Task
Supervised Classification on pc1

Supervised Classification on pc1

Task 3918 Supervised Classification pc1 147053 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.9183, kappa: 0.2707, kb_relative_information_score: -416.9137, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.9867, scimark_benchmark: 1337.3324, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.9183, kappa: 0.2707, kb_relative_information_score: -416.9137, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.9867, scimark_benchmark: 1337.3324, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.9183, kappa: 0.2707, kb_relative_information_score: -416.9137, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.9867, scimark_benchmark: 1309.2287, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.9183, kappa: 0.2707, kb_relative_information_score: -416.9137, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.9867, scimark_benchmark: 1374.9737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.9183, kappa: 0.2707, kb_relative_information_score: -416.9137, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.9867, scimark_benchmark: 1346.4374, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.9183, kappa: 0.2707, kb_relative_information_score: -416.9137, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.9867, scimark_benchmark: 1331.1314, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.9183, kappa: 0.2707, kb_relative_information_score: -416.9137, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.9867, scimark_benchmark: 1350.7721, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, f_measure: 0.9141, kappa: 0.1993, kb_relative_information_score: 327.1896, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9199, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2548, root_relative_squared_error: 1.0024, scimark_benchmark: 1309.2287, usercpu_time_millis: 1020, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.9178, kappa: 0.2755, kb_relative_information_score: -283.9956, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9133, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.7926, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.234, root_relative_squared_error: 0.9205, scimark_benchmark: 1342.8584, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.9292, kappa: 0.3851, kb_relative_information_score: -163.3249, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9272, predictive_accuracy: 0.9387, prior_entropy: 0.3667, recall: 0.9387, relative_absolute_error: 0.7227, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.8766, scimark_benchmark: 1316.5396, usercpu_time_millis: 300, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.9183, kappa: 0.2707, kb_relative_information_score: -416.9137, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.9867, scimark_benchmark: 1339.2472, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.91, kappa: 0.1676, kb_relative_information_score: -213.6657, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9073, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.8336, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.9462, scimark_benchmark: 1345.6844, usercpu_time_millis: 5760, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 5530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.9183, kappa: 0.2707, kb_relative_information_score: -416.9137, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.9867, scimark_benchmark: 1342.8584, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.9183, kappa: 0.2707, kb_relative_information_score: -416.9137, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.9867, scimark_benchmark: 1329.8008, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.9183, kappa: 0.2707, kb_relative_information_score: -416.9137, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.9867, scimark_benchmark: 1318.4315, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.7979, kappa: 0.1263, kb_relative_information_score: -2150.3042, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9, predictive_accuracy: 0.7358, prior_entropy: 0.3667, recall: 0.7358, relative_absolute_error: 1.9914, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.4863, root_relative_squared_error: 1.913, scimark_benchmark: 1337.9552, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5503, f_measure: 0.9052, kappa: 0.1129, kb_relative_information_score: 10.5728, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9, predictive_accuracy: 0.9288, prior_entropy: 0.3667, recall: 0.9288, relative_absolute_error: 0.916, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.9942, scimark_benchmark: 1310.3168, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.9161, kappa: 0.2732, kb_relative_information_score: -269.3007, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9105, predictive_accuracy: 0.927, prior_entropy: 0.3667, recall: 0.927, relative_absolute_error: 0.8253, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.98, scimark_benchmark: 1316.5668, usercpu_time_millis: 1160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.9183, kappa: 0.2707, kb_relative_information_score: -416.9137, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.9867, scimark_benchmark: 1374.9737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.9183, kappa: 0.2707, kb_relative_information_score: -416.9137, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.9867, scimark_benchmark: 1324.6442, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.7979, kappa: 0.1263, kb_relative_information_score: -2150.3042, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9, predictive_accuracy: 0.7358, prior_entropy: 0.3667, recall: 0.7358, relative_absolute_error: 1.9914, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.4863, root_relative_squared_error: 1.913, scimark_benchmark: 1338.5214, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.9157, kappa: 0.2252, kb_relative_information_score: -242.6163, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9167, predictive_accuracy: 0.9342, prior_entropy: 0.3667, recall: 0.9342, relative_absolute_error: 0.7858, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.232, root_relative_squared_error: 0.9127, scimark_benchmark: 1337.8124, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.9183, kappa: 0.2707, kb_relative_information_score: -416.9137, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.9867, scimark_benchmark: 