OpenML
Supervised Classification on plasma_retinol

Supervised Classification on plasma_retinol

Task 3778 Supervised Classification plasma_retinol 549 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.544, f_measure: 0.5233, kappa: 0.0171, kb_relative_information_score: 9.7386, mean_absolute_error: 0.4715, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5206, predictive_accuracy: 0.5302, prior_entropy: 0.9827, recall: 0.5302, relative_absolute_error: 0.9661, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5363, root_relative_squared_error: 1.0858, scimark_benchmark: 945.6434, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5663, f_measure: 0.5748, kappa: 0.1234, kb_relative_information_score: 16.2853, mean_absolute_error: 0.4633, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5734, predictive_accuracy: 0.581, prior_entropy: 0.9827, recall: 0.581, relative_absolute_error: 0.9495, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5195, root_relative_squared_error: 1.0518, scimark_benchmark: 947.9494, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5876, f_measure: 0.5835, kappa: 0.142, kb_relative_information_score: 18.59, mean_absolute_error: 0.4599, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.582, predictive_accuracy: 0.5873, prior_entropy: 0.9827, recall: 0.5873, relative_absolute_error: 0.9425, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5055, root_relative_squared_error: 1.0235, scimark_benchmark: 931.2336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4878, f_measure: 0.4232, kb_relative_information_score: -0.0579, mean_absolute_error: 0.488, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.3338, predictive_accuracy: 0.5778, prior_entropy: 0.9827, recall: 0.5778, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1.0001, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5784, f_measure: 0.3724, kappa: 0.0526, kb_relative_information_score: -17.9786, mean_absolute_error: 0.5076, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.6089, predictive_accuracy: 0.4667, prior_entropy: 0.9827, recall: 0.4667, relative_absolute_error: 1.0402, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.0822, scimark_benchmark: 943.2745, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5878, f_measure: 0.5748, kappa: 0.1234, kb_relative_information_score: 22.7894, mean_absolute_error: 0.4532, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5734, predictive_accuracy: 0.581, prior_entropy: 0.9827, recall: 0.581, relative_absolute_error: 0.9288, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5119, root_relative_squared_error: 1.0364, scimark_benchmark: 933.8635, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5588, f_measure: 0.5524, kappa: 0.0778, kb_relative_information_score: 13.4715, mean_absolute_error: 0.4662, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.552, predictive_accuracy: 0.5651, prior_entropy: 0.9827, recall: 0.5651, relative_absolute_error: 0.9554, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5298, root_relative_squared_error: 1.0726, scimark_benchmark: 933.8635, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4878, f_measure: 0.4232, kb_relative_information_score: -0.0579, mean_absolute_error: 0.488, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.3338, predictive_accuracy: 0.5778, prior_entropy: 0.9827, recall: 0.5778, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1.0001, scimark_benchmark: 929.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5502, f_measure: 0.5514, kappa: 0.0778, kb_relative_information_score: 7.2383, mean_absolute_error: 0.476, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5531, predictive_accuracy: 0.5683, prior_entropy: 0.9827, recall: 0.5683, relative_absolute_error: 0.9755, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5035, root_relative_squared_error: 1.0193, scimark_benchmark: 911.0478, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4232, kb_relative_information_score: 39.5233, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.3338, predictive_accuracy: 0.5778, prior_entropy: 0.9827, recall: 0.5778, relative_absolute_error: 0.8652, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156, scimark_benchmark: 902.4773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5245, f_measure: 0.5272, kappa: 0.0315, kb_relative_information_score: 3.1397, mean_absolute_error: 0.4796, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5275, predictive_accuracy: 0.527, prior_entropy: 0.9827, recall: 0.527, relative_absolute_error: 0.9829, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6099, root_relative_squared_error: 1.2348, scimark_benchmark: 929.0255, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5365, f_measure: 0.5371, kappa: 0.0454, kb_relative_information_score: 0.2058, mean_absolute_error: 