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OpenML
OpenML
Supervised Classification on disclosure_x_bias

Supervised Classification on disclosure_x_bias

Task 3640 Supervised Classification disclosure_x_bias 572 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5202, f_measure: 0.5108, kappa: 0.0204, kb_relative_information_score: 13.4887, mean_absolute_error: 0.4884, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5111, predictive_accuracy: 0.5106, prior_entropy: 0.9987, recall: 0.5106, relative_absolute_error: 0.9786, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5684, root_relative_squared_error: 1.1378, scimark_benchmark: 1324.8395, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5076, f_measure: 0.3945, kappa: 0.0158, kb_relative_information_score: 34.3859, mean_absolute_error: 0.4728, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.553, predictive_accuracy: 0.5272, prior_entropy: 0.9987, recall: 0.5272, relative_absolute_error: 0.9473, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6876, root_relative_squared_error: 1.3765, scimark_benchmark: 1312.3073, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3571, kb_relative_information_score: 26.3653, mean_absolute_error: 0.4789, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.2716, predictive_accuracy: 0.5211, prior_entropy: 0.9987, recall: 0.5211, relative_absolute_error: 0.9594, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.692, root_relative_squared_error: 1.3852, scimark_benchmark: 887.6719, usercpu_time_millis: 540, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.552, f_measure: 0.5521, kappa: 0.1047, kb_relative_information_score: 72.4836, mean_absolute_error: 0.4441, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5543, predictive_accuracy: 0.5559, prior_entropy: 0.9987, recall: 0.5559, relative_absolute_error: 0.8898, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6664, root_relative_squared_error: 1.334, scimark_benchmark: 1297.6599, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5621, f_measure: 0.5424, kappa: 0.0842, kb_relative_information_score: 13.0993, mean_absolute_error: 0.4915, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5436, predictive_accuracy: 0.5453, prior_entropy: 0.9987, recall: 0.5453, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9955, scimark_benchmark: 1335.643, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5037, f_measure: 0.4922, kappa: 0.0076, kb_relative_information_score: 14.3345, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5052, predictive_accuracy: 0.5121, prior_entropy: 0.9987, recall: 0.5121, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6985, root_relative_squared_error: 1.3983, scimark_benchmark: 942.6843, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5692, f_measure: 0.5546, kappa: 0.1074, kb_relative_information_score: 16.3195, mean_absolute_error: 0.4894, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5548, predictive_accuracy: 0.5559, prior_entropy: 0.9987, recall: 0.5559, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9956, scimark_benchmark: 1028.5889, usercpu_time_millis: 940, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, f_measure: 0.3571, kb_relative_information_score: -0.0184, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.2716, predictive_accuracy: 0.5211, prior_entropy: 0.9987, recall: 0.5211, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1304.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, f_measure: 0.3571, kb_relative_information_score: -0.0213, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.2716, predictive_accuracy: 0.5211, prior_entropy: 0.9987, recall: 0.5211, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1250.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5067, f_measure: 0.4985, kappa: -0.0046, kb_relative_information_score: 2.4352, mean_absolute_error: 0.4971, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.4986, predictive_accuracy: 0.4985, prior_entropy: 0.9987, recall: 0.4985, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.532, root_relative_squared_error: 1.0649, scimark_benchmark: 825.5282, usercpu_time_millis: 330, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4707, f_measure: 0.4715, kappa: -0.0585, kb_relative_information_score: -39.8043, mean_absolute_error: 0.5287, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.4717, predictive_accuracy: 0.4713, prior_entropy: 0.9987, recall: 0.4713, relative_absolute_error: 1.0593, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.7271, root_relative_squared_error: 1.4555, scimark_benchmark: 1307.