1324.7884, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.9183, kappa: 0.2707, kb_relative_information_score: -416.9137, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.9867, scimark_benchmark: 1324.8408, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.9183, kappa: 0.2707, kb_relative_information_score: -416.9137, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.9867, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.9183, kappa: 0.2707, kb_relative_information_score: -416.9137, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.9867, scimark_benchmark: 1333.202, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.7979, kappa: 0.1263, kb_relative_information_score: -2150.3042, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9, predictive_accuracy: 0.7358, prior_entropy: 0.3667, recall: 0.7358, relative_absolute_error: 1.9914, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.4863, root_relative_squared_error: 1.913, scimark_benchmark: 1333.202, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, f_measure: 0.9141, kappa: 0.1993, kb_relative_information_score: 327.1896, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9199, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2548, root_relative_squared_error: 1.0024, scimark_benchmark: 1375.1578, usercpu_time_millis: 1030, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.9183, kappa: 0.2707, kb_relative_information_score: -416.9137, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.9867, scimark_benchmark: 1331.7953, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.9183, kappa: 0.2707, kb_relative_information_score: -416.9137, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.9867, scimark_benchmark: 1349.1517, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.9183, kappa: 0.2707, kb_relative_information_score: -416.9137, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.9867, scimark_benchmark: 908.2231, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.7979, kappa: 0.1263, kb_relative_information_score: -2150.3042, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9, predictive_accuracy: 0.7358, prior_entropy: 0.3667, recall: 0.7358, relative_absolute_error: 1.9914, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.4863, root_relative_squared_error: 1.913, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.9183, kappa: 0.2707, kb_relative_information_score: -416.9137, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.9867, scimark_benchmark: 1303.5632, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.9183, kappa: 0.2707, kb_relative_information_score: -416.9137, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.9867, scimark_benchmark: 1362.9924, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.7979, kappa: 0.1263, kb_relative_information_score: -2150.3042, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9, predictive_accuracy: 0.7358, prior_entropy: 0.3667, recall: 0.7358, relative_absolute_error: 1.9914, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.4863, root_relative_squared_error: 1.913, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.9145, kappa: 0.2351, kb_relative_information_score: -1371.1311, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9098, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 1.1489, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.9789, scimark_benchmark: 944.4621, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.9064, kappa: 0.1297, kb_relative_information_score: -470.8019, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9013, predictive_accuracy: 0.9288, prior_entropy: 0.3667, recall: 0.9288, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2395, root_relative_squared_error: 0.9422, scimark_benchmark: 929.0296, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.9064, kappa: 0.1297, kb_relative_information_score: -470.8019, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9013, predictive_accuracy: 0.9288, prior_entropy: 0.3667, recall: 0.9288, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2395, root_relative_squared_error: 0.9422, scimark_benchmark: 894.7131, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.9064, kappa: 0.1297, kb_relative_information_score: -470.8019, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9013, predictive_accuracy: 0.9288, prior_entropy: 0.3667, recall: 0.9288, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2395, root_relative_squared_error: 0.9422, scimark_benchmark: 926.5859, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.9064, kappa: 0.1297, kb_relative_information_score: -470.8019, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9013, predictive_accuracy: 0.9288, prior_entropy: 0.3667, recall: 0.9288, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2395, root_relative_squared_error: 0.9422, scimark_benchmark: 926.5859, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.9167, kappa: 0.2391, kb_relative_information_score: -26.7333, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9168, predictive_accuracy: 0.9342, prior_entropy: 0.3667, recall: 0.9342, relative_absolute_error: 0.7921, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.902, scimark_benchmark: 934.929, usercpu_time_millis: 630, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.9138, kappa: 0.2149, kb_relative_information_score: -9.5621, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9111, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.7868, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.8918, scimark_benchmark: 914.3583, usercpu_time_millis: 1210, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.9161, kappa: 0.2356, kb_relative_information_score: -46.3355, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9333, prior_entropy: 0.3667, recall: 0.9333, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.8963, scimark_benchmark: 938.8535, usercpu_time_millis: 2250, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 1790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.9177, kappa: 0.2526, kb_relative_information_score: -37.0884, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.917, predictive_accuracy: 0.9342, prior_entropy: 0.3667, recall: 0.9342, relative_absolute_error: 0.7909, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.8886, scimark_benchmark: 904.5548, usercpu_time_millis: 5240, usercpu_time_millis_testing: 1730, usercpu_time_millis_training: 3510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.9151, kappa: 