0.4854, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5349, predictive_accuracy: 0.546, prior_entropy: 0.9827, recall: 0.546, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0144, scimark_benchmark: 947.9494, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5924, f_measure: 0.5672, kappa: 0.1275, kb_relative_information_score: 8.1595, mean_absolute_error: 0.4764, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5917, predictive_accuracy: 0.6032, prior_entropy: 0.9827, recall: 0.6032, relative_absolute_error: 0.9762, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4873, root_relative_squared_error: 0.9867, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5417, f_measure: 0.5355, kappa: 0.0462, kb_relative_information_score: 11.4172, mean_absolute_error: 0.467, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5346, predictive_accuracy: 0.5365, prior_entropy: 0.9827, recall: 0.5365, relative_absolute_error: 0.957, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5719, root_relative_squared_error: 1.1579, scimark_benchmark: 901.0726, usercpu_time_millis: 710, usercpu_time_millis_testing: 700, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4811, f_measure: 0.4935, kappa: 0.026, kb_relative_information_score: -1.8768, mean_absolute_error: 0.4894, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5369, predictive_accuracy: 0.5714, prior_entropy: 0.9827, recall: 0.5714, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5028, root_relative_squared_error: 1.0181, scimark_benchmark: 942.1229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5516, f_measure: 0.5454, kappa: 0.0626, kb_relative_information_score: 24.2128, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5433, predictive_accuracy: 0.5524, prior_entropy: 0.9827, recall: 0.5524, relative_absolute_error: 0.9131, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6581, root_relative_squared_error: 1.3325, scimark_benchmark: 889.9795, usercpu_time_millis: 680, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5442, f_measure: 0.5656, kappa: 0.1044, kb_relative_information_score: 33.5271, mean_absolute_error: 0.4316, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5638, predictive_accuracy: 0.5714, prior_entropy: 0.9827, recall: 0.5714, relative_absolute_error: 0.8844, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6537, root_relative_squared_error: 1.3234, scimark_benchmark: 915.2795, usercpu_time_millis: 1250, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.515, f_measure: 0.5199, kappa: 0.0145, kb_relative_information_score: 0.881, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5192, predictive_accuracy: 0.5206, prior_entropy: 0.9827, recall: 0.5206, relative_absolute_error: 0.9873, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6378, root_relative_squared_error: 1.2914, scimark_benchmark: 935.8834, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5312, f_measure: 0.5175, kappa: 0.011, kb_relative_information_score: 4.5273, mean_absolute_error: 0.4748, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5175, predictive_accuracy: 0.5175, prior_entropy: 0.9827, recall: 0.5175, relative_absolute_error: 0.9731, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5914, root_relative_squared_error: 1.1973, scimark_benchmark: 945.6434, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5236, f_measure: 0.5212, kappa: 0.0552, kb_relative_information_score: 3.3583, mean_absolute_error: 0.4823, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5534, predictive_accuracy: 0.5778, prior_entropy: 0.9827, recall: 0.5778, relative_absolute_error: 0.9884, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0155, scimark_benchmark: 935.8986, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4232, kb_relative_information_score: 39.5233, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.3338, predictive_accuracy: 0.5778, prior_entropy: 0.9827, recall: 0.5778, relative_absolute_error: 0.8652, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156, scimark_benchmark: 935.8986, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5372, f_measure: 0.544, kappa: 0.0796, kb_relative_information_score: 41.594, mean_absolute_error: 0.419, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5614, predictive_accuracy: 0.581, prior_entropy: 0.9827, recall: 0.581, relative_absolute_error: 0.8587, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6473, root_relative_squared_error: 1.3106, scimark_benchmark: 799.2185, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5342, build_cpu_time: 0.1234, build_memory: 1086452560.9397, f_measure: 0.5956, kappa: 0.1667, kb_relative_information_score: 6.3974, mean_absolute_error: 0.4786, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5943, predictive_accuracy: 0.6, prior_entropy: 0.9827, recall: 0.6, relative_absolute_error: 