 | Run 16259 |
| Creator | griege |
| Program | minimalist-boost |
| Dataset | stefansdata |
| Task type | MulticlassClassification |
| Created | 1y77d ago |
Done! 
| 39s | |
| 76M | |
| BinaryClassification | |
| 0 | |
| 0.400 | |
Log file
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(lines omitted) ... iteration:627 feature:116 threshold:0.0004005 min-objective:0.97877 iteration:628 feature:372 threshold:0.01045 min-objective:0.982605 iteration:629 feature:264 threshold:0.00565 min-objective:0.982319 iteration:630 feature:339 threshold:0.01375 min-objective:0.980347 iteration:631 feature:283 threshold:0.02905 min-objective:0.981881 iteration:632 feature:353 threshold:0.00475 min-objective:0.983274 iteration:633 feature:235 threshold:82.5 min-objective:0.981871 iteration:634 feature:52 threshold:0.00265 min-objective:0.982278 iteration:635 feature:78 threshold:0.00095 min-objective:0.976629 iteration:636 feature:271 threshold:0.01125 min-objective:0.983312 iteration:637 feature:148 threshold:0.001035 min-objective:0.982834 iteration:638 feature:188 threshold:0.003752 min-objective:0.983036 iteration:639 feature:99 threshold:0.0016795 min-objective:0.982454 iteration:640 feature:301 threshold:0.01465 min-objective:0.982041 iteration:641 feature:17 threshold:3.60345 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iteration:954 feature:121 threshold:0.0577825 min-objective:0.983679 iteration:955 feature:377 threshold:0.00525 min-objective:0.982615 iteration:956 feature:377 threshold:0.02355 min-objective:0.981156 iteration:957 feature:142 threshold:0.0040035 min-objective:0.981105 iteration:958 feature:263 threshold:0.0295 min-objective:0.982334 iteration:959 feature:91 threshold:0.006342 min-objective:0.983149 iteration:960 feature:125 threshold:0.0061635 min-objective:0.98203 iteration:961 feature:93 threshold:0.0079105 min-objective:0.981785 iteration:962 feature:270 threshold:0.00665 min-objective:0.98217 iteration:963 feature:169 threshold:0.000647 min-objective:0.983132 iteration:964 feature:325 threshold:0.00525 min-objective:0.980373 iteration:965 feature:409 threshold:0.0119 min-objective:0.980359 iteration:966 feature:395 threshold:0.00145 min-objective:0.981217 iteration:967 feature:7 threshold:0.0147 min-objective:0.981083 iteration:968 feature:253 threshold:0.0276 min-objective:0.981336 iteration:969 feature:20 threshold:0.0185 min-objective:0.983067 iteration:970 feature:145 threshold:0.004442 min-objective:0.982241 iteration:971 feature:380 threshold:0.00165 min-objective:0.98289 iteration:972 feature:284 threshold:0.00195 min-objective:0.982811 iteration:973 feature:108 threshold:0.0077435 min-objective:0.983758 iteration:974 feature:348 threshold:0.01485 min-objective:0.983586 iteration:975 feature:348 threshold:0.00465 min-objective:0.982209 iteration:976 feature:346 threshold:0.02295 min-objective:0.981222 iteration:977 feature:399 threshold:0.00015 min-objective:0.982491 iteration:978 feature:173 threshold:5.5e-06 min-objective:0.982019 iteration:979 feature:358 threshold:0.0083 min-objective:0.98241 iteration:980 feature:307 threshold:0.0052 min-objective:0.982028 iteration:981 feature:353 threshold:0.00475 min-objective:0.98218 iteration:982 feature:222 threshold:0.040779 min-objective:0.983407 iteration:983 feature:339 threshold:0.01375 min-objective:0.984404 iteration:984 feature:379 threshold:0.0299 min-objective:0.982246 iteration:985 feature:269 threshold:0.0078 min-objective:0.982808 iteration:986 feature:243 threshold:0.00205 min-objective:0.981649 iteration:987 feature:181 threshold:0.021731 min-objective:0.980539 iteration:988 feature:337 threshold:0.01175 min-objective:0.978726 iteration:989 feature:368 threshold:5e-05 min-objective:0.982861 iteration:990 feature:121 threshold:0.032406 min-objective:0.98195 iteration:991 feature:386 threshold:0.0172 min-objective:0.97928 iteration:992 feature:201 threshold:0.0808885 min-objective:0.983041 iteration:993 feature:27 threshold:0.3058 min-objective:0.98194 iteration:994 feature:231 threshold:1.5 min-objective:0.98205 iteration:995 feature:82 threshold:1347 min-objective:0.979374 iteration:996 feature:102 threshold:0.0481535 min-objective:0.980917 iteration:997 feature:380 threshold:0.01505 min-objective:0.981251 iteration:998 feature:61 threshold:0.53555 min-objective:0.982369 iteration:999 feature:80 threshold:0.55105 min-objective:0.981822 === END program2: ./run learn ../program1/data --- OK [30s] === END program1: ./run learn ../dataset3/train --- OK [30s] ===== MAIN: predict/evaluate on train data ===== === START program4: ./run stripLabels ../dataset3/train ../program0/evalTrain.in === END program4: ./run stripLabels ../dataset3/train ../program0/evalTrain.in --- OK [0s] === START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out === START program2: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out.multiclass-output === END program2: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out.multiclass-output --- OK [1s] === END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [1s] === START program5: ./run evaluate ../dataset3/train ../program0/evalTrain.out === END program5: ./run evaluate ../dataset3/train ../program0/evalTrain.out --- OK [0s] ===== MAIN: predict/evaluate on test data ===== === START program4: ./run stripLabels ../dataset3/test ../program0/evalTest.in === END program4: ./run stripLabels ../dataset3/test ../program0/evalTest.in --- OK [0s] === START program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out === START program2: ./run predict ../program0/evalTest.in ../program0/evalTest.out.multiclass-output === END program2: ./run predict ../program0/evalTest.in ../program0/evalTest.out.multiclass-output --- OK [0s] === END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [0s] === START program5: ./run evaluate ../dataset3/test ../program0/evalTest.out === END program5: ./run evaluate ../dataset3/test ../program0/evalTest.out --- OK [0s] real 0m43.165s user 0m21.961s sys 0m1.316s
Run specification 
Results
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