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5123, f_measure: 0.5235, kappa: 0.0448, kb_relative_information_score: 7.9492, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5233, predictive_accuracy: 0.5242, prior_entropy: 0.9987, recall: 0.5242, relative_absolute_error: 0.9896, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5337, root_relative_squared_error: 1.0683, scimark_benchmark: 1306.6379, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5153, f_measure: 0.512, kappa: 0.0354, kb_relative_information_score: 5.0441, mean_absolute_error: 0.4963, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.52, predictive_accuracy: 0.5242, prior_entropy: 0.9987, recall: 0.5242, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.539, root_relative_squared_error: 1.0789, scimark_benchmark: 1327.6929, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4737, f_measure: 0.4728, kappa: -0.0524, kb_relative_information_score: -37.7992, mean_absolute_error: 0.5272, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.4746, predictive_accuracy: 0.4728, prior_entropy: 0.9987, recall: 0.4728, relative_absolute_error: 1.0563, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.7261, root_relative_squared_error: 1.4535, scimark_benchmark: 1291.6995, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3571, kb_relative_information_score: 26.3653, mean_absolute_error: 0.4789, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.2716, predictive_accuracy: 0.5211, prior_entropy: 0.9987, recall: 0.5211, relative_absolute_error: 0.9594, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.692, root_relative_squared_error: 1.3852, scimark_benchmark: 1335.4072, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, f_measure: 0.3571, kb_relative_information_score: -0.0156, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.2716, predictive_accuracy: 0.5211, prior_entropy: 0.9987, recall: 0.5211, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4787, f_measure: 0.4792, kappa: -0.0428, kb_relative_information_score: -25.7683, mean_absolute_error: 0.5181, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.4793, predictive_accuracy: 0.4819, prior_entropy: 0.9987, recall: 0.4819, relative_absolute_error: 1.0381, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.7198, root_relative_squared_error: 1.4409, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5253, f_measure: 0.5205, kappa: 0.0511, kb_relative_information_score: 40.4013, mean_absolute_error: 0.4683, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5284, predictive_accuracy: 0.5317, prior_entropy: 0.9987, recall: 0.5317, relative_absolute_error: 0.9382, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6843, root_relative_squared_error: 1.3698, scimark_benchmark: 1353.5686, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, f_measure: 0.3571, kb_relative_information_score: -0.0213, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.2716, predictive_accuracy: 0.5211, prior_entropy: 0.9987, recall: 0.5211, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1358.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, f_measure: 0.3571, kb_relative_information_score: -0.0156, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.2716, predictive_accuracy: 0.5211, prior_entropy: 0.9987, recall: 0.5211, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5502, f_measure: 0.5394, kappa: 0.0777, kb_relative_information_score: 20.1259, mean_absolute_error: 0.4865, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5397, predictive_accuracy: 0.5393, prior_entropy: 0.9987, recall: 0.5393, relative_absolute_error: 0.9748, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5076, root_relative_squared_error: 1.0162, scimark_benchmark: 931.2336, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5385, f_measure: 0.5561, kappa: 0.1111, kb_relative_information_score: 12.8682, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5564, predictive_accuracy: 0.5559, prior_entropy: 0.9987, recall: 0.5559, relative_absolute_error: 0.9855, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9974, scimark_benchmark: 945.6434, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5385, f_measure: 0.5561, kappa: 0.1111, kb_relative_information_score: 12.8682, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5564, predictive_accuracy: 0.5559, prior_entropy: 0.9987, recall: 0.5559, relative_absolute_error: 0.9855, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9974, scimark_benchmark: 941.7954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5385, f_measure: 0.5561, kappa: 0.1111, kb_relative_information_score: 12.8682, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5564, predictive_accuracy: 0.5559, prior_entropy: 0.9987, recall: 0.5559, relative_absolute_error: 0.9855, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9974, scimark_benchmark: 