OpenML
Supervised Classification on yeast

Supervised Classification on yeast

Task 2073 Supervised Classification yeast 1323 runs submitted
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  • at2 study_1 study_107 study_41 study_7 study_70 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.5614, kappa: 0.4408, kb_relative_information_score: 640.5353, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5635, predictive_accuracy: 0.5714, prior_entropy: 2.5035, recall: 0.5714, relative_absolute_error: 0.7055, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2406, root_relative_squared_error: 0.8632, scimark_benchmark: 1345.7919, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.578, kappa: 0.4623, kb_relative_information_score: 656.7285, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5871, predictive_accuracy: 0.5883, prior_entropy: 2.5035, recall: 0.5883, relative_absolute_error: 0.6995, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.8454, scimark_benchmark: 1324.6608, usercpu_time_millis: 2640, usercpu_time_millis_training: 2640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5984, f_measure: 0.3598, kappa: 0.2072, kb_relative_information_score: 391.5636, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.4993, predictive_accuracy: 0.4319, prior_entropy: 2.5035, recall: 0.4319, relative_absolute_error: 0.7305, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3371, root_relative_squared_error: 1.2094, scimark_benchmark: 1352.9101, usercpu_time_millis: 680, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5984, f_measure: 0.3598, kappa: 0.2072, kb_relative_information_score: 391.5636, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.4993, predictive_accuracy: 0.4319, prior_entropy: 2.5035, recall: 0.4319, relative_absolute_error: 0.7305, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3371, root_relative_squared_error: 1.2094, scimark_benchmark: 1314.1215, usercpu_time_millis: 710, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.5626, kappa: 0.4417, kb_relative_information_score: 649.447, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5632, predictive_accuracy: 0.5714, prior_entropy: 2.5035, recall: 0.5714, relative_absolute_error: 0.7067, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.237, root_relative_squared_error: 0.8502, scimark_benchmark: 1349.8336, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.5626, kappa: 0.4417, kb_relative_information_score: 649.447, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5632, predictive_accuracy: 0.5714, prior_entropy: 2.5035, recall: 0.5714, relative_absolute_error: 0.7067, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.237, root_relative_squared_error: 0.8502, scimark_benchmark: 1332.3382, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.5963, kappa: 0.4884, kb_relative_information_score: 691.4916, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5985, predictive_accuracy: 0.6078, prior_entropy: 2.5035, recall: 0.6078, relative_absolute_error: 0.6746, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.232, root_relative_squared_error: 0.8324, scimark_benchmark: 1330.4755, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.5626, kappa: 0.4417, kb_relative_information_score: 649.447, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5632, predictive_accuracy: 0.5714, prior_entropy: 2.5035, recall: 0.5714, relative_absolute_error: 0.7067, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.237, root_relative_squared_error: 0.8502, scimark_benchmark: 1313.5633, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5984, f_measure: 0.3598, kappa: 0.2072, kb_relative_information_score: 391.5636, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.4993, predictive_accuracy: 0.4319, prior_entropy: 2.5035, recall: 0.4319, relative_absolute_error: 0.7305, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3371, root_relative_squared_error: 1.2094, scimark_benchmark: 1382.5085, usercpu_time_millis: 650, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.5626, kappa: 0.4417, kb_relative_information_score: 649.447, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5632, predictive_accuracy: 0.5714, prior_entropy: 2.5035, recall: 0.5714, relative_absolute_error: 0.7067, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.237, root_relative_squared_error: 0.8502, scimark_benchmark: 1324.6608, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.5626, kappa: 0.4417, kb_relative_information_score: 649.447, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5632, predictive_accuracy: 0.5714, prior_entropy: 2.5035, recall: 0.5714, relative_absolute_error: 0.7067, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.237, root_relative_squared_error: 0.8502, scimark_benchmark: 1347.699, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, f_measure: 0.604, kappa: 0.4969, kb_relative_information_score: 718.6166, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6026, predictive_accuracy: 0.6139, prior_entropy: 2.5035, recall: 0.6139, relative_absolute_error: 0.6549, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.821, scimark_benchmark: 1278.9821, usercpu_time_millis: 830, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5984, f_measure: 0.3598, kappa: 0.2072, kb_relative_information_score: 391.5636, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.4993, predictive_accuracy: 0.4319, prior_entropy: 2.5035, recall: 0.4319, relative_absolute_error: 0.7305, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3371, root_relative_squared_error: 1.2094, scimark_benchmark: 1347.4442, usercpu_time_millis: 680, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, f_measure: 0.604, kappa: 0.4969, kb_relative_information_score: 718.6166, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6026, predictive_accuracy: 0.6139, prior_entropy: 2.5035, recall: 0.6139, relative_absolute_error: 0.6549, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.821, scimark_benchmark: 1347.993, usercpu_time_millis: 830, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.5626, kappa: 0.4417, kb_relative_information_score: 649.447, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5632, predictive_accuracy: 0.5714, prior_entropy: 2.5035, recall: 0.5714, relative_absolute_error: 0.7067, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.237, root_relative_squared_error: 0.8502, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, f_measure: 0.604, kappa: 0.4969, kb_relative_information_score: 718.6166, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6026, predictive_accuracy: 0.6139, prior_entropy: 2.5035, recall: 0.6139, relative_absolute_error: 0.6549, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.821, scimark_benchmark: 1326.8946, usercpu_time_millis: 830, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7839, f_measure: 0.5581, kappa: 0.4392, kb_relative_information_score: 622.0515, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5626, predictive_accuracy: 0.5701, prior_entropy: 2.5035, recall: 0.5701, relative_absolute_error: 0.7126, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.242, root_relative_squared_error: 0.8684, scimark_benchmark: 1320.9387, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.5628, kappa: 0.4425, kb_relative_information_score: 648.0084, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5638, predictive_accuracy: 0.5714, prior_entropy: 2.5035, recall: 0.5714, relative_absolute_error: 0.7094, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2377, root_relative_squared_error: 0.8528, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7839, f_measure: 0.5581, kappa: 0.4392, kb_relative_information_score: 622.0515, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5626, predictive_accuracy: 0.5701, prior_entropy: 2.5035, recall: 0.5701, relative_absolute_error: 0.7126, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.242, root_relative_squared_error: 0.8684, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.5626, kappa: 0.4417, kb_relative_information_score: 649.447, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5632, predictive_accuracy: 0.5714, prior_entropy: 2.5035, recall: 0.5714, relative_absolute_error: 0.7067, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.237, root_relative_squared_error: 0.8502, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.5963, kappa: 0.4884, kb_relative_information_score: 691.4916, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5985, predictive_accuracy: 0.6078, prior_entropy: 2.5035, recall: 0.6078, relative_absolute_error: 0.6746, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.232, root_relative_squared_error: 0.8324, scimark_benchmark: 918.0213, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.5626, kappa: 0.4417, kb_relative_information_score: 649.447, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5632, predictive_accuracy: 0.5714, prior_entropy: 2.5035, recall: 0.5714, relative_absolute_error: 0.7067, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.237, root_relative_squared_error: 0.8502, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.5626, kappa: 0.4417, kb_relative_information_score: 649.447, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5632, predictive_accuracy: 0.5714, prior_entropy: 2.5035, recall: 0.5714, relative_absolute_error: 0.7067, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.237, root_relative_squared_error: 0.8502, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.5626, kappa: 0.4417, kb_relative_information_score: 649.447, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5632, predictive_accuracy: 0.5714, prior_entropy: 2.5035, recall: 0.5714, relative_absolute_error: 0.7067, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.237, root_relative_squared_error: 0.8502, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.5626, kappa: 0.4417, kb_relative_information_score: 649.447, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5632, predictive_accuracy: 0.5714, prior_entropy: 2.5035, recall: 0.5714, relative_absolute_error: 0.7067, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.237, root_relative_squared_error: 0.8502, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.5626, kappa: 0.4417, kb_relative_information_score: 649.447, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5632, predictive_accuracy: 0.5714, prior_entropy: 2.5035, recall: 0.5714, relative_absolute_error: 0.7067, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.237, root_relative_squared_error: 0.8502, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.5628, kappa: 0.4425, kb_relative_information_score: 648.0084, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5638, predictive_accuracy: 0.5714, prior_entropy: 2.5035, recall: 0.5714, relative_absolute_error: 0.7094, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2377, root_relative_squared_error: 0.8528, scimark_benchmark: 1380.2233, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.5626, kappa: 0.4417, kb_relative_information_score: 649.447, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5632, predictive_accuracy: 0.5714, prior_entropy: 2.5035, recall: 0.5714, relative_absolute_error: 0.7067, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.237, root_relative_squared_error: 0.8502, scimark_benchmark: 1322.7383, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.5626, kappa: 0.4417, kb_relative_information_score: 649.447, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5632, predictive_accuracy: 0.5714, prior_entropy: 2.5035, recall: 0.5714, relative_absolute_error: 0.7067, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.237, root_relative_squared_error: 0.8502, scimark_benchmark: 1322.7383, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.5628, kappa: 0.4425, kb_relative_information_score: 648.0084, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5638, predictive_accuracy: 0.5714, prior_entropy: 2.5035, recall: 0.5714, relative_absolute_error: 0.7094, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2377, root_relative_squared_error: 0.8528, scimark_benchmark: 933.1165, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.5626, kappa: 0.4417, kb_relative_information_score: 649.447, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5632, predictive_accuracy: 0.5714, prior_entropy: 2.5035, recall: 0.5714, relative_absolute_error: 0.7067, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.237, root_relative_squared_error: 0.8502, scimark_benchmark: 933.1165, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, f_measure: 0.604, kappa: 0.4969, kb_relative_information_score: 718.6166, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6026, predictive_accuracy: 0.6139, prior_entropy: 2.5035, recall: 0.6139, relative_absolute_error: 0.6549, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.821, scimark_benchmark: 1318.5627, usercpu_time_millis: 860, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, f_measure: 0.5529, kappa: 0.4308, kb_relative_information_score: 616.7453, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5577, predictive_accuracy: 0.566, prior_entropy: 2.5035, recall: 0.566, relative_absolute_error: 0.6731, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2603, root_relative_squared_error: 0.9339, scimark_benchmark: 1064.8317, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7839, f_measure: 0.5581, kappa: 0.4392, kb_relative_information_score: 622.0515, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5626, predictive_accuracy: 0.5701, prior_entropy: 2.5035, recall: 0.5701, relative_absolute_error: 0.7126, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.242, root_relative_squared_error: 0.8684, scimark_benchmark: 1321.5205, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.5614, kappa: 0.4408, kb_relative_information_score: 640.5353, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5635, predictive_accuracy: 0.5714, prior_entropy: 2.5035, recall: 0.5714, relative_absolute_error: 0.7055, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2406, root_relative_squared_error: 0.8632, scimark_benchmark: 1227.9507, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.5614, kappa: 0.4408, kb_relative_information_score: 640.5353, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5635, predictive_accuracy: 0.5714, prior_entropy: 2.5035, recall: 0.5714, relative_absolute_error: 0.7055, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2406, root_relative_squared_error: 0.8632, scimark_benchmark: 833.3193, usercpu_time_millis: 340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 330,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7758, f_measure: 0.5562, kappa: 0.4295, kb_relative_information_score: 599.3186, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5637, predictive_accuracy: 0.5647, prior_entropy: 2.5035, recall: 0.5647, relative_absolute_error: 0.7165, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.8744, scimark_benchmark: 1339.4189, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6253, f_measure: 0.2436, kappa: 0.1852, kb_relative_information_score: 289.4441, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.1753, predictive_accuracy: 0.407, prior_entropy: 2.5035, recall: 0.407, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.9503, scimark_benchmark: 912.5006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.5581, kappa: 0.4345, kb_relative_information_score: 684.3782, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5573, predictive_accuracy: 0.564, prior_entropy: 2.5035, recall: 0.564, relative_absolute_error: 0.6396, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.9555, scimark_benchmark: 