0.2217, kb_relative_information_score: -12.8815, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9146, predictive_accuracy: 0.9333, prior_entropy: 0.3667, recall: 0.9333, relative_absolute_error: 0.7857, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.225, root_relative_squared_error: 0.8851, scimark_benchmark: 937.5683, usercpu_time_millis: 11570, usercpu_time_millis_testing: 4700, usercpu_time_millis_training: 6870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.9292, kappa: 0.3851, kb_relative_information_score: -163.3249, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9272, predictive_accuracy: 0.9387, prior_entropy: 0.3667, recall: 0.9387, relative_absolute_error: 0.7227, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.8766, scimark_benchmark: 917.5013, usercpu_time_millis: 440, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.9161, kappa: 0.2732, kb_relative_information_score: -269.3007, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9105, predictive_accuracy: 0.927, prior_entropy: 0.3667, recall: 0.927, relative_absolute_error: 0.8253, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.98, scimark_benchmark: 926.5462, usercpu_time_millis: 1040, usercpu_time_millis_training: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.9183, kappa: 0.2707, kb_relative_information_score: -416.9137, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.9867, scimark_benchmark: 936.9595, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.91, kappa: 0.1676, kb_relative_information_score: -213.6657, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9073, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.8336, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.9462, scimark_benchmark: 936.9595, usercpu_time_millis: 11350, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 11070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.9157, kappa: 0.2252, kb_relative_information_score: -242.6163, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9167, predictive_accuracy: 0.9342, prior_entropy: 0.3667, recall: 0.9342, relative_absolute_error: 0.7858, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.232, root_relative_squared_error: 0.9127, scimark_benchmark: 941.4991, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.9183, kappa: 0.2707, kb_relative_information_score: -416.9137, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.9867, scimark_benchmark: 903.2737, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.9183, kappa: 0.2707, kb_relative_information_score: -416.9137, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.9867, scimark_benchmark: 930.404, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.9183, kappa: 0.2707, kb_relative_information_score: -416.9137, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.9867, scimark_benchmark: 938.1282, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.7979, kappa: 0.1263, kb_relative_information_score: -2150.3042, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9, predictive_accuracy: 0.7358, prior_entropy: 0.3667, recall: 0.7358, relative_absolute_error: 1.9914, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.4863, root_relative_squared_error: 1.913, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, f_measure: 0.9141, kappa: 0.1993, kb_relative_information_score: 327.1896, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9199, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2548, root_relative_squared_error: 1.0024, scimark_benchmark: 930.404, usercpu_time_millis: 510, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, f_measure: 0.9141, kappa: 0.1993, kb_relative_information_score: 327.1896, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9199, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2548, root_relative_squared_error: 1.0024, scimark_benchmark: 730.6551, usercpu_time_millis: 2370, usercpu_time_millis_testing: 1110, usercpu_time_millis_training: 1260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.9145, kappa: 0.2351, kb_relative_information_score: -1371.1311, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9098, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 1.1489, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.9789, scimark_benchmark: 935.2002, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5503, f_measure: 0.9052, kappa: 0.1129, kb_relative_information_score: 10.5728, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9, predictive_accuracy: 0.9288, prior_entropy: 0.3667, recall: 0.9288, relative_absolute_error: 0.916, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.9942, scimark_benchmark: 942.2392, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.9292, kappa: 0.3851, kb_relative_information_score: -163.3249, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9272, predictive_accuracy: 0.9387, prior_entropy: 0.3667, recall: 0.9387, relative_absolute_error: 0.7227, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.8766, scimark_benchmark: 974.2014, usercpu_time_millis: 480, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.9161, kappa: 0.2732, kb_relative_information_score: -269.3007, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9105, predictive_accuracy: 0.927, prior_entropy: 0.3667, recall: 0.927, relative_absolute_error: 0.8253, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.98, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.9183, kappa: 0.2707, kb_relative_information_score: -416.9137, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.9867, scimark_benchmark: 974.2014, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.7979, kappa: 0.1263, kb_relative_information_score: -2150.3042, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9, predictive_accuracy: 0.7358, prior_entropy: 0.3667, recall: 0.7358, relative_absolute_error: 1.9914, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.4863, root_relative_squared_error: 1.913, scimark_benchmark: 974.2014, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, f_measure: 0.9141, kappa: 0.1993, kb_relative_information_score: 327.1896, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9199, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2548, root_relative_squared_error: 1.0024, scimark_benchmark: 938.5498, usercpu_time_millis: 550, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 300,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs