 70 | 71 | 72 | accuracy=0.798507,average train_loss=0.485220,average test_loss=0.483197 73 | stop iteration: 10 time now: 2013-03-01 10:06:26.042203 74 | 75 | 76 | accuracy=0.798507,average train_loss=0.474922,average test_loss=0.472872 77 | stop iteration: 11 time now: 2013-03-01 10:06:55.144258 78 | 79 | 80 | accuracy=0.798507,average train_loss=0.467208,average test_loss=0.465129 81 | stop iteration: 12 time now: 2013-03-01 10:07:24.121812 82 | 83 | 84 | accuracy=0.803298,average train_loss=0.460580,average test_loss=0.458471 85 | stop iteration: 13 time now: 2013-03-01 10:07:53.266800 86 | 87 | 88 | accuracy=0.803298,average train_loss=0.452693,average test_loss=0.450618 89 | stop iteration: 14 time now: 2013-03-01 10:08:22.594455 90 | 91 | 92 | accuracy=0.803298,average train_loss=0.446038,average test_loss=0.443856 93 | stop iteration: 15 time now: 2013-03-01 10:08:51.781686 94 | 95 | 96 | accuracy=0.803298,average train_loss=0.440725,average test_loss=0.438446 97 | stop iteration: 16 time now: 2013-03-01 10:09:21.102968 98 | 99 | 100 | accuracy=0.803298,average train_loss=0.434401,average test_loss=0.432181 101 | stop iteration: 17 time now: 2013-03-01 10:09:50.472452 102 | 103 | 104 | accuracy=0.798507,average train_loss=0.428966,average test_loss=0.426804 105 | stop iteration: 18 time now: 2013-03-01 10:10:19.865452 106 | 107 | 108 | accuracy=0.803298,average train_loss=0.425087,average test_loss=0.422999 109 | stop iteration: 19 time now: 2013-03-01 10:10:49.371358 110 | 111 | 112 | accuracy=0.803298,average train_loss=0.421612,average test_loss=0.419758 113 | stop iteration: 20 time now: 2013-03-01 10:11:18.942770 114 | 115 | 116 | accuracy=0.803298,average train_loss=0.417086,average test_loss=0.415314 117 | stop iteration: 21 time now: 2013-03-01 10:11:48.574325 118 | 119 | 120 | accuracy=0.822278,average train_loss=0.413414,average test_loss=0.411618 121 | stop iteration: 22 time now: 2013-03-01 10:12:18.234908 122 | 123 | 124 | accuracy=0.821540,average train_loss=0.409767,average test_loss=0.407876 125 | stop iteration: 23 time now: 2013-03-01 10:12:47.964167 126 | 127 | 128 | accuracy=0.813801,average train_loss=0.407419,average test_loss=0.405316 129 | stop iteration: 24 time now: 2013-03-01 10:13:17.761373 130 | 131 | 132 | accuracy=0.814262,average train_loss=0.404692,average test_loss=0.402630 133 | stop iteration: 25 time now: 2013-03-01 10:13:47.689822 134 | 135 | 136 | accuracy=0.814262,average train_loss=0.401696,average test_loss=0.399543 137 | stop iteration: 26 time now: 2013-03-01 10:14:17.727985 138 | 139 | 140 | accuracy=0.823015,average train_loss=0.399020,average test_loss=0.396730 141 | stop iteration: 27 time now: 2013-03-01 10:14:47.786501 142 | 143 | 144 | accuracy=0.823015,average train_loss=0.395941,average test_loss=0.393745 145 | stop iteration: 28 time now: 2013-03-01 10:15:17.980782 146 | 147 | 148 | accuracy=0.827529,average train_loss=0.394040,average test_loss=0.392023 149 | stop iteration: 29 time now: 2013-03-01 10:15:48.182115 150 | 151 | 152 | accuracy=0.827621,average train_loss=0.391966,average test_loss=0.390031 153 | stop iteration: 30 time now: 2013-03-01 10:16:18.448031 154 | 155 | 156 | accuracy=0.828082,average train_loss=0.389681,average test_loss=0.387722 157 | stop iteration: 31 time now: 2013-03-01 10:16:48.846349 158 | 159 | 160 | accuracy=0.828082,average train_loss=0.387047,average test_loss=0.385192 161 | stop iteration: 32 time now: 2013-03-01 10:17:19.249928 162 | 163 | 164 | accuracy=0.828358,average train_loss=0.384696,average test_loss=0.382948 165 | stop iteration: 33 time now: 2013-03-01 10:17:49.887051 166 | 167 | 168 | accuracy=0.828819,average train_loss=0.383129,average test_loss=0.381201 169 | stop iteration: 34 time now: 2013-03-01 10:18:20.563788 170 | 171 | 172 | accuracy=0.833425,average train_loss=0.381438,average test_loss=0.379338 173 | stop iteration: 35 time now: 2013-03-01 10:18:51.210543 174 | 175 | 176 | accuracy=0.833425,average train_loss=0.379714,average test_loss=0.377698 177 | stop iteration: 36 time now: 2013-03-01 10:19:21.959383 178 | 179 | 180 | accuracy=0.833425,average train_loss=0.378001,average test_loss=0.375961 181 | stop iteration: 37 time now: 2013-03-01 10:19:52.730781 182 | 183 | 184 | accuracy=0.837019,average train_loss=0.376331,average test_loss=0.374158 185 | stop iteration: 38 time now: 2013-03-01 10:20:23.563095 186 | 187 | 188 | accuracy=0.837019,average train_loss=0.375149,average test_loss=0.372861 189 | stop iteration: 39 time now: 2013-03-01 10:20:54.443016 190 | 191 | 192 | accuracy=0.837571,average train_loss=0.372891,average test_loss=0.370607 193 | stop iteration: 40 time now: 2013-03-01 10:21:25.404013 194 | 195 | 196 | accuracy=0.837571,average train_loss=0.371543,average test_loss=0.369153 197 | stop iteration: 41 time now: 2013-03-01 10:21:56.346191 198 | 199 | 200 | accuracy=0.842178,average train_loss=0.370305,average test_loss=0.367762 201 | stop iteration: 42 time now: 2013-03-01 10:22:27.356255 202 | 203 | 204 | accuracy=0.841994,average train_loss=0.369345,average test_loss=0.366919 205 | stop iteration: 43 time now: 2013-03-01 10:22:58.417670 206 | 207 | 208 | accuracy=0.838953,average train_loss=0.368053,average test_loss=0.365665 209 | stop iteration: 44 time now: 2013-03-01 10:23:29.632909 210 | 211 | 212 | accuracy=0.841994,average train_loss=0.366425,average test_loss=0.364144 213 | stop iteration: 45 time now: 2013-03-01 10:24:00.844964 214 | 215 | 216 | accuracy=0.841625,average train_loss=0.364956,average test_loss=0.362616 217 | stop iteration: 46 time now: 2013-03-01 10:24:32.171199 218 | 219 | 220 | accuracy=0.843284,average train_loss=0.363939,average test_loss=0.361479 221 | stop iteration: 47 time now: 2013-03-01 10:25:03.532354 222 | 223 | 224 | accuracy=0.843376,average train_loss=0.362718,average test_loss=0.360308 225 | stop iteration: 48 time now: 2013-03-01 10:25:34.742044 226 | 227 | 228 | accuracy=0.843099,average train_loss=0.361693,average test_loss=0.359243 229 | stop iteration: 49 time now: 2013-03-01 10:26:06.195420 230 | 231 | 232 | accuracy=0.843652,average train_loss=0.360270,average test_loss=0.357770 233 | stop iteration: 50 time now: 2013-03-01 10:26:37.993569 234 | 235 | 236 | accuracy=0.844850,average train_loss=0.359539,average test_loss=0.356950 237 | stop iteration: 51 time now: 2013-03-01 10:27:09.578358 238 | 239 | 240 | accuracy=0.845218,average train_loss=0.358490,average test_loss=0.355948 241 | stop iteration: 52 time now: 2013-03-01 10:27:41.325078 242 | 243 | 244 | accuracy=0.844942,average train_loss=0.357209,average test_loss=0.354779 245 | stop iteration: 53 time now: 2013-03-01 10:28:13.101004 246 | 247 | 248 | accuracy=0.845126,average train_loss=0.355725,average test_loss=0.353288 249 | stop iteration: 54 time now: 2013-03-01 10:28:45.005930 250 | 251 | 252 | accuracy=0.845403,average train_loss=0.354852,average test_loss=0.352473 253 | stop iteration: 55 time now: 2013-03-01 10:29:16.894940 254 | 255 | 256 | accuracy=0.845587,average train_loss=0.353482,average test_loss=0.351057 257 | stop iteration: 56 time now: 2013-03-01 10:29:48.938599 258 | 259 | 260 | accuracy=0.845587,average train_loss=0.352265,average test_loss=0.349918 261 | stop iteration: 57 time now: 2013-03-01 10:30:21.009015 262 | 263 | 264 | accuracy=0.845403,average train_loss=0.351486,average test_loss=0.349018 265 | stop iteration: 58 time now: 2013-03-01 10:30:53.162670 266 | 267 | 268 | accuracy=0.845403,average train_loss=0.350548,average test_loss=0.348026 269 | stop iteration: 59 time now: 2013-03-01 10:31:25.224888 270 | 271 | 272 | accuracy=0.845495,average train_loss=0.349544,average test_loss=0.347126 273 | stop iteration: 60 time now: 2013-03-01 10:31:57.434865 274 | 275 | 276 | accuracy=0.846232,average train_loss=0.348957,average test_loss=0.346479 277 | stop iteration: 61 time now: 2013-03-01 10:32:29.865432 278 | 279 | 280 | accuracy=0.846324,average train_loss=0.347922,average test_loss=0.345472 281 | stop iteration: 62 time now: 2013-03-01 10:33:02.278316 282 | 283 | 284 | accuracy=0.846969,average train_loss=0.347430,average test_loss=0.344928 285 | stop iteration: 63 time now: 2013-03-01 10:33:34.801108 286 | 287 | 288 | accuracy=0.849272,average train_loss=0.346557,average test_loss=0.343998 289 | stop iteration: 64 time now: 2013-03-01 10:34:07.229863 290 | 291 | 292 | accuracy=0.850470,average train_loss=0.345585,average test_loss=0.343041 293 | stop iteration: 65 time now: 2013-03-01 10:34:39.841760 294 | 295 | 296 | accuracy=0.850562,average train_loss=0.345136,average test_loss=0.342664 297 | stop iteration: 66 time now: 2013-03-01 10:35:12.649451 298 | 299 | 300 | accuracy=0.850470,average train_loss=0.344451,average test_loss=0.341925 301 | stop iteration: 67 time now: 2013-03-01 10:35:45.322684 302 | 303 | 304 | accuracy=0.850746,average train_loss=0.343936,average test_loss=0.341360 305 | stop iteration: 68 time now: 2013-03-01 10:36:18.115080 306 | 307 | 308 | accuracy=0.849917,average train_loss=0.343221,average test_loss=0.340542 309 | stop iteration: 69 time now: 2013-03-01 10:36:51.182758 310 | 311 | 312 | accuracy=0.850009,average train_loss=0.342816,average test_loss=0.340090 313 | stop iteration: 70 time now: 2013-03-01 10:37:23.978525 314 | 315 | 316 | accuracy=0.850101,average train_loss=0.342012,average test_loss=0.339332 317 | stop iteration: 71 time now: 2013-03-01 10:37:57.005694 318 | 319 | 320 | accuracy=0.850286,average train_loss=0.341143,average test_loss=0.338581 321 | stop iteration: 72 time now: 2013-03-01 10:38:30.036570 322 | 323 | 324 | accuracy=0.851483,average train_loss=0.340657,average test_loss=0.338007 325 | stop iteration: 73 time now: 2013-03-01 10:39:03.254313 326 | 327 | 328 | accuracy=0.851668,average train_loss=0.339901,average test_loss=0.337301 329 | stop iteration: 74 time now: 2013-03-01 10:39:36.490365 330 | 331 | 332 | accuracy=0.851944,average train_loss=0.339078,average test_loss=0.336529 333 | stop iteration: 75 time now: 2013-03-01 10:40:09.763220 334 | 335 | 336 | accuracy=0.852220,average train_loss=0.338690,average test_loss=0.336060 337 | stop iteration: 76 time now: 2013-03-01 10:40:43.051423 338 | 339 | 340 | accuracy=0.852128,average train_loss=0.338030,average test_loss=0.335503 341 | stop iteration: 77 time now: 2013-03-01 10:41:16.531865 342 | 343 | 344 | accuracy=0.852128,average train_loss=0.337330,average test_loss=0.334817 345 | stop iteration: 78 time now: 2013-03-01 10:41:50.017658 346 | 347 | 348 | accuracy=0.852128,average train_loss=0.336990,average test_loss=0.334542 349 | stop iteration: 79 time now: 2013-03-01 10:42:23.635208 350 | 351 | 352 | accuracy=0.852957,average train_loss=0.336420,average test_loss=0.334010 353 | stop iteration: 80 time now: 2013-03-01 10:42:57.253272 354 | 355 | 356 | accuracy=0.852589,average train_loss=0.336028,average test_loss=0.333622 357 | stop iteration: 81 time now: 2013-03-01 10:43:30.894220 358 | 359 | 360 | accuracy=0.852220,average train_loss=0.335418,average test_loss=0.332982 361 | stop iteration: 82 time now: 2013-03-01 