0.9809, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.0237, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5342, build_cpu_time: 0.1257, build_memory: 1133237378.3873, f_measure: 0.5956, kappa: 0.1667, kb_relative_information_score: 6.3974, mean_absolute_error: 0.4786, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5943, predictive_accuracy: 0.6, prior_entropy: 0.9827, recall: 0.6, relative_absolute_error: 0.9809, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.0237, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5343, build_cpu_time: 0.1147, build_memory: 1557979140.0127, f_measure: 0.5892, kappa: 0.1534, kb_relative_information_score: 6.7444, mean_absolute_error: 0.4782, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5878, predictive_accuracy: 0.5937, prior_entropy: 0.9827, recall: 0.5937, relative_absolute_error: 0.9801, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5054, root_relative_squared_error: 1.0233, scimark_benchmark: 926.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5375, build_cpu_time: 0.088, build_memory: 1235130661.1556, f_measure: 0.5885, kappa: 0.1517, kb_relative_information_score: 7.5074, mean_absolute_error: 0.4774, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5872, predictive_accuracy: 0.5937, prior_entropy: 0.9827, recall: 0.5937, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5037, root_relative_squared_error: 1.0199, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5615, build_cpu_time: 0.0483, build_memory: 812531027.5556, f_measure: 0.5486, kappa: 0.0703, kb_relative_information_score: 22.7978, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5467, predictive_accuracy: 0.5524, prior_entropy: 0.9827, recall: 0.5524, relative_absolute_error: 0.9198, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5773, root_relative_squared_error: 1.1687, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.571, build_cpu_time: 0.0688, build_memory: 100176864.6349, f_measure: 0.5771, kappa: 0.1288, kb_relative_information_score: 32.1345, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5755, predictive_accuracy: 0.581, prior_entropy: 0.9827, recall: 0.581, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5829, root_relative_squared_error: 1.1802, scimark_benchmark: 945.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6006, build_cpu_time: 0.0997, build_memory: 676858347.073, f_measure: 0.5942, kappa: 0.1632, kb_relative_information_score: 43.2262, mean_absolute_error: 0.4196, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5932, predictive_accuracy: 0.6, prior_entropy: 0.9827, recall: 0.6, relative_absolute_error: 0.8599, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5747, root_relative_squared_error: 1.1635, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5937, build_cpu_time: 0.102, build_memory: 434245531.5048, f_measure: 0.5833, kappa: 0.1406, kb_relative_information_score: 38.6132, mean_absolute_error: 0.4258, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5824, predictive_accuracy: 0.5905, prior_entropy: 0.9827, recall: 0.5905, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1806, scimark_benchmark: 939.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.597, build_cpu_time: 0.1603, build_memory: 52406291.9365, f_measure: 0.5849, kappa: 0.1442, kb_relative_information_score: 40.7867, mean_absolute_error: 0.4225, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5836, predictive_accuracy: 0.5905, prior_entropy: 0.9827, recall: 0.5905, relative_absolute_error: 0.8659, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5806, root_relative_squared_error: 1.1756, scimark_benchmark: 944.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5056, build_cpu_time: 0.0075, build_memory: 697456914.2857, f_measure: 0.5154, kappa: 0.0095, kb_relative_information_score: -1.5636, mean_absolute_error: 0.4851, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5167, predictive_accuracy: 0.5143, prior_entropy: 0.9827, recall: 0.5143, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6954, root_relative_squared_error: 1.4079, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5056, build_cpu_time: 0.0049, build_memory: 156542451.0984, f_measure: 0.5154, kappa: 0.0095, kb_relative_information_score: -1.5636, mean_absolute_error: 0.4851, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5167, predictive_accuracy: 0.5143, prior_entropy: 0.9827, recall: 0.5143, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6954, root_relative_squared_error: 1.4079, scimark_benchmark: 907.3828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5056, build_cpu_time: 0.0045, build_memory: 2248480161.1683, f_measure: 0.5154, kappa: 0.0095, kb_relative_information_score: -1.5636, mean_absolute_error: 0.4851, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5167, predictive_accuracy: 0.5143, prior_entropy: 0.9827, recall: 0.5143, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6954, root_relative_squared_error: 1.4079, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5056, build_cpu_time: 0.0024, build_memory: 2057911765.2064, f_measure: 0.5154, kappa: 0.0095, kb_relative_information_score: -1.5636, mean_absolute_error: 0.4851, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5167, predictive_accuracy: 0.5143, prior_entropy: 0.9827, recall: 0.5143, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6954, root_relative_squared_error: 1.4079, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5056, build_cpu_time: 0.0034, build_memory: 1528548167.2381, f_measure: 0.5154, kappa: 0.0095, kb_relative_information_score: -1.5636, mean_absolute_error: 0.4851, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5167, predictive_accuracy: 0.5143, prior_entropy: 0.9827, recall: 0.5143, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6954, root_relative_squared_error: 1.4079, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5608, build_cpu_time: 0.1038, build_memory: 331397129.1937, f_measure: 0.5562, kappa: 0.0855, kb_relative_information_score: 9.4005, mean_absolute_error: 0.4732, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5558, predictive_accuracy: 0.5683, prior_entropy: 0.9827, recall: 0.5683, relative_absolute_error: 0.9698, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0138, scimark_benchmark: 946.9091,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5562, build_cpu_time: 0.1602, build_memory: 41783953.981, f_measure: 0.55, kappa: 0.0721, kb_relative_information_score: 13.0392, mean_absolute_error: 0.467, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5483, predictive_accuracy: 0.5587, prior_entropy: 0.9827, recall: 0.5587, relative_absolute_error: 0.9571, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5218, root_relative_squared_error: 1.0566, scimark_benchmark: 941.1732,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5312, build_cpu_time: 0.2544, build_memory: 2087383429.181, f_measure: 0.5175, kappa: 0.011, kb_relative_information_score: 4.5273, mean_absolute_error: 0.4748, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5175, predictive_accuracy: 0.5175, prior_entropy: 0.9827, recall: 0.5175, relative_absolute_error: 0.9731, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5914, root_relative_squared_error: 1.1973, scimark_benchmark: 933.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5236, build_cpu_time: 0.0028, build_memory: 717199865.9048, f_measure: 0.5212, kappa: 0.0552, kb_relative_information_score: 3.3583, mean_absolute_error: 0.4823, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5534, predictive_accuracy: 0.5778, prior_entropy: 0.9827, recall: 0.5778, relative_absolute_error: 0.9884, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0155, scimark_benchmark: 933.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5895, build_cpu_time: 0.0963, build_memory: 427404351.2381, f_measure: 0.5583, kappa: 0.0893, kb_relative_information_score: 15.151, mean_absolute_error: 0.4659, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5572, predictive_accuracy: 0.5683, prior_entropy: 0.9827, recall: 0.5683, relative_absolute_error: 0.9548, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.0003, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5626, build_cpu_time: 0.0141, build_memory: 203933899.9111, f_measure: 0.5665, kappa: 0.1066, kb_relative_information_score: 9.6024, mean_absolute_error: 0.475, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5665, predictive_accuracy: 0.5778, prior_entropy: 0.9827, recall: 0.5778, relative_absolute_error: 0.9734, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 0.9999, scimark_benchmark: 920.2722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5476, build_cpu_time: 0.0028, build_memory: 44258526.8825, f_measure: 0.5437, kappa: 0.0668, kb_relative_information_score: 16.6063, mean_absolute_error: 0.4574, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5447, predictive_accuracy: 0.5429, prior_entropy: 0.9827, recall: 0.5429, relative_absolute_error: 0.9374, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6738, root_relative_squared_error: 1.3641, scimark_benchmark: 912.1058,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5353, build_cpu_time: 0.0141, build_memory: 212855883.327, f_measure: 0.5277, kappa: 0.0775, kb_relative_information_score: 47.8061, mean_absolute_error: 0.4095, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5757, predictive_accuracy: 0.5905, prior_entropy: 0.9827, recall: 0.5905, relative_absolute_error: 0.8392, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6399, root_relative_squared_error: 1.2957, scimark_benchmark: 928.1083,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.522, build_cpu_time: 