923.7642, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5385, f_measure: 0.5561, kappa: 0.1111, kb_relative_information_score: 12.8682, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5564, predictive_accuracy: 0.5559, prior_entropy: 0.9987, recall: 0.5559, relative_absolute_error: 0.9855, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9974, scimark_benchmark: 894.7455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.543, f_measure: 0.544, kappa: 0.0869, kb_relative_information_score: 26.7341, mean_absolute_error: 0.4816, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5443, predictive_accuracy: 0.5438, prior_entropy: 0.9987, recall: 0.5438, relative_absolute_error: 0.965, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5407, root_relative_squared_error: 1.0824, scimark_benchmark: 936.7115, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5434, f_measure: 0.5408, kappa: 0.0802, kb_relative_information_score: 27.4487, mean_absolute_error: 0.481, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5409, predictive_accuracy: 0.5408, prior_entropy: 0.9987, recall: 0.5408, relative_absolute_error: 0.9637, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5402, root_relative_squared_error: 1.0814, scimark_benchmark: 943.2817, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5377, f_measure: 0.5319, kappa: 0.063, kb_relative_information_score: 22.6525, mean_absolute_error: 0.4838, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5323, predictive_accuracy: 0.5317, prior_entropy: 0.9987, recall: 0.5317, relative_absolute_error: 0.9694, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5317, root_relative_squared_error: 1.0643, scimark_benchmark: 942.1229, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5354, f_measure: 0.535, kappa: 0.0681, kb_relative_information_score: 20.5529, mean_absolute_error: 0.4853, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5351, predictive_accuracy: 0.5363, prior_entropy: 0.9987, recall: 0.5363, relative_absolute_error: 0.9723, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5333, root_relative_squared_error: 1.0675, scimark_benchmark: 922.9039, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5416, f_measure: 0.5327, kappa: 0.0697, kb_relative_information_score: 16.6831, mean_absolute_error: 0.4884, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5362, predictive_accuracy: 0.5332, prior_entropy: 0.9987, recall: 0.5332, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5234, root_relative_squared_error: 1.0477, scimark_benchmark: 938.4278, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5367, f_measure: 0.5245, kappa: 0.047, kb_relative_information_score: 20.0911, mean_absolute_error: 0.4855, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5244, predictive_accuracy: 0.5257, prior_entropy: 0.9987, recall: 0.5257, relative_absolute_error: 0.9727, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5206, root_relative_squared_error: 1.042, scimark_benchmark: 936.6206, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5426, f_measure: 0.519, kappa: 0.0358, kb_relative_information_score: 19.3845, mean_absolute_error: 0.4863, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5188, predictive_accuracy: 0.5196, prior_entropy: 0.9987, recall: 0.5196, relative_absolute_error: 0.9742, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5139, root_relative_squared_error: 1.0287, scimark_benchmark: 924.6116, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5581, f_measure: 0.5474, kappa: 0.0929, kb_relative_information_score: 22.8052, mean_absolute_error: 0.4846, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5474, predictive_accuracy: 0.5483, prior_entropy: 0.9987, recall: 0.5483, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5072, root_relative_squared_error: 1.0153, scimark_benchmark: 924.6116, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, build_cpu_time: 0.1714, build_memory: 292381963.432, f_measure: 0.5468, kappa: 0.092, kb_relative_information_score: 51.5476, mean_absolute_error: 0.4608, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5468, predictive_accuracy: 0.5468, prior_entropy: 0.9987, recall: 0.5468, relative_absolute_error: 0.9232, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6604, root_relative_squared_error: 1.3219, scimark_benchmark: 927.3354,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5324, build_cpu_time: 10.6699, build_memory: 62591851.71, f_measure: 0.5242, kappa: 0.0499, kb_relative_information_score: 11.7393, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.526, predictive_accuracy: 0.5242, prior_entropy: 0.9987, recall: 0.5242, relative_absolute_error: 0.985, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5139, root_relative_squared_error: 1.0287, scimark_benchmark: 892.