10:44:04.794694 362 | 363 | 364 | accuracy=0.852313,average train_loss=0.335101,average test_loss=0.332587 365 | stop iteration: 83 time now: 2013-03-01 10:44:38.713341 366 | 367 | 368 | accuracy=0.852405,average train_loss=0.334458,average test_loss=0.331971 369 | stop iteration: 84 time now: 2013-03-01 10:45:12.610442 370 | 371 | 372 | accuracy=0.852681,average train_loss=0.333932,average test_loss=0.331542 373 | stop iteration: 85 time now: 2013-03-01 10:45:46.605404 374 | 375 | 376 | accuracy=0.852957,average train_loss=0.333651,average test_loss=0.331181 377 | stop iteration: 86 time now: 2013-03-01 10:46:20.566319 378 | 379 | 380 | accuracy=0.852681,average train_loss=0.333189,average test_loss=0.330669 381 | stop iteration: 87 time now: 2013-03-01 10:46:54.687679 382 | 383 | 384 | accuracy=0.853326,average train_loss=0.332674,average test_loss=0.330195 385 | stop iteration: 88 time now: 2013-03-01 10:47:28.816478 386 | 387 | 388 | accuracy=0.853694,average train_loss=0.332070,average test_loss=0.329584 389 | stop iteration: 89 time now: 2013-03-01 10:48:03.118309 390 | 391 | 392 | accuracy=0.853602,average train_loss=0.331732,average test_loss=0.329248 393 | stop iteration: 90 time now: 2013-03-01 10:48:37.424505 394 | 395 | 396 | accuracy=0.853879,average train_loss=0.331074,average test_loss=0.328574 397 | stop iteration: 91 time now: 2013-03-01 10:49:11.839496 398 | 399 | 400 | accuracy=0.854155,average train_loss=0.330710,average test_loss=0.328105 401 | stop iteration: 92 time now: 2013-03-01 10:49:46.255566 402 | 403 | 404 | accuracy=0.854339,average train_loss=0.330419,average test_loss=0.327801 405 | stop iteration: 93 time now: 2013-03-01 10:50:20.742797 406 | 407 | 408 | accuracy=0.854524,average train_loss=0.330179,average test_loss=0.327623 409 | stop iteration: 94 time now: 2013-03-01 10:50:55.300453 410 | 411 | 412 | accuracy=0.853971,average train_loss=0.329769,average test_loss=0.327135 413 | stop iteration: 95 time now: 2013-03-01 10:51:29.935849 414 | 415 | 416 | accuracy=0.854155,average train_loss=0.329265,average test_loss=0.326667 417 | stop iteration: 96 time now: 2013-03-01 10:52:04.939013 418 | 419 | 420 | accuracy=0.854063,average train_loss=0.328800,average test_loss=0.326303 421 | stop iteration: 97 time now: 2013-03-01 10:52:39.716611 422 | 423 | 424 | accuracy=0.854155,average train_loss=0.328535,average test_loss=0.326015 425 | stop iteration: 98 time now: 2013-03-01 10:53:14.541522 426 | 427 | 428 | accuracy=0.854063,average train_loss=0.328328,average test_loss=0.325792 429 | stop iteration: 99 time now: 2013-03-01 10:53:49.372741 430 | 431 | 432 | accuracy=0.854247,average train_loss=0.328137,average test_loss=0.325657 433 | stop iteration: 100 time now: 2013-03-01 10:54:24.338538 434 | 435 | 436 | accuracy=0.854339,average train_loss=0.327923,average test_loss=0.325420 437 | stop iteration: 101 time now: 2013-03-01 10:54:59.400167 438 | 439 | 440 | accuracy=0.855169,average train_loss=0.327509,average test_loss=0.325035 441 | stop iteration: 102 time now: 2013-03-01 10:55:34.530872 442 | 443 | 444 | accuracy=0.854616,average train_loss=0.327283,average test_loss=0.324868 445 | stop iteration: 103 time now: 2013-03-01 10:56:09.636627 446 | 447 | 448 | accuracy=0.855169,average train_loss=0.326832,average test_loss=0.324445 449 | stop iteration: 104 time now: 2013-03-01 10:56:44.833314 450 | 451 | 452 | accuracy=0.855261,average train_loss=0.326232,average test_loss=0.323779 453 | stop iteration: 105 time now: 2013-03-01 10:57:20.074759 454 | 455 | 456 | accuracy=0.855169,average train_loss=0.325994,average test_loss=0.323458 457 | stop iteration: 106 time now: 2013-03-01 10:57:55.428924 458 | 459 | 460 | accuracy=0.855261,average train_loss=0.325824,average test_loss=0.323380 461 | stop iteration: 107 time now: 2013-03-01 10:58:30.826195 462 | 463 | 464 | accuracy=0.854892,average train_loss=0.325429,average test_loss=0.323025 465 | stop iteration: 108 time now: 2013-03-01 10:59:06.258983 466 | 467 | 468 | accuracy=0.854708,average train_loss=0.324991,average test_loss=0.322619 469 | stop iteration: 109 time now: 2013-03-01 10:59:41.764719 470 | 471 | 472 | accuracy=0.854892,average train_loss=0.324820,average test_loss=0.322501 473 | stop iteration: 110 time now: 2013-03-01 11:00:17.355740 474 | 475 | 476 | accuracy=0.854984,average train_loss=0.324405,average test_loss=0.322110 477 | stop iteration: 111 time now: 2013-03-01 11:00:52.935946 478 | 479 | 480 | accuracy=0.855353,average train_loss=0.324161,average test_loss=0.321796 481 | stop iteration: 112 time now: 2013-03-01 11:01:28.717974 482 | 483 | 484 | accuracy=0.855076,average train_loss=0.323959,average test_loss=0.321593 485 | stop iteration: 113 time now: 2013-03-01 11:02:04.497879 486 | 487 | 488 | accuracy=0.855629,average train_loss=0.323570,average test_loss=0.321234 489 | stop iteration: 114 time now: 2013-03-01 11:02:40.443563 490 | 491 | 492 | accuracy=0.856090,average train_loss=0.323416,average test_loss=0.321062 493 | stop iteration: 115 time now: 2013-03-01 11:03:16.334220 494 | 495 | 496 | accuracy=0.855998,average train_loss=0.323322,average test_loss=0.321036 497 | stop iteration: 116 time now: 2013-03-01 11:03:52.300703 498 | 499 | 500 | accuracy=0.854984,average train_loss=0.323033,average test_loss=0.320714 501 | stop iteration: 117 time now: 2013-03-01 11:04:28.366179 502 | 503 | 504 | accuracy=0.855629,average train_loss=0.322867,average test_loss=0.320534 505 | stop iteration: 118 time now: 2013-03-01 11:05:04.555280 506 | 507 | 508 | accuracy=0.855629,average train_loss=0.322647,average test_loss=0.320275 509 | stop iteration: 119 time now: 2013-03-01 11:05:40.657299 510 | 511 | 512 | accuracy=0.855814,average train_loss=0.322412,average test_loss=0.319969 513 | stop iteration: 120 time now: 2013-03-01 11:06:16.935998 514 | 515 | 516 | accuracy=0.855261,average train_loss=0.322003,average test_loss=0.319588 517 | stop iteration: 121 time now: 2013-03-01 11:06:53.207920 518 | 519 | 520 | accuracy=0.855261,average train_loss=0.321675,average test_loss=0.319347 521 | stop iteration: 122 time now: 2013-03-01 11:07:29.650437 522 | 523 | 524 | accuracy=0.855629,average train_loss=0.321288,average test_loss=0.318980 525 | stop iteration: 123 time now: 2013-03-01 11:08:06.028415 526 | 527 | 528 | accuracy=0.855629,average train_loss=0.320974,average test_loss=0.318645 529 | stop iteration: 124 time now: 2013-03-01 11:08:42.562068 530 | 531 | 532 | accuracy=0.856274,average train_loss=0.320713,average test_loss=0.318462 533 | stop iteration: 125 time now: 2013-03-01 11:09:19.183079 534 | 535 | 536 | accuracy=0.856366,average train_loss=0.320580,average test_loss=0.318346 537 | stop iteration: 126 time now: 2013-03-01 11:09:55.881847 538 | 539 | 540 | accuracy=0.856551,average train_loss=0.320454,average test_loss=0.318264 541 | stop iteration: 127 time now: 2013-03-01 11:10:32.829301 542 | 543 | 544 | accuracy=0.856551,average train_loss=0.320186,average test_loss=0.318087 545 | stop iteration: 128 time now: 2013-03-01 11:11:09.700288 546 | 547 | 548 | accuracy=0.856551,average train_loss=0.319997,average test_loss=0.317882 549 | stop iteration: 129 time now: 2013-03-01 11:11:46.613367 550 | 551 | 552 | accuracy=0.856735,average train_loss=0.319836,average test_loss=0.317654 553 | stop iteration: 130 time now: 2013-03-01 11:12:23.617267 554 | 555 | 556 | accuracy=0.857196,average train_loss=0.319655,average test_loss=0.317452 557 | stop iteration: 131 time now: 2013-03-01 11:13:00.694978 558 | 559 | 560 | accuracy=0.856827,average train_loss=0.319562,average test_loss=0.317396 561 | stop iteration: 132 time now: 2013-03-01 11:13:37.867241 562 | 563 | 564 | accuracy=0.856735,average train_loss=0.319415,average test_loss=0.317249 565 | stop iteration: 133 time now: 2013-03-01 11:14:14.998981 566 | 567 | 568 | accuracy=0.856735,average train_loss=0.319355,average test_loss=0.317247 569 | stop iteration: 134 time now: 2013-03-01 11:14:52.272807 570 | 571 | 572 | accuracy=0.856827,average train_loss=0.319214,average test_loss=0.317092 573 | stop iteration: 135 time now: 2013-03-01 11:15:29.562440 574 | 575 | 576 | accuracy=0.856827,average train_loss=0.318898,average test_loss=0.316801 577 | stop iteration: 136 time now: 2013-03-01 11:16:06.969725 578 | 579 | 580 | accuracy=0.856827,average train_loss=0.318736,average test_loss=0.316580 581 | stop iteration: 137 time now: 2013-03-01 11:16:44.302005 582 | 583 | 584 | accuracy=0.857011,average train_loss=0.318536,average test_loss=0.316421 585 | stop iteration: 138 time now: 2013-03-01 11:17:21.944322 586 | 587 | 588 | accuracy=0.857103,average train_loss=0.318447,average test_loss=0.316372 589 | stop iteration: 139 time now: 2013-03-01 11:17:59.407422 590 | 591 | 592 | accuracy=0.857288,average train_loss=0.318348,average test_loss=0.316263 593 | stop iteration: 140 time now: 2013-03-01 11:18:37.080087 594 | 595 | 596 | accuracy=0.857288,average train_loss=0.318213,average test_loss=0.316114 597 | stop iteration: 141 time now: 2013-03-01 11:19:14.728938 598 | 599 | 600 | accuracy=0.857564,average train_loss=0.317919,average test_loss=0.315847 601 | stop iteration: 142 time now: 2013-03-01 11:19:52.393287 602 | 603 | 604 | accuracy=0.857011,average train_loss=0.317712,average test_loss=0.315581 605 | stop iteration: 143 time now: 2013-03-01 11:20:30.104129 606 | 607 | 608 | accuracy=0.857380,average train_loss=0.317516,average test_loss=0.315467 609 | stop iteration: 144 time now: 2013-03-01 11:21:07.958392 610 | 611 | 612 | accuracy=0.857288,average train_loss=0.317401,average test_loss=0.315339 613 | stop iteration: 145 time now: 2013-03-01 11:21:45.907552 614 | 615 | 616 | accuracy=0.856919,average train_loss=0.317235,average test_loss=0.315121 617 | stop iteration: 146 time now: 2013-03-01 11:22:23.940510 618 | 619 | 620 | accuracy=0.856919,average train_loss=0.317078,average test_loss=0.315000 621 | stop iteration: 147 time now: 2013-03-01 11:23:02.104082 622 | 623 | 624 | accuracy=0.857196,average train_loss=0.316903,average test_loss=0.314788 625 | stop iteration: 148 time now: 2013-03-01 11:23:40.156633 626 | 627 | 628 | accuracy=0.856919,average train_loss=0.316644,average test_loss=0.314506 629 | stop iteration: 149 time now: 2013-03-01 11:24:18.273364 630 | 631 | 632 | accuracy=0.856919,average train_loss=0.316583,average test_loss=0.314508 633 | stop iteration: 150 time now: 2013-03-01 11:24:56.465314 634 | 635 | 636 | accuracy=0.856919,average train_loss=0.316471,average test_loss=0.314424 637 | stop iteration: 151 time now: 2013-03-01 11:25:34.809244 638 | 639 | 640 | accuracy=0.856919,average train_loss=0.316343,average test_loss=0.314279 641 | stop iteration: 152 time now: 2013-03-01 11:26:13.091311 642 | 643 | 644 | accuracy=0.857380,average train_loss=0.316245,average test_loss=0.314164 645 | stop iteration: 153 time now: 2013-03-01 11:26:51.616468 646 | 647 | 648 | accuracy=0.857288,average train_loss=0.316091,average test_loss=0.313945 649 | stop iteration: 154 time now: 2013-03-01 11:27:30.092355 650 | 651 | 652 | accuracy=0.857288,average train_loss=0.315969,average test_loss=0.313797 653 | stop iteration: 155 time now: 2013-03-01 11:28:08.690330 654 | 655 | 656 | accuracy=0.857288,average train_loss=0.315619,average test_loss=0.313384 657 | stop iteration: 156 time now: 2013-03-01 11:28:47.296205 658 | 659 | 660 | accuracy=0.857196,average train_loss=0.315507,average test_loss=0.313312 661 | stop iteration: 157 time now: 2013-03-01 11:29:26.061256 662 | 663 | 664 | accuracy=0.857103,average train_loss=0.315411,average test_loss=0.313290 665 | stop iteration: 158 time now: 2013-03-01 11:30:05.024038 666 | 667 | 668 | accuracy=0.857103,average train_loss=0.315135,average test_loss=0.313044 669 | stop iteration: 159 time now: 2013-03-01 11:30:43.857141 670 | 671 | 672 | accuracy=0.856919,average train_loss=0.314977,average test_loss=0.312819 673 | stop iteration: 160 time now: 2013-03-01 11:31:22.913513 674 | 675 | 676 | accuracy=0.857380,average train_loss=0.314864,average test_loss=0.312691 677 | stop iteration: 161 time now: 2013-03-01 11:32:01.957036 678 | 679 | 680 | accuracy=0.857564,average train_loss=0.314657,average test_loss=0.312506 681 | stop iteration: 162 time now: 2013-03-01 11:32:41.056776 682 | 683 | 684 | accuracy=0.857380,average train_loss=0.314587,average test_loss=0.312469 685 | stop iteration: 163 time now: 2013-03-01 11:33:20.206766 686 | 687 | 688 | accuracy=0.857103,average train_loss=0.314484,average test_loss=0.312365 689 | stop iteration: 164 time now: 2013-03-01 11:33:59.310579 690 | 691 | 692 | accuracy=0.856919,average train_loss=0.314408,average test_loss=0.312358 693 | stop iteration: 165 time now: 2013-03-01 11:34:38.500567 694 | 695 | 696 | accuracy=0.857103,average train_loss=0.314326,average test_loss=0.312269 697 | stop iteration: 166 time now: 2013-03-01 11:35:17.743410 698 | 699 | 700 | accuracy=0.856919,average train_loss=0.314183,average test_loss=0.312100 701 | stop iteration: 167 time now: 2013-03-01 11:35:57.069629 702 | 703 | 704 | accuracy=0.856735,average train_loss=0.314064,average test_loss=0.311957 705 | stop iteration: 168 time now: 2013-03-01 11:36:36.402246 706 | 707 | 708 | accuracy=0.857011,average train_loss=0.313976,average test_loss=0.311858 709 | stop iteration: 169 time now: 2013-03-01 11:37:16.021400 710 | 711 | 712 | accuracy=0.857196,average train_loss=0.313778,average test_loss=0.311668 713 | stop iteration: 170 time now: 2013-03-01 11:37:55.506085 714 | 715 | 716 | accuracy=0.857380,average train_loss=0.313507,average test_loss=0.311417 717 | stop iteration: 171 time now: 2013-03-01 11:38:35.087870 718 | 719 | 720 | accuracy=0.857288,average train_loss=0.313401,average test_loss=0.311249 721 | stop iteration: 172 time now: 2013-03-01 11:39:14.752564 722 | 723 | 724 | accuracy=0.857840,average train_loss=0.313306,average test_loss=0.311089 725 | stop iteration: 173 time now: 2013-03-01 11:39:54.518717 726 | 727 | 728 | accuracy=0.857656,average train_loss=0.313186,average test_loss=0.310993 729 | stop iteration: 174 time now: 2013-03-01 11:40:34.311723 730 | 731 | 732 | accuracy=0.858025,average train_loss=0.313134,average test_loss=0.310968 733 | stop iteration: 175 time now: 2013-03-01 11:41:14.337325 734 | 735 | 736 | accuracy=0.857564,average train_loss=0.313029,average test_loss=0.310888 737 | stop iteration: 176 time now: 2013-03-01 11:41:54.340082 738 | 739 | 740 | accuracy=0.857196,average train_loss=0.312823,average test_loss=0.310713 741 | stop iteration: 177 time now: 2013-03-01 11:42:34.414188 742 | 743 | 744 | accuracy=0.857380,average train_loss=0.312723,average test_loss=0.310589 745 | stop iteration: 178 time now: 2013-03-01 11:43:14.698549 746 | 747 | 748 | accuracy=0.857656,average train_loss=0.312537,average test_loss=0.310424 749 | stop iteration: 179 time now: 2013-03-01 11:43:54.936388 750 | 751 | 752 | accuracy=0.857564,average train_loss=0.312326,average test_loss=0.310239 753 | stop iteration: 180 time now: 2013-03-01 11:44:35.132871 754 | 755 | 756 | accuracy=0.857748,average train_loss=0.312218,average test_loss=0.310092 757 | stop iteration: 181 time now: 2013-03-01 11:45:15.237942 758 | 759 | 760 | accuracy=0.857288,average train_loss=0.312047,average test_loss=0.309942 761 | stop iteration: 182 time now: 2013-03-01 11:45:56.267993 762 | 763 | 764 | accuracy=0.857196,average train_loss=0.311964,average test_loss=0.309848 765 | stop iteration: 183 time now: 2013-03-01 11:46:36.767761 766 | 767 | 768 | accuracy=0.857380,average train_loss=0.311703,average test_loss=0.309604 769 | stop iteration: 184 time now: 2013-03-01 11:47:17.907799 770 | 771 | 772 | accuracy=0.857380,average train_loss=0.311618,average test_loss=0.309546 773 | stop iteration: 185 time now: 2013-03-01 11:47:58.456164 774 | 775 | 776 | accuracy=0.857472,average train_loss=0.311503,average test_loss=0.309379 777 | stop iteration: 186 time now: 2013-03-01 11:48:39.704688 778 | 779 | 780 | accuracy=0.857840,average train_loss=0.311281,average test_loss=0.309176 781 | stop iteration: 187 time now: 2013-03-01 11:49:20.413573 782 | 783 | 784 | accuracy=0.857564,average train_loss=0.311013,average test_loss=0.308853 785 | stop iteration: 188 time now: 2013-03-01 11:50:01.848935 786 | 787 | 788 | accuracy=0.857656,average train_loss=0.310963,average test_loss=0.308857 789 | stop iteration: 189 time now: 2013-03-01 11:50:42.650429 790 | 791 | 792 | accuracy=0.857748,average train_loss=0.310878,average test_loss=0.308751 793 | stop iteration: 190 time now: 2013-03-01 11:51:24.129933 794 | 795 | 796 | accuracy=0.857748,average train_loss=0.310795,average test_loss=0.308633 797 | stop iteration: 191 time now: 2013-03-01 11:52:05.060880 798 | 799 | 800 | accuracy=0.857748,average train_loss=0.310712,average test_loss=0.308635 801 | stop iteration: 192 time now: 2013-03-01 11:52:46.630933 802 | 803 | 804 | accuracy=0.857472,average train_loss=0.310616,average test_loss=0.308562 805 | stop iteration: 193 time now: 2013-03-01 11:53:27.677581 806 | 807 | 808 | accuracy=0.858025,average train_loss=0.310443,average test_loss=0.308393 809 | stop iteration: 194 time now: 2013-03-01 11:54:09.427543 810 | 811 | 812 | accuracy=0.857656,average train_loss=0.310363,average test_loss=0.308311 813 | stop iteration: 195 time now: 2013-03-01 11:54:50.643628 814 | 815 | 816 | accuracy=0.857933,average train_loss=0.310284,average test_loss=0.308253 817 | stop iteration: 196 time now: 2013-03-01 11:55:32.541639 818 | 819 | 820 | accuracy=0.858393,average train_loss=0.310072,average test_loss=0.308058 821 | stop iteration: 197 time now: 2013-03-01 11:56:13.865533 822 | 823 | 824 | accuracy=0.857933,average train_loss=0.309985,average test_loss=0.308012 825 | stop iteration: 198 time now: 2013-03-01 11:56:56.093700 826 | 827 | 828 | accuracy=0.857748,average train_loss=0.309906,average test_loss=0.308035 829 | stop iteration: 199 time now: 2013-03-01 11:57:37.681361 830 | 831 | 832 | accuracy=0.858577,average train_loss=0.309810,average test_loss=0.307914 833 | stop iteration: 200 time now: 2013-03-01 11:58:19.943096 834 | 835 | 836 | accuracy=0.857840,average train_loss=0.309755,average test_loss=0.307890 837 | stop iteration: 201 time now: 2013-03-01 11:59:01.563112 838 | 839 | 840 | accuracy=0.857564,average train_loss=0.309688,average test_loss=0.307821 841 | stop iteration: 202 time now: 2013-03-01 11:59:43.855617 842 | 843 | 844 | accuracy=0.858025,average train_loss=0.309638,average test_loss=0.307754 845 | stop iteration: 203 time now: 2013-03-01 12:00:25.483059 846 | 847 | 848 | accuracy=0.858301,average train_loss=0.309486,average test_loss=0.307631 849 | stop iteration: 204 time now: 2013-03-01 12:01:07.271513 850 | 851 | 852 | accuracy=0.858117,average train_loss=0.309402,average test_loss=0.307531 853 | stop iteration: 205 time now: 2013-03-01 12:01:49.097131 854 | 855 | 856 | accuracy=0.858209,average train_loss=0.309307,average test_loss=0.307386 857 | stop iteration: 206 time now: 2013-03-01 12:02:31.033116 858 | 859 | 860 | accuracy=0.858854,average train_loss=0.309242,average test_loss=0.307310 861 | stop iteration: 207 time now: 2013-03-01 12:03:13.020912 862 | 863 | 864 | accuracy=0.858670,average train_loss=0.309145,average test_loss=0.307162 865 | stop iteration: 208 time now: 2013-03-01 12:03:55.080180 866 | 867 | 868 | accuracy=0.858762,average train_loss=0.309046,average test_loss=0.307144 869 | stop iteration: 209 time now: 2013-03-01 12:04:37.190809 870 | 871 | 872 | accuracy=0.858485,average train_loss=0.308974,average test_loss=0.307093 873 | stop iteration: 210 time now: 2013-03-01 12:05:19.495575 874 | 875 | 876 | accuracy=0.858577,average train_loss=0.308914,average test_loss=0.307091 877 | stop iteration: 211 time now: 2013-03-01 12:06:01.763981 878 | 879 | 880 | accuracy=0.858485,average train_loss=0.308833,average test_loss=0.306902 881 | stop iteration: 212 time now: 2013-03-01 12:06:44.225871 882 | 883 | 884 | accuracy=0.858209,average train_loss=0.308748,average test_loss=0.306812 885 | stop iteration: 213 time now: 2013-03-01 12:07:26.705896 886 | 887 | 888 | accuracy=0.858117,average train_loss=0.308683,average test_loss=0.306741 889 | stop iteration: 214 time now: 2013-03-01 12:08:09.250300 890 | 891 | 892 | accuracy=0.858577,average train_loss=0.308595,average test_loss=0.306634 893 | stop iteration: 215 time now: 2013-03-01 12:08:51.809879 894 | 895 | 896 | accuracy=0.858393,average train_loss=0.308535,average test_loss=0.306602 897 | stop iteration: 216 time now: 2013-03-01 12:09:34.513269 898 | 899 | 900 | accuracy=0.858762,average train_loss=0.308456,average test_loss=0.306504 901 | stop iteration: 217 time now: 2013-03-01 12:10:17.198040 902 | 903 | 904 | accuracy=0.859038,average train_loss=0.308417,average test_loss=0.306445 905 | stop iteration: 218 time now: 2013-03-01 12:11:00.024247 906 | 907 | 908 | accuracy=0.858854,average train_loss=0.308352,average test_loss=0.306375 909 | stop iteration: 219 time now: 2013-03-01 12:11:42.874460 910 | 911 | 912 | accuracy=0.858854,average train_loss=0.308277,average test_loss=0.306284 913 | stop iteration: 220 time now: 2013-03-01 12:12:25.749518 914 | 915 | 916 | accuracy=0.858854,average train_loss=0.308242,average test_loss=0.306271 917 | stop iteration: 221 time now: 2013-03-01 12:13:08.728976 918 | 919 | 920 | accuracy=0.858946,average train_loss=0.308190,average test_loss=0.306248 921 | stop iteration: 222 time now: 2013-03-01 12:13:51.751358 922 | 923 | 924 | accuracy=0.858762,average train_loss=0.308070,average test_loss=0.306096 925 | stop iteration: 223 time now: 2013-03-01 12:14:34.756440 926 | 927 | 928 | accuracy=0.858577,average train_loss=0.308014,average test_loss=0.306060 929 | stop iteration: 224 time now: 2013-03-01 12:15:17.932089 930 | 931 | 932 | accuracy=0.858946,average train_loss=0.307920,average test_loss=0.305991 933 | stop iteration: 225 time now: 2013-03-01 12:16:01.165606 934 | 935 | 936 | accuracy=0.858946,average train_loss=0.307753,average test_loss=0.305841 937 | stop iteration: 226 time now: 2013-03-01 12:16:44.468168 938 | 939 | 940 | accuracy=0.859038,average train_loss=0.307685,average test_loss=0.305743 941 | stop iteration: 227 time now: 2013-03-01 12:17:27.842506 942 | 943 | 944 | accuracy=0.858577,average train_loss=0.307612,average test_loss=0.305644 945 | stop iteration: 228 time now: 2013-03-01 12:18:11.200045 946 | 947 | 948 | accuracy=0.859038,average train_loss=0.307424,average test_loss=0.305482 949 | stop iteration: 229 time now: 2013-03-01 12:18:54.669397 950 | 951 | 952 | accuracy=0.858854,average train_loss=0.307343,average test_loss=0.305396 953 | stop iteration: 230 time now: 2013-03-01 12:19:38.223327 954 | 955 | 956 | accuracy=0.858670,average train_loss=0.307272,average test_loss=0.305320 957 | stop iteration: 231 time now: 2013-03-01 12:20:21.848400 958 | 959 | 960 | accuracy=0.858670,average train_loss=0.307190,average test_loss=0.305287 961 | stop iteration: 232 time now: 2013-03-01 12:21:05.578630 962 | 963 | 964 | accuracy=0.858485,average train_loss=0.307041,average test_loss=0.305161 965 | stop iteration: 233 time now: 2013-03-01 12:21:49.383603 966 | 967 | 968 | accuracy=0.858762,average train_loss=0.306916,average test_loss=0.305053 969 | stop iteration: 234 time now: 2013-03-01 12:22:33.083816 970 | 971 | 972 | accuracy=0.859222,average train_loss=0.306856,average test_loss=0.304966 973 | stop iteration: 235 time now: 2013-03-01 12:23:17.040477 974 | 975 | 976 | accuracy=0.859130,average train_loss=0.306803,average test_loss=0.304976 977 | stop iteration: 236 time now: 2013-03-01 12:24:00.865089 978 | 979 | 980 | accuracy=0.859038,average train_loss=0.306710,average test_loss=0.304894 981 | stop iteration: 237 time now: 2013-03-01 12:24:44.809425 982 | 983 | 984 | accuracy=0.859315,average train_loss=0.306660,average test_loss=0.304833 985 | stop iteration: 238 time now: 2013-03-01 12:25:28.955491 986 | 987 | 988 | accuracy=0.859130,average train_loss=0.306556,average test_loss=0.304750 989 | stop iteration: 239 time now: 2013-03-01 12:26:12.998578 990 | 991 | 992 | accuracy=0.859315,average train_loss=0.306489,average test_loss=0.304670 993 | stop iteration: 240 time now: 2013-03-01 12:26:57.153034 994 | 995 | 996 | accuracy=0.859407,average train_loss=0.306461,average test_loss=0.304641 997 | stop iteration: 241 time now: 2013-03-01 12:27:41.393213 998 | 999 | 1000 | accuracy=0.859130,average train_loss=0.306395,average test_loss=0.304610 1001 | stop iteration: 242 time now: 2013-03-01 12:28:25.773321 1002 | 1003 | 1004 | accuracy=0.859315,average train_loss=0.306353,average test_loss=0.304607 1005 | stop iteration: 243 time now: 2013-03-01 12:29:10.680055 1006 | 1007 | 1008 | accuracy=0.859407,average train_loss=0.306268,average test_loss=0.304473 1009 | stop iteration: 244 time now: 2013-03-01 12:29:55.121788 1010 | 1011 | 1012 | accuracy=0.859591,average train_loss=0.306211,average test_loss=0.304384 1013 | stop iteration: 245 time now: 2013-03-01 12:30:39.579537 1014 | 1015 | 1016 | accuracy=0.859407,average train_loss=0.306097,average test_loss=0.304210 1017 | stop iteration: 246 time now: 2013-03-01 12:31:24.130262 1018 | 1019 | 1020 | accuracy=0.859775,average train_loss=0.306066,average test_loss=0.304202 1021 | stop iteration: 247 time now: 2013-03-01 12:32:08.866589 1022 | 1023 | 1024 | accuracy=0.859222,average train_loss=0.305966,average test_loss=0.304116 1025 | stop iteration: 248 time now: 2013-03-01 12:32:53.613063 1026 | 1027 | 1028 | accuracy=0.859130,average train_loss=0.305939,average test_loss=0.304111 1029 | stop iteration: 249 time now: 2013-03-01 12:33:38.458770 1030 | 1031 | 1032 | accuracy=0.859499,average train_loss=0.305877,average test_loss=0.304035 1033 | stop iteration: 250 time now: 2013-03-01 12:34:23.642653 1034 | 1035 | 1036 | accuracy=0.859683,average train_loss=0.305842,average test_loss=0.303946 1037 | stop iteration: 251 time now: 2013-03-01 12:35:08.563506 1038 | 1039 | 1040 | accuracy=0.860052,average train_loss=0.305783,average test_loss=0.303913 1041 | stop iteration: 252 time now: 2013-03-01 12:35:53.520523 1042 | 1043 | 1044 | accuracy=0.859775,average train_loss=0.305724,average test_loss=0.303887 1045 | stop iteration: 253 time now: 2013-03-01 12:36:38.601280 1046 | 1047 | 1048 | accuracy=0.859959,average train_loss=0.305615,average test_loss=0.303795 1049 | stop iteration: 254 time now: 2013-03-01 12:37:23.686267 1050 | 1051 | 1052 | accuracy=0.860236,average train_loss=0.305417,average test_loss=0.303621 1053 | stop iteration: 255 time now: 2013-03-01 12:38:08.855087 1054 | 1055 | 1056 | accuracy=0.860052,average train_loss=0.305370,average test_loss=0.303558 1057 | stop iteration: 256 time now: 2013-03-01 12:38:54.056120 1058 | 1059 | 1060 | accuracy=0.860512,average train_loss=0.305296,average test_loss=0.303444 1061 | stop iteration: 257 time now: 2013-03-01 12:39:39.445415 1062 | 1063 | 1064 | accuracy=0.860697,average train_loss=0.305237,average test_loss=0.303419 1065 | stop iteration: 258 time now: 2013-03-01 12:40:24.920953 1066 | 1067 | 1068 | accuracy=0.860789,average train_loss=0.305163,average test_loss=0.303304 1069 | stop iteration: 259 time now: 2013-03-01 12:41:10.306948 1070 | 1071 | 1072 | accuracy=0.860512,average train_loss=0.305106,average test_loss=0.303297 1073 | stop iteration: 260 time now: 2013-03-01 12:41:55.770975 1074 | 1075 | 1076 | accuracy=0.860512,average train_loss=0.304913,average test_loss=0.303040 1077 | stop iteration: 261 time now: 2013-03-01 12:42:41.247769 1078 | 1079 | 1080 | accuracy=0.860328,average train_loss=0.304871,average test_loss=0.303044 1081 | stop iteration: 262 time now: 2013-03-01 12:43:26.854493 1082 | 1083 | 1084 | accuracy=0.859775,average train_loss=0.304811,average test_loss=0.303014 1085 | stop iteration: 263 time now: 2013-03-01 12:44:12.466098 1086 | 1087 | 1088 | accuracy=0.859591,average train_loss=0.304772,average test_loss=0.303002 1089 | stop iteration: 264 time now: 2013-03-01 12:44:58.129069 1090 | 1091 | 1092 | accuracy=0.859867,average train_loss=0.304709,average test_loss=0.302924 1093 | stop iteration: 265 time now: 2013-03-01 12:45:43.871420 1094 | 1095 | 1096 | accuracy=0.860236,average train_loss=0.304651,average test_loss=0.302833 1097 | stop iteration: 266 time now: 2013-03-01 12:46:29.681616 1098 | 1099 | 1100 | accuracy=0.860144,average train_loss=0.304622,average test_loss=0.302780 1101 | stop iteration: 267 time now: 2013-03-01 12:47:15.567525 1102 | 1103 | 1104 | accuracy=0.860052,average train_loss=0.304603,average test_loss=0.302719 1105 | stop iteration: 268 time now: 2013-03-01 12:48:01.512487 1106 | 1107 | 1108 | accuracy=0.860052,average train_loss=0.304566,average test_loss=0.302674 1109 | stop iteration: 269 time now: 2013-03-01 12:48:47.653422 1110 | 1111 | 1112 | accuracy=0.860144,average train_loss=0.304508,average test_loss=0.302581 1113 | stop iteration: 270 time now: 2013-03-01 12:49:33.778649 1114 | 1115 | 1116 | accuracy=0.860328,average train_loss=0.304456,average test_loss=0.302627 1117 | stop iteration: 271 time now: 2013-03-01 12:50:20.153035 1118 | 1119 | 1120 | accuracy=0.860604,average train_loss=0.304393,average test_loss=0.302560 1121 | stop iteration: 272 time now: 2013-03-01 12:51:06.474108 1122 | 1123 | 1124 | accuracy=0.860697,average train_loss=0.304303,average test_loss=0.302492 1125 | stop iteration: 273 time now: 2013-03-01 12:51:52.767517 1126 | 1127 | 1128 | accuracy=0.860697,average train_loss=0.304222,average test_loss=0.302432 1129 | stop iteration: 274 time now: 2013-03-01 12:52:39.150799 1130 | 1131 | 1132 | accuracy=0.860604,average train_loss=0.304176,average test_loss=0.302399 1133 | stop iteration: 275 time now: 2013-03-01 12:53:25.612823 1134 | 1135 | 1136 | accuracy=0.860420,average train_loss=0.304130,average test_loss=0.302370 1137 | stop iteration: 276 time now: 2013-03-01 12:54:12.112457 1138 | 1139 | 1140 | accuracy=0.860512,average train_loss=0.304119,average test_loss=0.302400 1141 | stop iteration: 277 time now: 2013-03-01 12:54:58.713359 1142 | 1143 | 1144 | accuracy=0.860420,average train_loss=0.304074,average test_loss=0.302385 1145 | stop iteration: 278 time now: 2013-03-01 12:55:45.369637 1146 | 1147 | 1148 | accuracy=0.860604,average train_loss=0.303980,average test_loss=0.302308 1149 | stop iteration: 279 time now: 2013-03-01 12:56:32.098517 1150 | 1151 | 1152 | accuracy=0.860789,average train_loss=0.303917,average test_loss=0.302231 1153 | stop iteration: 280 time now: 2013-03-01 12:57:18.957888 1154 | 1155 | 1156 | accuracy=0.860604,average train_loss=0.303856,average test_loss=0.302161 1157 | stop iteration: 281 time now: 2013-03-01 12:58:05.889515 1158 | 1159 | 1160 | accuracy=0.860328,average train_loss=0.303801,average test_loss=0.302128 1161 | stop iteration: 282 time now: 2013-03-01 12:58:52.897266 1162 | 1163 | 1164 | accuracy=0.859959,average train_loss=0.303764,average test_loss=0.302116 1165 | stop iteration: 283 time now: 2013-03-01 12:59:39.962005 1166 | 1167 | 1168 | accuracy=0.860052,average train_loss=0.303723,average test_loss=0.302066 1169 | stop iteration: 284 time now: 2013-03-01 13:00:27.019531 1170 | 1171 | 1172 | accuracy=0.860144,average train_loss=0.303693,average test_loss=0.302092 1173 | stop iteration: 285 time now: 2013-03-01 13:01:14.237469 1174 | 1175 | 1176 | accuracy=0.860052,average train_loss=0.303658,average test_loss=0.302086 1177 | stop iteration: 286 time now: 2013-03-01 13:02:01.439088 1178 | 1179 | 1180 | accuracy=0.860328,average train_loss=0.303636,average test_loss=0.302119 1181 | stop iteration: 287 time now: 2013-03-01 13:02:48.716330 1182 | 1183 | 1184 | accuracy=0.860144,average train_loss=0.303610,average test_loss=0.302095 1185 | stop iteration: 288 time now: 2013-03-01 13:03:36.045095 1186 | 1187 | 1188 | accuracy=0.860512,average train_loss=0.303585,average test_loss=0.302028 1189 | stop iteration: 289 time now: 2013-03-01 13:04:23.412272 1190 | 1191 | 1192 | accuracy=0.860697,average train_loss=0.303489,average test_loss=0.301917 1193 | stop iteration: 290 time now: 2013-03-01 13:05:10.931289 1194 | 1195 | 1196 | accuracy=0.860789,average train_loss=0.303451,average test_loss=0.301942 1197 | stop iteration: 291 time now: 2013-03-01 13:05:58.628990 1198 | 1199 | 1200 | accuracy=0.860512,average train_loss=0.303431,average test_loss=0.301944 1201 | stop iteration: 292 time now: 2013-03-01 13:06:46.235375 1202 | 1203 | 1204 | accuracy=0.860420,average train_loss=0.303379,average test_loss=0.301914 1205 | stop iteration: 293 time now: 2013-03-01 13:07:33.866459 1206 | 1207 | 1208 | accuracy=0.860328,average train_loss=0.303339,average test_loss=0.301913 1209 | stop iteration: 294 time now: 2013-03-01 13:08:21.650283 1210 | 1211 | 1212 | accuracy=0.860512,average train_loss=0.303290,average test_loss=0.301852 1213 | stop iteration: 295 time now: 2013-03-01 13:09:09.540332 1214 | 1215 | 1216 | accuracy=0.860328,average train_loss=0.303236,average test_loss=0.301845 1217 | stop iteration: 296 time now: 2013-03-01 13:09:57.434284 1218 | 1219 | 1220 | accuracy=0.860420,average train_loss=0.303135,average test_loss=0.301728 1221 | stop iteration: 297 time now: 2013-03-01 13:10:45.350798 1222 | 1223 | 1224 | accuracy=0.860420,average train_loss=0.303072,average test_loss=0.301664 1225 | stop iteration: 298 time now: 2013-03-01 13:11:33.461745 1226 | 1227 | 1228 | accuracy=0.860512,average train_loss=0.303058,average test_loss=0.301675 1229 | stop iteration: 299 time now: 2013-03-01 13:12:21.505906 1230 | 1231 | 1232 | accuracy=0.860881,average train_loss=0.303001,average test_loss=0.301601 1233 | stop iteration: 300 time now: 2013-03-01 13:13:09.604674 1234 | 1235 | 1236 | accuracy=0.860973,average train_loss=0.302941,average test_loss=0.301569 1237 | stop iteration: 301 time now: 2013-03-01 13:13:57.814638 1238 | 1239 | 1240 | accuracy=0.860789,average train_loss=0.302895,average test_loss=0.301583 1241 | stop iteration: 302 time now: 2013-03-01 13:14:46.168842 1242 | 1243 | 1244 | accuracy=0.861065,average train_loss=0.302835,average test_loss=0.301480 1245 | stop iteration: 303 time now: 2013-03-01 13:15:34.600735 1246 | 1247 | 1248 | accuracy=0.860881,average train_loss=0.302724,average test_loss=0.301392 1249 | stop iteration: 304 time now: 2013-03-01 13:16:22.899288 1250 | 1251 | 1252 | accuracy=0.860789,average train_loss=0.302631,average test_loss=0.301320 1253 | stop iteration: 305 time now: 2013-03-01 13:17:11.327239 1254 | 1255 | 1256 | accuracy=0.860789,average train_loss=0.302568,average test_loss=0.301274 1257 | stop iteration: 306 time now: 2013-03-01 13:17:59.777339 1258 | 1259 | 1260 | accuracy=0.860973,average train_loss=0.302509,average test_loss=0.301282 1261 | stop iteration: 307 time now: 2013-03-01 13:18:48.354189 1262 | 1263 | 1264 | accuracy=0.861157,average train_loss=0.302451,average test_loss=0.301206 1265 | stop iteration: 308 time now: 2013-03-01 13:19:36.965253 1266 | 1267 | 1268 | accuracy=0.861065,average train_loss=0.302393,average test_loss=0.301157 1269 | stop iteration: 309 time now: 2013-03-01 13:20:25.758428 1270 | 1271 | 1272 | accuracy=0.861065,average train_loss=0.302366,average test_loss=0.301104 1273 | stop iteration: 310 time now: 2013-03-01 13:21:14.448281 1274 | 1275 | 1276 | accuracy=0.860973,average train_loss=0.302326,average test_loss=0.301048 1277 | stop iteration: 311 time now: 2013-03-01 13:22:03.324553 1278 | 1279 | 1280 | accuracy=0.861065,average train_loss=0.302286,average test_loss=0.301014 1281 | stop iteration: 312 time now: 2013-03-01 13:22:52.191954 1282 | 1283 | 1284 | accuracy=0.860697,average train_loss=0.302229,average test_loss=0.300964 1285 | stop iteration: 313 time now: 2013-03-01 13:23:41.132064 1286 | 1287 | 1288 | accuracy=0.860697,average train_loss=0.302175,average test_loss=0.300906 1289 | stop iteration: 314 time now: 2013-03-01 13:24:30.036620 1290 | 1291 | 1292 | accuracy=0.861065,average train_loss=0.302120,average test_loss=0.300838 1293 | stop iteration: 315 time now: 2013-03-01 13:25:19.253750 1294 | 1295 | 1296 | accuracy=0.860881,average train_loss=0.302081,average test_loss=0.300845 1297 | stop iteration: 316 time now: 2013-03-01 13:26:08.395008 1298 | 1299 | 1300 | accuracy=0.860789,average train_loss=0.302034,average test_loss=0.300790 1301 | stop iteration: 317 time now: 2013-03-01 13:26:57.628937 1302 | 1303 | 1304 | accuracy=0.860881,average train_loss=0.302015,average test_loss=0.300803 1305 | stop iteration: 318 time now: 2013-03-01 13:27:46.913802 1306 | 1307 | 1308 | accuracy=0.861065,average train_loss=0.301961,average test_loss=0.300747 1309 | stop iteration: 319 time now: 2013-03-01 13:28:36.424539 1310 | 1311 | 1312 | accuracy=0.861065,average train_loss=0.301941,average test_loss=0.300725 1313 | stop iteration: 320 time now: 2013-03-01 13:29:25.853693 1314 | 1315 | 1316 | accuracy=0.860973,average train_loss=0.301891,average test_loss=0.300665 1317 | stop iteration: 321 time now: 2013-03-01 13:30:15.314227 1318 | 1319 | 1320 | accuracy=0.860973,average train_loss=0.301885,average test_loss=0.300560 1321 | stop iteration: 322 time now: 2013-03-01 13:31:04.923116 1322 | 1323 | 1324 | accuracy=0.861341,average train_loss=0.301876,average test_loss=0.300586 1325 | stop iteration: 323 time now: 2013-03-01 13:31:54.541640 1326 | 1327 | 1328 | accuracy=0.861341,average train_loss=0.301840,average test_loss=0.300547 1329 | stop iteration: 324 time now: 2013-03-01 13:32:44.252167 1330 | 1331 | 1332 | accuracy=0.861341,average train_loss=0.301788,average test_loss=0.300482 1333 | stop iteration: 325 time now: 2013-03-01 13:33:33.915518 1334 | 1335 | 1336 | accuracy=0.861249,average train_loss=0.301741,average test_loss=0.300461 1337 | stop iteration: 326 time now: 2013-03-01 13:34:23.764200 1338 | 1339 | 1340 | accuracy=0.861157,average train_loss=0.301709,average test_loss=0.300453 1341 | stop iteration: 327 time now: 2013-03-01 13:35:13.671227 1342 | 1343 | 1344 | accuracy=0.861157,average train_loss=0.301695,average test_loss=0.300438 1345 | stop iteration: 328 time now: 2013-03-01 13:36:03.631591 1346 | 1347 | 1348 | accuracy=0.861065,average train_loss=0.301654,average test_loss=0.300379 1349 | stop iteration: 329 time now: 2013-03-01 13:36:53.753600 1350 | 1351 | 1352 | accuracy=0.860973,average train_loss=0.301620,average test_loss=0.300364 1353 | stop iteration: 330 time now: 2013-03-01 13:37:43.915365 1354 | 1355 | 1356 | accuracy=0.860973,average train_loss=0.301481,average test_loss=0.300162 1357 | stop iteration: 331 time now: 2013-03-01 13:38:34.265773 1358 | 1359 | 1360 | accuracy=0.860881,average train_loss=0.301459,average test_loss=0.300190 1361 | stop iteration: 332 time now: 2013-03-01 13:39:24.933825 1362 | 1363 | 1364 | accuracy=0.861065,average train_loss=0.301426,average test_loss=0.300141 1365 | stop iteration: 333 time now: 2013-03-01 13:40:15.356845 1366 | 1367 | 1368 | accuracy=0.861249,average train_loss=0.301387,average test_loss=0.300130 1369 | stop iteration: 334 time now: 2013-03-01 13:41:05.966302 1370 | 1371 | 1372 | accuracy=0.861065,average train_loss=0.301353,average test_loss=0.300102 1373 | stop iteration: 335 time now: 2013-03-01 13:41:56.443825 1374 | 1375 | 1376 | accuracy=0.860881,average train_loss=0.301319,average test_loss=0.300133 1377 | stop iteration: 336 time now: 2013-03-01 13:42:47.076586 1378 | 1379 | 1380 | accuracy=0.861065,average train_loss=0.301223,average test_loss=0.300064 1381 | stop iteration: 337 time now: 2013-03-01 13:43:37.648385 1382 | 1383 | 1384 | accuracy=0.861157,average train_loss=0.301183,average test_loss=0.300042 1385 | stop iteration: 338 time now: 2013-03-01 13:44:28.295926 1386 | 1387 | 1388 | accuracy=0.861341,average train_loss=0.301172,average test_loss=0.300031 1389 | stop iteration: 339 time now: 2013-03-01 13:45:19.022105 1390 | 1391 | 1392 | accuracy=0.861434,average train_loss=0.301127,average test_loss=0.299978 1393 | stop iteration: 340 time now: 2013-03-01 13:46:09.882776 1394 | 1395 | 1396 | accuracy=0.861434,average train_loss=0.301088,average test_loss=0.299904 1397 | stop iteration: 341 time now: 2013-03-01 13:47:00.662698 1398 | 1399 | 1400 | accuracy=0.861434,average train_loss=0.301049,average test_loss=0.299955 1401 | stop iteration: 342 time now: 2013-03-01 13:47:51.648581 1402 | 1403 | 1404 | accuracy=0.861526,average train_loss=0.301006,average test_loss=0.299846 1405 | stop iteration: 343 time now: 2013-03-01 13:48:42.652211 1406 | 1407 | 1408 | accuracy=0.861618,average train_loss=0.300971,average test_loss=0.299800 1409 | stop iteration: 344 time now: 2013-03-01 13:49:33.785683 1410 | 1411 | 1412 | accuracy=0.861710,average train_loss=0.300941,average test_loss=0.299778 1413 | stop iteration: 345 time now: 2013-03-01 13:50:24.828368 1414 | 1415 | 1416 | accuracy=0.861894,average train_loss=0.300895,average test_loss=0.299692 1417 | stop iteration: 346 time now: 2013-03-01 13:51:16.036746 1418 | 1419 | 1420 | accuracy=0.861894,average train_loss=0.300867,average test_loss=0.299656 1421 | stop iteration: 347 time now: 2013-03-01 13:52:07.315059 1422 | 1423 | 1424 | accuracy=0.861986,average train_loss=0.300856,average test_loss=0.299690 1425 | stop iteration: 348 time now: 2013-03-01 13:52:58.773730 1426 | 1427 | 1428 | accuracy=0.861986,average train_loss=0.300827,average test_loss=0.299684 1429 | stop iteration: 349 time now: 2013-03-01 13:53:50.177994 1430 | 1431 | 1432 | accuracy=0.862355,average train_loss=0.300791,average test_loss=0.299672 1433 | stop iteration: 350 time now: 2013-03-01 13:54:41.671002 1434 | 1435 | 1436 | accuracy=0.862078,average train_loss=0.300764,average test_loss=0.299664 1437 | stop iteration: 351 time now: 2013-03-01 13:55:33.185230 1438 | 1439 | 1440 | accuracy=0.862171,average train_loss=0.300753,average test_loss=0.299687 1441 | stop iteration: 352 time now: 2013-03-01 13:56:24.725582 1442 | 1443 | 1444 | accuracy=0.861986,average train_loss=0.300702,average test_loss=0.299624 1445 | stop iteration: 353 time now: 2013-03-01 13:57:16.548550 1446 | 1447 | 1448 | accuracy=0.862078,average train_loss=0.300660,average test_loss=0.299581 1449 | stop iteration: 354 time now: 2013-03-01 13:58:08.278381 1450 | 1451 | 1452 | accuracy=0.861894,average train_loss=0.300636,average test_loss=0.299531 1453 | stop iteration: 355 time now: 2013-03-01 13:59:00.027693 1454 | 1455 | 1456 | accuracy=0.861710,average train_loss=0.300612,average test_loss=0.299521 1457 | stop iteration: 356 time now: 2013-03-01 13:59:51.920588 1458 | 1459 | 1460 | accuracy=0.861710,average train_loss=0.300616,average test_loss=0.299552 1461 | stop iteration: 357 time now: 2013-03-01 14:00:43.782786 1462 | 1463 | 1464 | accuracy=0.861618,average train_loss=0.300582,average test_loss=0.299560 1465 | stop iteration: 358 time now: 2013-03-01 14:01:35.784491 1466 | 1467 | 1468 | accuracy=0.861618,average train_loss=0.300459,average test_loss=0.299455 1469 | stop iteration: 359 time now: 2013-03-01 14:02:27.816178 1470 | 1471 | 1472 | accuracy=0.861802,average train_loss=0.300428,average test_loss=0.299415 1473 | stop iteration: 360 time now: 2013-03-01 14:03:19.902302 1474 | 1475 | 1476 | accuracy=0.861618,average train_loss=0.300384,average test_loss=0.299361 1477 | stop iteration: 361 time now: 2013-03-01 14:04:12.066514 1478 | 1479 | 1480 | accuracy=0.861802,average train_loss=0.300320,average test_loss=0.299227 1481 | stop iteration: 362 time now: 2013-03-01 14:05:04.432229 1482 | 1483 | 1484 | accuracy=0.862078,average train_loss=0.300273,average test_loss=0.299174 1485 | stop iteration: 363 time now: 2013-03-01 14:05:56.746765 1486 | 1487 | 1488 | accuracy=0.861526,average train_loss=0.300153,average test_loss=0.299002 1489 | stop iteration: 364 time now: 2013-03-01 14:06:49.215937 1490 | 1491 | 1492 | accuracy=0.861618,average train_loss=0.300153,average test_loss=0.299063 1493 | stop iteration: 365 time now: 2013-03-01 14:07:41.664737 1494 | 1495 | 1496 | accuracy=0.862078,average train_loss=0.300120,average test_loss=0.299075 1497 | stop iteration: 366 time now: 2013-03-01 14:08:34.222705 1498 | 1499 | 1500 | accuracy=0.861710,average train_loss=0.300104,average test_loss=0.299034 1501 | stop iteration: 367 time now: 2013-03-01 14:09:26.754204 1502 | 1503 | 1504 | accuracy=0.861894,average train_loss=0.300074,average test_loss=0.299016 1505 | stop iteration: 368 time now: 2013-03-01 14:10:19.431299 1506 | 1507 | 1508 | accuracy=0.862078,average train_loss=0.300059,average test_loss=0.298932 1509 | stop iteration: 369 time now: 2013-03-01 14:11:12.220833 1510 | 1511 | 1512 | accuracy=0.861618,average train_loss=0.300032,average test_loss=0.298930 1513 | stop iteration: 370 time now: 2013-03-01 14:12:05.120146 1514 | 1515 | 1516 | accuracy=0.861802,average train_loss=0.299961,average test_loss=0.298877 1517 | stop iteration: 371 time now: 2013-03-01 14:12:58.072883 1518 | 1519 | 1520 | accuracy=0.861986,average train_loss=0.299942,average test_loss=0.298926 1521 | stop iteration: 372 time now: 2013-03-01 14:13:51.010196 1522 | 1523 | 1524 | accuracy=0.861986,average train_loss=0.299790,average test_loss=0.298788 1525 | stop iteration: 373 time now: 2013-03-01 14:14:44.087086 1526 | 1527 | 1528 | accuracy=0.862447,average train_loss=0.299770,average test_loss=0.298725 1529 | stop iteration: 374 time now: 2013-03-01 14:15:37.115146 1530 | 1531 | 1532 | accuracy=0.862263,average train_loss=0.299739,average test_loss=0.298687 1533 | stop iteration: 375 time now: 2013-03-01 14:16:30.261276 1534 | 1535 | 1536 | accuracy=0.862355,average train_loss=0.299737,average test_loss=0.298662 1537 | stop iteration: 376 time now: 2013-03-01 14:17:23.551414 1538 | 1539 | 1540 | accuracy=0.862447,average train_loss=0.299712,average test_loss=0.298665 1541 | stop iteration: 377 time now: 2013-03-01 14:18:16.901201 1542 | 1543 | 1544 | accuracy=0.862355,average train_loss=0.299713,average test_loss=0.298609 1545 | stop iteration: 378 time now: 2013-03-01 14:19:10.300957 1546 | 1547 | 1548 | accuracy=0.862539,average train_loss=0.299698,average test_loss=0.298592 1549 | stop iteration: 379 time now: 2013-03-01 14:20:03.792766 1550 | 1551 | 1552 | accuracy=0.862631,average train_loss=0.299685,average test_loss=0.298603 1553 | stop iteration: 380 time now: 2013-03-01 14:20:57.268930 1554 | 1555 | 1556 | accuracy=0.862447,average train_loss=0.299628,average test_loss=0.298529 1557 | stop iteration: 381 time now: 2013-03-01 14:21:50.751983 1558 | 1559 | 1560 | accuracy=0.862078,average train_loss=0.299605,average test_loss=0.298485 1561 | stop iteration: 382 time now: 2013-03-01 14:22:44.254229 1562 | 1563 | 1564 | accuracy=0.861986,average train_loss=0.299572,average test_loss=0.298443 1565 | stop iteration: 383 time now: 2013-03-01 14:23:37.826606 1566 | 1567 | 1568 | accuracy=0.862078,average train_loss=0.299568,average test_loss=0.298464 1569 | stop iteration: 384 time now: 2013-03-01 14:24:31.454580 1570 | 1571 | 1572 | accuracy=0.862078,average train_loss=0.299510,average test_loss=0.298357 1573 | stop iteration: 385 time now: 2013-03-01 14:25:25.169893 1574 | 1575 | 1576 | accuracy=0.861802,average train_loss=0.299481,average test_loss=0.298313 1577 | stop iteration: 386 time now: 2013-03-01 14:26:19.046371 1578 | 1579 | 1580 | accuracy=0.861894,average train_loss=0.299458,average test_loss=0.298292 1581 | stop iteration: 387 time now: 2013-03-01 14:27:12.858921 1582 | 1583 | 1584 | accuracy=0.862078,average train_loss=0.299446,average test_loss=0.298343 1585 | stop iteration: 388 time now: 2013-03-01 14:28:06.786304 1586 | 1587 | 1588 | accuracy=0.862078,average train_loss=0.299452,average test_loss=0.298326 1589 | stop iteration: 389 time now: 2013-03-01 14:29:00.736882 1590 | 1591 | 1592 | accuracy=0.862078,average train_loss=0.299342,average test_loss=0.298234 1593 | stop iteration: 390 time now: 2013-03-01 14:29:54.832245 1594 | 1595 | 1596 | accuracy=0.862078,average train_loss=0.299323,average test_loss=0.298189 1597 | stop iteration: 391 time now: 2013-03-01 14:30:49.085982 1598 | 1599 | 1600 | accuracy=0.862263,average train_loss=0.299287,average test_loss=0.298074 1601 | stop iteration: 392 time now: 2013-03-01 14:31:43.379605 1602 | 1603 | 1604 | accuracy=0.861802,average train_loss=0.299259,average test_loss=0.298072 1605 | stop iteration: 393 time now: 2013-03-01 14:32:37.580501 1606 | 1607 | 1608 | accuracy=0.861802,average train_loss=0.299236,average test_loss=0.298070 1609 | stop iteration: 394 time now: 2013-03-01 14:33:31.845821 1610 | 1611 | 1612 | accuracy=0.861526,average train_loss=0.299434,average test_loss=0.298388 1613 | stop iteration: 395 time now: 2013-03-01 14:34:26.152029 1614 | 1615 | 1616 | accuracy=0.861894,average train_loss=0.299378,average test_loss=0.298337 1617 | stop iteration: 396 time now: 2013-03-01 14:35:20.611216 1618 | 1619 | 1620 | accuracy=0.861526,average train_loss=0.299349,average test_loss=0.298333 1621 | stop iteration: 397 time now: 2013-03-01 14:36:15.091392 1622 | 1623 | 1624 | accuracy=0.861986,average train_loss=0.299282,average test_loss=0.298280 1625 | stop iteration: 398 time now: 2013-03-01 14:37:09.672503 1626 | 1627 | 1628 | accuracy=0.861986,average train_loss=0.299235,average test_loss=0.298214 1629 | stop iteration: 399 time now: 2013-03-01 14:38:04.341541 1630 | 1631 | 1632 | accuracy=0.861434,average train_loss=0.299245,average test_loss=0.298289 1633 | stop iteration: 400 time now: 2013-03-01 14:38:59.045663 1634 | 1635 | 1636 | accuracy=0.862355,average train_loss=0.299195,average test_loss=0.298272 1637 | stop iteration: 401 time now: 2013-03-01 14:39:54.188519 1638 | 1639 | 1640 | accuracy=0.862723,average train_loss=0.299137,average test_loss=0.298186 1641 | stop iteration: 402 time now: 2013-03-01 14:40:49.177186 1642 | 1643 | 1644 | accuracy=0.862447,average train_loss=0.299113,average test_loss=0.298149 1645 | stop iteration: 403 time now: 2013-03-01 14:41:44.145037 1646 | 1647 | 1648 | accuracy=0.862539,average train_loss=0.299112,average test_loss=0.298107 1649 | stop iteration: 404 time now: 2013-03-01 14:42:39.092329 1650 | 1651 | 1652 | accuracy=0.862723,average train_loss=0.299101,average test_loss=0.298083 1653 | s -------------------------------------------------------------------------------- /output/stand.stat: -------------------------------------------------------------------------------- 1 | 1 0.653663865232 0.761009765985 0.653165895756 2 | 2 0.621538498461 0.761009765985 0.620644864586 3 | 3 0.595365866607 0.798507462687 0.594305953259 4 | 4 0.572584201154 0.798507462687 0.571276583486 5 | 5 0.552852775451 0.798507462687 0.55133949968 6 | 6 0.535926825219 0.798507462687 0.534353519251 7 | 7 0.52119596183 0.798507462687 0.519435704516 8 | 8 0.507304227982 0.798507462687 0.505443257138 9 | 9 0.495808737516 0.798507462687 0.49393141061 10 | 10 0.4852203523 0.798507462687 0.483196899301 11 | 11 0.474921567823 0.798507462687 0.472871956478 12 | 12 0.467208185613 0.798507462687 0.46512921947 13 | 13 0.460580317283 0.803298323199 0.458470869624 14 | 14 0.452693158802 0.803298323199 0.450617731921 15 | 15 0.446037980597 0.803298323199 0.443856478176 16 | 16 0.440724709991 0.803298323199 0.438445917577 17 | 17 0.434400962025 0.803298323199 0.432180576373 18 | 18 0.428965543694 0.798507462687 0.426803726701 19 | 19 0.425086590872 0.803298323199 0.422998521456 20 | 20 0.42161213728 0.803298323199 0.419757975122 21 | 21 0.41708562337 0.803298323199 0.415313526244 22 | 22 0.413413680338 0.822277501382 0.411617894072 23 | 23 0.409767393346 0.821540445919 0.407876269423 24 | 24 0.407418866122 0.813801363553 0.405316273886 25 | 25 0.40469234432 0.814262023217 0.40263027919 26 | 26 0.401695752184 0.814262023217 0.399543036327 27 | 27 0.399020022922 0.823014556845 0.396730188559 28 | 28 0.395940725668 0.823014556845 0.39374497765 29 | 29 0.394039539622 0.827529021559 0.392022772725 30 | 30 0.391965715627 0.827621153492 0.390030589863 31 | 31 0.389680621044 0.828081813156 0.387721875092 32 | 32 0.387047112113 0.828081813156 0.38519237415 33 | 33 0.38469593004 0.828358208955 0.382947924807 34 | 34 0.383129438696 0.82881886862 0.381201341135 35 | 35 0.381438020999 0.833425465266 0.379337899817 36 | 36 0.379714195198 0.833425465266 0.377697695376 37 | 37 0.378000970706 0.833425465266 0.375960783099 38 | 38 0.376330698118 0.83701861065 0.374158197333 39 | 39 0.375148633405 0.83701861065 0.372860780536 40 | 40 0.372890593964 0.837571402248 0.370606538395 41 | 41 0.371542837875 0.837571402248 0.369152543134 42 | 42 0.370304877305 0.842177998894 0.367762463128 43 | 43 0.369344669971 0.841993735029 0.366919468668 44 | 44 0.368052701617 0.838953381242 0.365665363705 45 | 45 0.366424725056 0.841993735029 0.364144373094 46 | 46 0.364956461077 0.841625207297 0.362615595064 47 | 47 0.363939307208 0.84328358209 0.361478750286 48 | 48 0.362717915388 0.843375714022 0.360307992381 49 | 49 0.361692871376 0.843099318224 0.359242684923 50 | 50 0.360270354837 0.843652109821 0.357769657817 51 | 51 0.359539067249 0.844849824949 0.35694985594 52 | 52 0.358490157176 0.845218352681 0.355947800927 53 | 53 0.357209213641 0.844941956882 0.354779207031 54 | 54 0.355724839425 0.845126220748 0.353288278749 55 | 55 0.354852196153 0.845402616547 0.352473334018 56 | 56 0.353482155418 0.845586880413 0.351056541198 57 | 57 0.352265451631 0.845586880413 0.349917519976 58 | 58 0.351485557497 0.845402616547 0.349018420651 59 | 59 0.350547632069 0.845402616547 0.348025978452 60 | 60 0.349543900725 0.84549474848 0.347126169077 61 | 61 0.348956565359 0.846231803943 0.346479290917 62 | 62 0.347921605261 0.846323935876 0.345471832661 63 | 63 0.347429763018 0.846968859407 0.344927669699 64 | 64 0.346557452801 0.84927215773 0.343997921171 65 | 65 0.345585296427 0.850469872858 0.343040717892 66 | 66 0.345135981744 0.850562004791 0.342663776925 67 | 67 0.3444508118 0.850469872858 0.341924605611 68 | 68 0.343936469506 0.850746268657 0.341359597623 69 | 69 0.343221091041 0.84991708126 0.340541709704 70 | 70 0.342815630932 0.850009213193 0.340089973087 71 | 71 0.342011930457 0.850101345126 0.339331534639 72 | 72 0.341142969381 0.850285608992 0.338581214107 73 | 73 0.34065712946 0.85148332412 0.338006850613 74 | 74 0.339901473079 0.851667587986 0.337300707126 75 | 75 0.339078274555 0.851943983785 0.336528748617 76 | 76 0.338689723969 0.852220379584 0.336059965818 77 | 77 0.338030290512 0.852128247651 0.335502658275 78 | 78 0.33732957373 0.852128247651 0.334817296442 79 | 79 0.336990196616 0.852128247651 0.33454174942 80 | 80 0.33642026118 0.852957435047 0.334009969986 81 | 81 0.336028256363 0.852588907315 0.333621950056 82 | 82 0.33541818035 0.852220379584 0.332981612915 83 | 83 0.335101095051 0.852312511516 0.332587498639 84 | 84 0.334457810384 0.852404643449 0.331970845007 85 | 85 0.333932321235 0.852681039248 0.331542446572 86 | 86 0.33365063625 0.852957435047 0.331181423911 87 | 87 0.333188939132 0.852681039248 0.3306687451 88 | 88 0.332673704337 0.853325962779 0.330194508605 89 | 89 0.332070267888 0.85369449051 0.329583588093 90 | 90 0.331732327511 0.853602358577 0.329247909908 91 | 91 0.331074394954 0.853878754376 0.328574130333 92 | 92 0.330710221598 0.854155150175 0.328104687266 93 | 93 0.330418539469 0.854339414041 0.327800806517 94 | 94 0.330178606839 0.854523677907 0.327623373862 95 | 95 0.3297692773 0.853970886309 0.327134618775 96 | 96 0.329264686904 0.854155150175 0.326667409112 97 | 97 0.328799509377 0.854063018242 0.326302952438 98 | 98 0.328535447027 0.854155150175 0.326015441969 99 | 99 0.328328298485 0.854063018242 0.325791511304 100 | 100 0.328136878206 0.854247282108 0.325656756399 101 | 101 0.327922940092 0.854339414041 0.325420230418 102 | 102 0.327509496402 0.855168601437 0.325035401342 103 | 103 0.327282505171 0.85461580984 0.324868137704 104 | 104 0.326831729033 0.855168601437 0.324445190153 105 | 105 0.326232452573 0.85526073337 0.323779037162 106 | 106 0.325993802224 0.855168601437 0.323457938179 107 | 107 0.325823708331 0.85526073337 0.323379543777 108 | 108 0.325428569304 0.854892205638 0.323024518982 109 | 109 0.324991381658 0.854707941773 0.322619459111 110 | 110 0.324820183717 0.854892205638 0.322501160787 111 | 111 0.324405178279 0.854984337571 0.322110013588 112 | 112 0.324160855859 0.855352865303 0.321796245678 113 | 113 0.323958631906 0.855076469504 0.321593139511 114 | 114 0.323569644446 0.855629261102 0.321234176803 115 | 115 0.323416083025 0.856089920767 0.321062154381 116 | 116 0.323322205618 0.855997788834 0.321035626155 117 | 117 0.323032823549 0.854984337571 0.320714437052 118 | 118 0.322867327325 0.855629261102 0.320534398951 119 | 119 0.322647344967 0.855629261102 0.320274527235 120 | 120 0.322411664991 0.855813524968 0.319968868192 121 | 121 0.322003216866 0.85526073337 0.319588119665 122 | 122 0.321675012909 0.85526073337 0.319347246312 123 | 123 0.321288036007 0.855629261102 0.318980077242 124 | 124 0.320973843211 0.855629261102 0.318644814713 125 | 125 0.320712905303 0.856274184632 0.318461582741 126 | 126 0.320579897881 0.856366316565 0.318346293062 127 | 127 0.32045428756 0.856550580431 0.31826408358 128 | 128 0.320186028283 0.856550580431 0.318087047611 129 | 129 0.319996547116 0.856550580431 0.317881768952 130 | 130 0.319835671679 0.856734844297 0.317653731782 131 | 131 0.319655022292 0.857195503962 0.31745183993 132 | 132 0.319562496349 0.85682697623 0.317396247837 133 | 133 0.319414908008 0.856734844297 0.317248710829 134 | 134 0.319354848209 0.856734844297 0.31724669263 135 | 135 0.319214273988 0.85682697623 0.31709166496 136 | 136 0.318897770072 0.85682697623 0.316801205111 137 | 137 0.3187355159 0.85682697623 0.316580373095 138 | 138 0.318535876684 0.857011240096 0.316421048088 139 | 139 0.318447422508 0.857103372029 0.31637171645 140 | 140 0.318348091219 0.857287635895 0.316263029684 141 | 141 0.318212896891 0.857287635895 0.316114472703 142 | 142 0.317918517687 0.857564031693 0.315847468077 143 | 143 0.31771150806 0.857011240096 0.315581368327 144 | 144 0.31751594412 0.857379767828 0.315467111966 145 | 145 0.31740140923 0.857287635895 0.315338620458 146 | 146 0.317234771303 0.856919108163 0.315121243549 147 | 147 0.317078054333 0.856919108163 0.31499973207 148 | 148 0.316903143773 0.857195503962 0.314787742289 149 | 149 0.316643998131 0.856919108163 0.314505775278 150 | 150 0.316583102902 0.856919108163 0.314507605123 151 | 151 0.31647080677 0.856919108163 0.314424034965 152 | 152 0.316342728728 0.856919108163 0.314278584892 153 | 153 0.316244609881 0.857379767828 0.314164402264 154 | 154 0.316091147107 0.857287635895 0.313944509956 155 | 155 0.315969380998 0.857287635895 0.313797042138 156 | 156 0.315619330837 0.857287635895 0.313384396752 157 | 157 0.315506785159 0.857195503962 0.31331235843 158 | 158 0.315411196615 0.857103372029 0.313289811492 159 | 159 0.315135001663 0.857103372029 0.313043784012 160 | 160 0.314977337044 0.856919108163 0.312819482589 161 | 161 0.314864114212 0.857379767828 0.312691346254 162 | 162 0.314656593379 0.857564031693 0.312506347716 163 | 163 0.31458675994 0.857379767828 0.312468675307 164 | 164 0.314484462984 0.857103372029 0.312365239663 165 | 165 0.314407918446 0.856919108163 0.312357816045 166 | 166 0.314326363189 0.857103372029 0.312269016277 167 | 167 0.314182684035 0.856919108163 0.312100112566 168 | 168 0.314064138927 0.856734844297 0.311957110927 169 | 169 0.313975523283 0.857011240096 0.311857548331 170 | 170 0.31377773193 0.857195503962 0.311667694974 171 | 171 0.313507254845 0.857379767828 0.311417124029 172 | 172 0.313400913292 0.857287635895 0.311249280369 173 | 173 0.313305794917 0.857840427492 0.311089016858 174 | 174 0.313186009219 0.857656163626 0.310993208108 175 | 175 0.31313436714 0.858024691358 0.31096830729 176 | 176 0.313029252855 0.857564031693 0.310888259986 177 | 177 0.312823401022 0.857195503962 0.310713188037 178 | 178 0.312722935798 0.857379767828 0.310588652446 179 | 179 0.312536794007 0.857656163626 0.310423576269 180 | 180 0.312325902217 0.857564031693 0.310238971946 181 | 181 0.312218001214 0.857748295559 0.310092425405 182 | 182 0.312046551673 0.857287635895 0.309941876801 183 | 183 0.31196411561 0.857195503962 0.309847527128 184 | 184 0.311702723104 0.857379767828 0.309604313623 185 | 185 0.311617714578 0.857379767828 0.309545834921 186 | 186 0.311502872967 0.85747189976 0.309378617003 187 | 187 0.311280576113 0.857840427492 0.309175590492 188 | 188 0.311012617486 0.857564031693 0.308852693522 189 | 189 0.310962978405 0.857656163626 0.308857204131 190 | 190 0.310878027093 0.857748295559 0.308750508028 191 | 191 0.310795469636 0.857748295559 0.308633296145 192 | 192 0.310712490965 0.857748295559 0.308634890304 193 | 193 0.310616395386 0.85747189976 0.30856168959 194 | 194 0.310442888025 0.858024691358 0.308392840558 195 | 195 0.310362902762 0.857656163626 0.308310555214 196 | 196 0.310283967397 0.857932559425 0.308253405546 197 | 197 0.310072068395 0.85839321909 0.308057554009 198 | 198 0.309984899125 0.857932559425 0.308012320241 199 | 199 0.309905730946 0.857748295559 0.308035465386 200 | 200 0.309810256114 0.858577482956 0.30791361096 201 | 201 0.309754672276 0.857840427492 0.307890304933 202 | 202 0.309688174837 0.857564031693 0.30782077684 203 | 203 0.30963784831 0.858024691358 0.307754283542 204 | 204 0.309485756778 0.858301087157 0.307631260569 205 | 205 0.30940224739 0.858116823291 0.307531040832 206 | 206 0.309307311323 0.858208955224 0.307386492798 207 | 207 0.309241961945 0.858853878754 0.307310211101 208 | 208 0.309144744725 0.858669614889 0.307162419688 209 | 209 0.309046404101 0.858761746821 0.30714367816 210 | 210 0.308973684815 0.858485351023 0.307092978421 211 | 211 0.308914364195 0.858577482956 0.30709134528 212 | 212 0.308833149617 0.858485351023 0.306901951984 213 | 213 0.308748481412 0.858208955224 0.306812173005 214 | 214 0.308683366958 0.858116823291 0.306741375556 215 | 215 0.308595228148 0.858577482956 0.306633914865 216 | 216 0.308534627072 0.85839321909 0.306602019451 217 | 217 0.308455626299 0.858761746821 0.306504331107 218 | 218 0.30841683828 0.85903814262 0.306445117595 219 | 219 0.308351775771 0.858853878754 0.306375175534 220 | 220 0.30827704476 0.858853878754 0.306284106832 221 | 221 0.308241998448 0.858853878754 0.306271287889 222 | 222 0.308190176357 0.858946010687 0.306248429771 223 | 223 0.308070023429 0.858761746821 0.306095734874 224 | 224 0.308013718335 0.858577482956 0.30606047043 225 | 225 0.307919674589 0.858946010687 0.305990868989 226 | 226 0.307753189209 0.858946010687 0.30584113607 227 | 227 0.307685044907 0.85903814262 0.305742982585 228 | 228 0.307611519412 0.858577482956 0.305644363065 229 | 229 0.307424484071 0.85903814262 0.305482432512 230 | 230 0.30734262131 0.858853878754 0.305396482125 231 | 231 0.30727184443 0.858669614889 0.305319873379 232 | 232 0.307190484051 0.858669614889 0.305287233801 233 | 233 0.307041234597 0.858485351023 0.305160903457 234 | 234 0.306916059281 0.858761746821 0.305052597338 235 | 235 0.306855776034 0.859222406486 0.304965595127 236 | 236 0.306802663132 0.859130274553 0.304976145577 237 | 237 0.306710110647 0.85903814262 0.304894031273 238 | 238 0.306660455162 0.859314538419 0.304833029203 239 | 239 0.306555670792 0.859130274553 0.304750169296 240 | 240 0.306489220602 0.859314538419 0.304670220706 241 | 241 0.306460586764 0.859406670352 0.304640934973 242 | 242 0.30639518805 0.859130274553 0.304609625231 243 | 243 0.306352859823 0.859314538419 0.304607465051 244 | 244 0.306267854761 0.859406670352 0.304472975988 245 | 245 0.306210712988 0.859590934218 0.30438372221 246 | 246 0.3060970785 0.859406670352 0.304209875284 247 | 247 0.306066056446 0.859775198084 0.304201550344 248 | 248 0.305965678256 0.859222406486 0.304115959321 249 | 249 0.305938544942 0.859130274553 0.304111267927 250 | 250 0.305876549582 0.859498802285 0.304035410281 251 | 251 0.305841978489 0.859683066151 0.303945778459 252 | 252 0.305782663886 0.860051593882 0.303912960693 253 | 253 0.305724316409 0.859775198084 0.303887218991 254 | 254 0.305614709428 0.85995946195 0.30379543269 255 | 255 0.305417079993 0.860235857748 0.303620953597 256 | 256 0.305369952224 0.860051593882 0.303558237906 257 | 257 0.305296349455 0.860512253547 0.303444110482 258 | 258 0.305237291332 0.860696517413 0.303419154531 259 | 259 0.305163108751 0.860788649346 0.303303854643 260 | 260 0.305105685916 0.860512253547 0.303297175202 261 | 261 0.304913082501 0.860512253547 0.303039607118 262 | 262 0.304870745065 0.860327989681 0.303044166976 263 | 263 0.304810658297 0.859775198084 0.303014060517 264 | 264 0.304772348521 0.859590934218 0.303001749826 265 | 265 0.3047085881 0.859867330017 0.302924223502 266 | 266 0.304651154885 0.860235857748 0.302833017982 267 | 267 0.304622272303 0.860143725815 0.302779658367 268 | 268 0.304603207175 0.860051593882 0.302718580508 269 | 269 0.304565691638 0.860051593882 0.302674478524 270 | 270 0.304507885564 0.860143725815 0.302580839964 271 | 271 0.304455736944 0.860327989681 0.302627146133 272 | 272 0.304392536004 0.86060438548 0.302560018451 273 | 273 0.304302879773 0.860696517413 0.302491510338 274 | 274 0.304221680047 0.860696517413 0.302431511103 275 | 275 0.304175571166 0.86060438548 0.302399181367 276 | 276 0.304130323901 0.860420121614 0.302369853319 277 | 277 0.304118576979 0.860512253547 0.302399633118 278 | 278 0.304074337585 0.860420121614 0.302385038531 279 | 279 0.30398004239 0.86060438548 0.302308401898 280 | 280 0.303916539115 0.860788649346 0.302230649008 281 | 281 0.303856430819 0.86060438548 0.302161311379 282 | 282 0.303800763605 0.860327989681 0.302127693684 283 | 283 0.303764192575 0.85995946195 0.302116104129 284 | 284 0.303722905798 0.860051593882 0.302065542601 285 | 285 0.303693055391 0.860143725815 0.302091576282 286 | 286 0.303657634626 0.860051593882 0.302085817366 287 | 287 0.303636012973 0.860327989681 0.302118910021 288 | 288 0.303610283585 0.860143725815 0.302095460037 289 | 289 0.303585304724 0.860512253547 0.302027835149 290 | 290 0.303489095141 0.860696517413 0.301916929036 291 | 291 0.303450629382 0.860788649346 0.301942241873 292 | 292 0.303430748532 0.860512253547 0.301944219493 293 | 293 0.303378701027 0.860420121614 0.301913845527 294 | 294 0.303339133461 0.860327989681 0.301913227659 295 | 295 0.303289899848 0.860512253547 0.30185237951 296 | 296 0.303235867635 0.860327989681 0.301844725381 297 | 297 0.303134576964 0.860420121614 0.301728019703 298 | 298 0.303071875404 0.860420121614 0.301663678692 299 | 299 0.303058334447 0.860512253547 0.301675336836 300 | 300 0.303000681478 0.860880781279 0.301601324147 301 | 301 0.302941259534 0.860972913212 0.301568986034 302 | 302 0.302894730399 0.860788649346 0.301583477251 303 | 303 0.302835036535 0.861065045145 0.301479821229 304 | 304 0.30272439962 0.860880781279 0.301391597682 305 | 305 0.302631094429 0.860788649346 0.301319569262 306 | 306 0.302568275679 0.860788649346 0.301274019104 307 | 307 0.302508517545 0.860972913212 0.30128223575 308 | 308 0.30245118607 0.861157177078 0.301206211091 309 | 309 0.302393400282 0.861065045145 0.301157180243 310 | 310 0.302365642461 0.861065045145 0.301103757151 311 | 311 0.302325583195 0.860972913212 0.301048223924 312 | 312 0.302285654254 0.861065045145 0.301014269031 313 | 313 0.302229213492 0.860696517413 0.300964156174 314 | 314 0.302175133359 0.860696517413 0.300905953428 315 | 315 0.302120213424 0.861065045145 0.300838297386 316 | 316 0.302080517384 0.860880781279 0.300845078222 317 | 317 0.302033797906 0.860788649346 0.30079046849 318 | 318 0.302014503585 0.860880781279 0.300802584224 319 | 319 0.301960828069 0.861065045145 0.300746871078 320 | 320 0.301941185982 0.861065045145 0.300725139704 321 | 321 0.301890985772 0.860972913212 0.300665145791 322 | 322 0.301884956163 0.860972913212 0.300559609319 323 | 323 0.301876189314 0.861341440943 0.300586369692 324 | 324 0.301840455474 0.861341440943 0.300547004772 325 | 325 0.301788256631 0.861341440943 0.300481510742 326 | 326 0.301740569686 0.861249309011 0.300460553569 327 | 327 0.301709472559 0.861157177078 0.300452700873 328 | 328 0.301695311951 0.861157177078 0.30043826898 329 | 329 0.301654258537 0.861065045145 0.300379422548 330 | 330 0.301620341292 0.860972913212 0.300363928902 331 | 331 0.301481397168 0.860972913212 0.3001615218 332 | 332 0.301458610113 0.860880781279 0.300189594193 333 | 333 0.301425895165 0.861065045145 0.300140852049 334 | 334 0.301387052261 0.861249309011 0.300130380523 335 | 335 0.301353351536 0.861065045145 0.300102251697 336 | 336 0.301318856432 0.860880781279 0.300132837714 337 | 337 0.301222967059 0.861065045145 0.300064440631 338 | 338 0.301183177139 0.861157177078 0.300041984755 339 | 339 0.301171977813 0.861341440943 0.300030668805 340 | 340 0.301126698976 0.861433572876 0.299977969986 341 | 341 0.301088354851 0.861433572876 0.299904473484 342 | 342 0.301048915675 0.861433572876 0.299955086747 343 | 343 0.30100605748 0.861525704809 0.299845882656 344 | 344 0.30097093142 0.861617836742 0.299800384622 345 | 345 0.300941062648 0.861709968675 0.299777844977 346 | 346 0.30089546552 0.861894232541 0.299691844973 347 | 347 0.300866974279 0.861894232541 0.299655919775 348 | 348 0.300855804794 0.861986364474 0.299690179277 349 | 349 0.300826954875 0.861986364474 0.299683805391 350 | 350 0.300791166583 0.862354892206 0.299671531058 351 | 351 0.30076444862 0.862078496407 0.299663894164 352 | 352 0.300752606728 0.86217062834 0.299686849816 353 | 353 0.300701511471 0.861986364474 0.299623859623 354 | 354 0.300660306845 0.862078496407 0.29958131531 355 | 355 0.300636088794 0.861894232541 0.299530696161 356 | 356 0.300612347197 0.861709968675 0.299521242413 357 | 357 0.300615794713 0.861709968675 0.299552326579 358 | 358 0.300582496109 0.861617836742 0.299560143372 359 | 359 0.30045918023 0.861617836742 0.299455026866 360 | 360 0.300428128118 0.861802100608 0.299414930999 361 | 361 0.300384493137 0.861617836742 0.299360570161 362 | 362 0.300319514999 0.861802100608 0.299226685937 363 | 363 0.300273479666 0.862078496407 0.299174104068 364 | 364 0.300152610638 0.861525704809 0.299002313827 365 | 365 0.300152578486 0.861617836742 0.29906254998 366 | 366 0.30011988827 0.862078496407 0.299074822925 367 | 367 0.300104066644 0.861709968675 0.299034006355 368 | 368 0.300074308985 0.861894232541 0.29901591901 369 | 369 0.300058509541 0.862078496407 0.29893215151 370 | 370 0.300032159719 0.861617836742 0.298929622677 371 | 371 0.299961319366 0.861802100608 0.298877311472 372 | 372 0.29994241596 0.861986364474 0.298926217871 373 | 373 0.299790485766 0.861986364474 0.298788216786 374 | 374 0.299770056397 0.862447024139 0.298724566201 375 | 375 0.299738523837 0.862262760273 0.298687477754 376 | 376 0.29973694301 0.862354892206 0.298661988637 377 | 377 0.299711975817 0.862447024139 0.298664749615 378 | 378 0.299712758276 0.862354892206 0.29860947664 379 | 379 0.29969812587 0.862539156071 0.298591558261 380 | 380 0.299684758531 0.862631288004 0.298602676447 381 | 381 0.299628061408 0.862447024139 0.298528627455 382 | 382 0.299604622087 0.862078496407 0.29848547448 383 | 383 0.299572351316 0.861986364474 0.298443185581 384 | 384 0.299567874761 0.862078496407 0.298463946775 385 | 385 0.299510368173 0.862078496407 0.298357140167 386 | 386 0.299480923154 0.861802100608 0.298313178124 387 | 387 0.299457879445 0.861894232541 0.298291518248 388 | 388 0.299446438681 0.862078496407 0.298343360035 389 | 389 0.299451589867 0.862078496407 0.298326045671 390 | 390 0.299342054327 0.862078496407 0.298233745193 391 | 391 0.29932262887 0.862078496407 0.298189306601 392 | 392 0.29928657896 0.862262760273 0.298073761591 393 | 393 0.299259376036 0.861802100608 0.298072031249 394 | 394 0.299236053362 0.861802100608 0.298070138371 395 | 395 0.299434252095 0.861525704809 0.298388222785 396 | 396 0.299378377426 0.861894232541 0.298337148159 397 | 397 0.299349281962 0.861525704809 0.298333000599 398 | 398 0.29928166562 0.861986364474 0.298279691019 399 | 399 0.299234792836 0.861986364474 0.298213508129 400 | 400 0.299245254703 0.861433572876 0.298289103178 401 | 401 0.299195478049 0.862354892206 0.298271953469 402 | 402 0.299136788908 0.862723419937 0.298186350498 403 | 403 0.299112639474 0.862447024139 0.298148802774 404 | 404 0.299111754154 0.862539156071 0.298106947881 405 | 405 0.299101244767 0.862723419937 0.298083296736 406 | 406 0.299075593034 0.86217062834 0.298081626885 407 | 407 0.299030043393 0.862631288004 0.298058701047 408 | 408 0.298966034892 0.862539156071 0.298000350262 409 | 409 0.298951568352 0.86281555187 0.29798203491 410 | 410 0.298942306097 0.86281555187 0.297993958381 411 | 411 0.298939496878 0.862907683803 0.298015033255 412 | 412 0.298919555393 0.862262760273 0.297978909024 413 | 413 0.298877141047 0.861617836742 0.29785677786 414 | 414 0.298858522079 0.862262760273 0.297861212752 415 | 415 0.298839987226 0.862539156071 0.297836700269 416 | 416 0.298827945921 0.862447024139 0.297818208038 417 | 417 0.298810530861 0.862631288004 0.297795902043 418 | 418 0.298776112895 0.862539156071 0.297726852398 419 | 419 0.298717196226 0.862907683803 0.297685501016 420 | 420 0.298613629009 0.862539156071 0.297598823287 421 | 421 0.298580634444 0.862447024139 0.297594258425 422 | 422 0.298523772988 0.862262760273 0.297516516475 423 | 423 0.298492233014 0.862354892206 0.2975 424 | -------------------------------------------------------------------------------- /script/data.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JerryZhong/GBDT/558c61018fa608af256def803488dcad9959758b/script/data.py -------------------------------------------------------------------------------- /script/data.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JerryZhong/GBDT/558c61018fa608af256def803488dcad9959758b/script/data.pyc -------------------------------------------------------------------------------- /script/gbt.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | from data import DataSet; 3 | from tree import construct_decision_tree; 4 | from model import Model; 5 | from random import uniform,sample; 6 | from sys import argv; 7 | 8 | def main(data_filename,stat_filename,max_iter,sample_rate,learn_rate,max_depth,split_points): 9 | dataset=DataSet(data_filename); 10 | print "Model parameters configuration:[data_file=%s,stat_file=%s,max_iter=%d,sample_rate=%f,learn_rate=%f,max_depth=%d,split_points=%d]"%(data_filename,stat_filename,max_iter,sample_rate,learn_rate,max_depth,split_points); 11 | dataset.describe(); 12 | stat_file=open(stat_filename,"w"); 13 | stat_file.write("iteration\taverage loss in train data\tprediction accuracy on test data\taverage loss in test data\n"); 14 | model=Model(max_iter,sample_rate,learn_rate,max_depth,split_points); 15 | train_data=sample(dataset.get_instances_idset(),int(dataset.size()*2.0/3.0)); 16 | test_data=set(dataset.get_instances_idset())-set(train_data); 17 | model.train(dataset,train_data,stat_file,test_data); 18 | #model.test(dataset,test_data); 19 | stat_file.close(); 20 | if __name__=="__main__": 21 | input_filename="data/adult_part.csv"; 22 | input_filename="data/adult.data.csv"; 23 | if len(argv)!=8: 24 | print "usage:",argv[0],"data_filename stat_filename max_iter sample_rate learn_rate max_depth split_points"; 25 | print "for example:",argv[0],"data/adult.data.csv output/adult.data.stat 50 0.4 0.1 1 -1"; 26 | print "#"*60; 27 | print "data_filename: the csv datafile used to train and test( random split 1/3 of data as test part"; 28 | print "stat_filename: the file to hold ouput information about prediction accuracy and loss value in each iteration"; 29 | print "max_iter: set the iterations in gradient boost algorithm"; 30 | print "sample_rate: subsample rate of train data to construct a single decision tree"; 31 | print "learn_rate: the learn rate parameter of gradient boost algorithm"; 32 | print "max_depth: the maximum depth of a decision tree, max_depth=1 means a decision stump with depth=1"; 33 | print "split_points: if a feature is numeric and has many distinct values, it's very slow to find a optimal split point.i use just $split_points$ values to find optimal split point of tree. 0 and negative $split_points$ means do not use the trick"; 34 | print "#"*60; 35 | else: 36 | input_filename=argv[1]; 37 | stat_filename=argv[2]; 38 | max_iter=int(argv[3]); 39 | sample_rate=float(argv[4]); 40 | learn_rate=float(argv[5]); 41 | max_depth=int(argv[6]); 42 | split_points=int(argv[7]); 43 | main(input_filename,stat_filename,max_iter,sample_rate,learn_rate,max_depth,split_points); 44 | -------------------------------------------------------------------------------- /script/model.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JerryZhong/GBDT/558c61018fa608af256def803488dcad9959758b/script/model.py -------------------------------------------------------------------------------- /script/model.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JerryZhong/GBDT/558c61018fa608af256def803488dcad9959758b/script/model.pyc -------------------------------------------------------------------------------- /script/tree.py: -------------------------------------------------------------------------------- 1 | #encoding:gbk 2 | from math import log; 3 | from random import sample; 4 | class Tree: 5 | def __init__(self): 6 | self.split_feature=None; 7 | self.leftTree=None; 8 | self.rightTree=None; 9 | ## condition for real value is < , for category value is = 10 | ## is for the left-path tree 11 | self.real_value_feature=True; 12 | self.conditionValue=None; 13 | self.leafNode=None; 14 | def get_predict_value(self,instance): 15 | if self.leafNode!=None: ## we are in the leaf node 16 | return self.leafNode.get_predict_value(); 17 | if self.split_feature==None: 18 | raise ValueError("the tree is null"); 19 | if self.real_value_feature and instance[self.split_feature]