0.0012, build_memory: 634729843.454, f_measure: 0.4648, kappa: 0.0357, kb_relative_information_score: -17.534, mean_absolute_error: 0.5073, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.537, predictive_accuracy: 0.4857, prior_entropy: 0.9827, recall: 0.4857, relative_absolute_error: 1.0396, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5791, root_relative_squared_error: 1.1726, scimark_benchmark: 945.8881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.522, build_cpu_time: 0.001, build_memory: 61161272, f_measure: 0.4648, kappa: 0.0357, kb_relative_information_score: -17.534, mean_absolute_error: 0.5073, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.537, predictive_accuracy: 0.4857, prior_entropy: 0.9827, recall: 0.4857, relative_absolute_error: 1.0396, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5791, root_relative_squared_error: 1.1726, scimark_benchmark: 942.4411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5714, build_cpu_time: 0.0249, build_memory: 1067530273.1175, f_measure: 0.572, kappa: 0.1182, kb_relative_information_score: 14.4116, mean_absolute_error: 0.4662, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5727, predictive_accuracy: 0.5841, prior_entropy: 0.9827, recall: 0.5841, relative_absolute_error: 0.9554, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5035, root_relative_squared_error: 1.0193, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5714, build_cpu_time: 0.0355, build_memory: 915807969.6, f_measure: 0.572, kappa: 0.1182, kb_relative_information_score: 14.4116, mean_absolute_error: 0.4662, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5727, predictive_accuracy: 0.5841, prior_entropy: 0.9827, recall: 0.5841, relative_absolute_error: 0.9554, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5035, root_relative_squared_error: 1.0193, scimark_benchmark: 934.4754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6002, build_cpu_time: 0.0156, build_memory: 871126356.6222, f_measure: 0.5823, kappa: 0.1393, kb_relative_information_score: 15.5641, mean_absolute_error: 0.4666, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5833, predictive_accuracy: 0.5937, prior_entropy: 0.9827, recall: 0.5937, relative_absolute_error: 0.9561, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4911, root_relative_squared_error: 0.9943, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5403, build_cpu_time: 0.0013, build_memory: 312743426.8698, f_measure: 0.5551, kappa: 0.0836, kb_relative_information_score: 33.3111, mean_absolute_error: 0.4317, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5551, predictive_accuracy: 0.5683, prior_entropy: 0.9827, recall: 0.5683, relative_absolute_error: 0.8848, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6571, root_relative_squared_error: 1.3303, scimark_benchmark: 927.6633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.522, build_cpu_time: 0.0009, build_memory: 155690137.0667, f_measure: 0.4648, kappa: 0.0357, kb_relative_information_score: -17.534, mean_absolute_error: 0.5073, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.537, predictive_accuracy: 0.4857, prior_entropy: 0.9827, recall: 0.4857, relative_absolute_error: 1.0396, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5791, root_relative_squared_error: 1.1726, scimark_benchmark: 940.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.57, build_cpu_time: 0.4841, build_memory: 473894194.946, f_measure: 0.5675, kappa: 0.1212, kb_relative_information_score: 30.8897, mean_absolute_error: 0.4397, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.583, predictive_accuracy: 0.5968, prior_entropy: 0.9827, recall: 0.5968, relative_absolute_error: 0.901, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5484, root_relative_squared_error: 1.1103, scimark_benchmark: 936.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.57, build_cpu_time: 0.2832, build_memory: 125428948.4444, f_measure: 0.5675, kappa: 0.1212, kb_relative_information_score: 30.8897, mean_absolute_error: 0.4397, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.583, predictive_accuracy: 0.5968, prior_entropy: 0.9827, recall: 0.5968, relative_absolute_error: 0.901, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5484, root_relative_squared_error: 1.1103, scimark_benchmark: 939.7809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.57, build_cpu_time: 0.2858, build_memory: 237620568.3556, f_measure: 0.5675, kappa: 0.1212, kb_relative_information_score: 30.8897, mean_absolute_error: 0.4397, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.583, predictive_accuracy: 0.5968, prior_entropy: 0.9827, recall: 0.5968, relative_absolute_error: 0.901, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5484, root_relative_squared_error: 1.1103, scimark_benchmark: 921.6517,

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