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5357, build_cpu_time: 20.1985, build_memory: 665109003.2749, f_measure: 0.5375, kappa: 0.0729, kb_relative_information_score: 16.209, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5373, predictive_accuracy: 0.5378, prior_entropy: 0.9987, recall: 0.5378, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5256, root_relative_squared_error: 1.0522, scimark_benchmark: 937.9119,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.554, build_cpu_time: 1.9768, build_memory: 92158478.0786, f_measure: 0.5418, kappa: 0.0817, kb_relative_information_score: 16.0182, mean_absolute_error: 0.4895, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5417, predictive_accuracy: 0.5423, prior_entropy: 0.9987, recall: 0.5423, relative_absolute_error: 0.9808, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5038, root_relative_squared_error: 1.0085, scimark_benchmark: 942.0692,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5537, build_cpu_time: 1.8552, build_memory: 238113043.7341, f_measure: 0.5434, kappa: 0.0848, kb_relative_information_score: 16.0018, mean_absolute_error: 0.4896, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5433, predictive_accuracy: 0.5438, prior_entropy: 0.9987, recall: 0.5438, relative_absolute_error: 0.9809, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5038, root_relative_squared_error: 1.0085, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5159, build_cpu_time: 0.2101, build_memory: 44722297.2689, f_measure: 0.5255, kappa: 0.0492, kb_relative_information_score: 8.153, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5254, predictive_accuracy: 0.5257, prior_entropy: 0.9987, recall: 0.5257, relative_absolute_error: 0.9894, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5348, root_relative_squared_error: 1.0705, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5149, build_cpu_time: 0.4569, build_memory: 701787976.3505, f_measure: 0.5259, kappa: 0.0499, kb_relative_information_score: 9.5928, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5259, predictive_accuracy: 0.5272, prior_entropy: 0.9987, recall: 0.5272, relative_absolute_error: 0.9879, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5479, root_relative_squared_error: 1.0968, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5261, build_cpu_time: 0.7835, build_memory: 1543371749.9094, f_measure: 0.5407, kappa: 0.0795, kb_relative_information_score: 20.7236, mean_absolute_error: 0.4858, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5406, predictive_accuracy: 0.5408, prior_entropy: 0.9987, recall: 0.5408, relative_absolute_error: 0.9734, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5628, root_relative_squared_error: 1.1267, scimark_benchmark: 874.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5154, build_cpu_time: 1.5512, build_memory: 487771538.7069, f_measure: 0.5272, kappa: 0.0528, kb_relative_information_score: 14.223, mean_absolute_error: 0.4895, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5273, predictive_accuracy: 0.5272, prior_entropy: 0.9987, recall: 0.5272, relative_absolute_error: 0.9808, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5912, root_relative_squared_error: 1.1834, scimark_benchmark: 937.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5358, build_cpu_time: 3.6307, build_memory: 1155455812.858, f_measure: 0.5289, kappa: 0.0574, kb_relative_information_score: 32.5762, mean_absolute_error: 0.4751, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5296, predictive_accuracy: 0.5287, prior_entropy: 0.9987, recall: 0.5287, relative_absolute_error: 0.952, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6048, root_relative_squared_error: 1.2107, scimark_benchmark: 914.1182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5574, build_cpu_time: 0.0974, build_memory: 182102266.719, f_measure: 0.5656, kappa: 0.1293, kb_relative_information_score: 20.212, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5656, predictive_accuracy: 0.5665, prior_entropy: 0.9987, recall: 0.5665, relative_absolute_error: 0.9762, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.506, root_relative_squared_error: 1.0129, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5574, build_cpu_time: 0.1062, build_memory: 806209785.148, f_measure: 0.5656, kappa: 0.1293, kb_relative_information_score: 20.212, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5656, predictive_accuracy: 0.5665, prior_entropy: 0.9987, recall: 0.5665, relative_absolute_error: 0.9762, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.506, root_relative_squared_error: 1.0129, scimark_benchmark: 913.3372,

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