938.343, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.5614, kappa: 0.4408, kb_relative_information_score: 640.5353, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5635, predictive_accuracy: 0.5714, prior_entropy: 2.5035, recall: 0.5714, relative_absolute_error: 0.7055, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2406, root_relative_squared_error: 0.8632, scimark_benchmark: 825.5282, usercpu_time_millis: 360, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.5979, kappa: 0.4884, kb_relative_information_score: 497.5797, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6109, predictive_accuracy: 0.6105, prior_entropy: 2.5035, recall: 0.6105, relative_absolute_error: 0.8317, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.8694, scimark_benchmark: 934.1747, usercpu_time_millis: 1550, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 1370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.5947, kappa: 0.4882, kb_relative_information_score: 504.2829, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6087, predictive_accuracy: 0.6105, prior_entropy: 2.5035, recall: 0.6105, relative_absolute_error: 0.8276, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2419, root_relative_squared_error: 0.8678, scimark_benchmark: 932.0242, usercpu_time_millis: 360, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.5915, kappa: 0.4776, kb_relative_information_score: 702.8617, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5898, predictive_accuracy: 0.5984, prior_entropy: 2.5035, recall: 0.5984, relative_absolute_error: 0.647, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.841, scimark_benchmark: 1369.9744, usercpu_time_millis: 730, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.5955, kappa: 0.4832, kb_relative_information_score: 701.3881, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5932, predictive_accuracy: 0.6031, prior_entropy: 2.5035, recall: 0.6031, relative_absolute_error: 0.6538, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.8351, scimark_benchmark: 942.9518, usercpu_time_millis: 520, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.5971, kappa: 0.4867, kb_relative_information_score: 693.7584, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.595, predictive_accuracy: 0.6058, prior_entropy: 2.5035, recall: 0.6058, relative_absolute_error: 0.6671, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.832, scimark_benchmark: 1404.1865, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.5963, kappa: 0.4884, kb_relative_information_score: 691.4916, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5985, predictive_accuracy: 0.6078, prior_entropy: 2.5035, recall: 0.6078, relative_absolute_error: 0.6746, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.232, root_relative_squared_error: 0.8324, scimark_benchmark: 1331.6907, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7548, f_measure: 0.5652, kappa: 0.4447, kb_relative_information_score: 677.9658, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5636, predictive_accuracy: 0.5721, prior_entropy: 2.5035, recall: 0.5721, relative_absolute_error: 0.6453, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.259, root_relative_squared_error: 0.9291, scimark_benchmark: 869.6028, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6253, f_measure: 0.2436, kappa: 0.1852, kb_relative_information_score: 289.4441, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.1753, predictive_accuracy: 0.407, prior_entropy: 2.5035, recall: 0.407, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.9503, scimark_benchmark: 1372.2145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6253, f_measure: 0.2436, kappa: 0.1852, kb_relative_information_score: 289.4441, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.1753, predictive_accuracy: 0.407, prior_entropy: 2.5035, recall: 0.407, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.9503, scimark_benchmark: 942.6843, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6253, f_measure: 0.2436, kappa: 0.1852, kb_relative_information_score: 289.4441, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.1753, predictive_accuracy: 0.407, prior_entropy: 2.5035, recall: 0.407, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.9503, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6253, f_measure: 0.2436, kappa: 0.1852, kb_relative_information_score: 289.4441, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.1753, predictive_accuracy: 0.407, prior_entropy: 2.5035, recall: 0.407, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.9503, scimark_benchmark: 1304.9611, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6253, f_measure: 0.2436, kappa: 0.1852, kb_relative_information_score: 289.4441, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.1753, predictive_accuracy: 0.407, prior_entropy: 2.5035, recall: 0.407, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.9503, scimark_benchmark: 876.0664, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.5668, kappa: 0.4418, kb_relative_information_score: 717.9897, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5701, predictive_accuracy: 0.5748, prior_entropy: 2.5035, recall: 0.5748, relative_absolute_error: 0.6519, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2436, root_relative_squared_error: 0.8741, scimark_benchmark: 916.6405, usercpu_time_millis: 320, usercpu_time_millis_testing: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7642, f_measure: 0.5393, kappa: 0.4024, kb_relative_information_score: 711.9701, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5463, predictive_accuracy: 0.5465, prior_entropy: 2.5035, recall: 0.5465, relative_absolute_error: 0.6433, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.9198, scimark_benchmark: 889.3151, usercpu_time_millis: 200, usercpu_time_millis_testing: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1484, kb_relative_information_score: 42.1581, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.0973, predictive_accuracy: 0.312, prior_entropy: 2.5035, recall: 0.312, relative_absolute_error: 1.0761, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2854, root_relative_squared_error: 1.0238, scimark_benchmark: 930.5999, usercpu_time_millis: 4150, usercpu_time_millis_testing: 960, usercpu_time_millis_training: 3190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.5496, kappa: 0.4326, kb_relative_information_score: 172.6681, mean_absolute_error: 0.1634, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5981, predictive_accuracy: 0.5714, prior_entropy: 2.5035, recall: 0.5714, relative_absolute_error: 1.0507, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.9986, scimark_benchmark: 882.7843, usercpu_time_millis: 190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.5781, kappa: 0.4612, kb_relative_information_score: 637.1986, mean_absolute_error: 0.1117, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5893, predictive_accuracy: 0.5889, prior_entropy: 2.5035, recall: 0.5889, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.8425, scimark_benchmark: 944.0517, usercpu_time_millis: 930, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7184, f_measure: 0.567, kappa: 0.4529, kb_relative_information_score: 726.7624, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5911, predictive_accuracy: 0.5849, prior_entropy: 2.5035, recall: 0.5849, relative_absolute_error: 0.5338, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2881, root_relative_squared_error: 1.0338, scimark_benchmark: 912.5006, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.5587, kappa: 0.438, kb_relative_information_score: 638.8752, mean_absolute_error: 0.1112, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5564, predictive_accuracy: 0.5681, prior_entropy: 2.5035, recall: 0.5681, relative_absolute_error: 0.7152, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2382, root_relative_squared_error: 0.8547, scimark_benchmark: 1072.3689, usercpu_time_millis: 470, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, f_measure: 0.604, kappa: 0.4969, kb_relative_information_score: 718.6166, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6026, predictive_accuracy: 0.6139, prior_entropy: 2.5035, recall: 0.6139, relative_absolute_error: 0.6549, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.821, scimark_benchmark: 1291.6995, usercpu_time_millis: 750, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6931, f_measure: 0.5273, kappa: 0.392, kb_relative_information_score: 645.4898, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5276, predictive_accuracy: 0.5276, prior_entropy: 2.5035, recall: 0.5276, relative_absolute_error: 0.6075, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3074, root_relative_squared_error: 1.1028, scimark_benchmark: 1319.9043, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7908, f_measure: 0.5743, kappa: 0.4584, kb_relative_information_score: 653.153, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5769, predictive_accuracy: 0.5849, prior_entropy: 2.5035, recall: 0.5849, relative_absolute_error: 0.6868, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.8717, scimark_benchmark: 1301.9956, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, f_measure: 0.5675, kappa: 0.4505, kb_relative_information_score: 604.7996, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5723, predictive_accuracy: 0.5802, prior_entropy: 2.5035, recall: 0.5802, relative_absolute_error: 0.7154, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2426, root_relative_squared_error: 0.8703, scimark_benchmark: 1327.8711, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7017, f_measure: 0.5384, kappa: 0.412, kb_relative_information_score: 672.4887, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5397, predictive_accuracy: 0.5431, prior_entropy: 2.5035, recall: 0.5431, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3023, root_relative_squared_error: 1.0846, scimark_benchmark: 1066.7184, usercpu_time_millis: 360, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5346, f_measure: 0.2539, kappa: 0.0758, kb_relative_information_score: 258.0806, mean_absolute_error: 0.1329, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.3544, predictive_accuracy: 0.3356, prior_entropy: 2.5035, recall: 0.3356, relative_absolute_error: 0.8545, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3645, root_relative_squared_error: 1.3079, scimark_benchmark: 1384.4418, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,

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