 | Run 19885 |
| Creator | internal |
| Program | minimalist-boost |
| Dataset | denis_test |
| Task type | MulticlassClassification |
| Created | 320d20h ago |
Done! 
| BinaryClassification | |
| 2s | |
| 0.021 | |
| 0s | |
| 0.487 | |
| 0s |
Log file
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(lines omitted) ... iteration:627 feature:9 threshold:0.994107 min-objective:0.999194 iteration:628 feature:6 threshold:0.0140235 min-objective:0.999394 iteration:629 feature:6 threshold:0.0053525 min-objective:0.999337 iteration:630 feature:6 threshold:0.999252 min-objective:0.999397 iteration:631 feature:6 threshold:0.998561 min-objective:0.999311 iteration:632 feature:6 threshold:0.999252 min-objective:0.99929 iteration:633 feature:2 threshold:0.772797 min-objective:0.999377 iteration:634 feature:2 threshold:0.861123 min-objective:0.998895 iteration:635 feature:2 threshold:0.882786 min-objective:0.998743 iteration:636 feature:2 threshold:0.940598 min-objective:0.998797 iteration:637 feature:8 threshold:0.313895 min-objective:0.999324 iteration:638 feature:8 threshold:0.354499 min-objective:0.998895 iteration:639 feature:8 threshold:0.471478 min-objective:0.999036 iteration:640 feature:8 threshold:0.53251 min-objective:0.998878 iteration:641 feature:8 threshold:0.611945 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min-objective:0.999 iteration:957 feature:10 threshold:0.2369 min-objective:0.999182 iteration:958 feature:10 threshold:0.12036 min-objective:0.999027 iteration:959 feature:10 threshold:0.157289 min-objective:0.999177 iteration:960 feature:10 threshold:0.28806 min-objective:0.999236 iteration:961 feature:10 threshold:0.455894 min-objective:0.999176 iteration:962 feature:10 threshold:0.438991 min-objective:0.999386 iteration:963 feature:3 threshold:0.987372 min-objective:0.999387 iteration:964 feature:3 threshold:0.996765 min-objective:0.999279 iteration:965 feature:3 threshold:0.020269 min-objective:0.999415 iteration:966 feature:3 threshold:0.016156 min-objective:0.999168 iteration:967 feature:3 threshold:0.020269 min-objective:0.999394 iteration:968 feature:3 threshold:0.043217 min-objective:0.999182 iteration:969 feature:3 threshold:0.090066 min-objective:0.99927 iteration:970 feature:3 threshold:0.967507 min-objective:0.99939 iteration:971 feature:7 threshold:0.0160515 min-objective:0.999337 iteration:972 feature:7 threshold:0.0286655 min-objective:0.99923 iteration:973 feature:7 threshold:0.175096 min-objective:0.999352 iteration:974 feature:7 threshold:0.119705 min-objective:0.998961 iteration:975 feature:7 threshold:0.049235 min-objective:0.999032 iteration:976 feature:7 threshold:0.044901 min-objective:0.999378 iteration:977 feature:7 threshold:0.017986 min-objective:0.999289 iteration:978 feature:7 threshold:0.0061795 min-objective:0.999333 iteration:979 feature:3 threshold:0.979859 min-objective:0.999389 iteration:980 feature:9 threshold:0.994107 min-objective:0.999397 iteration:981 feature:10 threshold:0.455894 min-objective:0.999411 iteration:982 feature:9 threshold:0.0027265 min-objective:0.999388 iteration:983 feature:9 threshold:0.0009445 min-objective:0.999279 iteration:984 feature:3 threshold:0.996765 min-objective:0.999391 iteration:985 feature:7 threshold:0.987905 min-objective:0.999391 iteration:986 feature:7 threshold:0.994843 min-objective:0.999353 iteration:987 feature:10 threshold:0.956211 min-objective:0.999395 iteration:988 feature:10 threshold:0.950117 min-objective:0.999081 iteration:989 feature:10 threshold:0.956211 min-objective:0.999307 iteration:990 feature:10 threshold:0.972012 min-objective:0.999155 iteration:991 feature:6 threshold:0.0053525 min-objective:0.999379 iteration:992 feature:6 threshold:0.002131 min-objective:0.999289 iteration:993 feature:5 threshold:0.747417 min-objective:0.999392 iteration:994 feature:5 threshold:0.886745 min-objective:0.999077 iteration:995 feature:5 threshold:0.912357 min-objective:0.99915 iteration:996 feature:5 threshold:0.963636 min-objective:0.999053 iteration:997 feature:10 threshold:0.638709 min-objective:0.999372 iteration:998 feature:1 threshold:0.990673 min-objective:0.999406 iteration:999 feature:1 threshold:0.995882 min-objective:0.998947 === END program2: ./run learn ../program1/data --- OK [2s] === END program1: ./run learn ../dataset3/train --- OK [2s] ===== 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 [1s] === 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 [0s] === END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [0s] === 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 0m11.596s user 0m6.180s sys 0m0.904s
Run specification 
Results
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