Task
Supervised Classification on diggle_table_a1

Supervised Classification on diggle_table_a1

Task 3682 Supervised Classification diggle_table_a1 526 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4739, f_measure: 0.4794, kappa: -0.0417, kb_relative_information_score: -0.7372, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.48, predictive_accuracy: 0.4792, prior_entropy: 0.9988, recall: 0.4792, relative_absolute_error: 1.0082, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5874, root_relative_squared_error: 1.1758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.7293, kappa: 0.4583, kb_relative_information_score: 11.467, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.73, predictive_accuracy: 0.7292, prior_entropy: 0.9988, recall: 0.7292, relative_absolute_error: 0.7973, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6617, f_measure: 0.6871, kappa: 0.3772, kb_relative_information_score: 10.8197, mean_absolute_error: 0.4002, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.6921, predictive_accuracy: 0.6875, prior_entropy: 0.9988, recall: 0.6875, relative_absolute_error: 0.8017, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.6036, kappa: 0.2056, kb_relative_information_score: 9.1705, mean_absolute_error: 0.4109, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.6037, predictive_accuracy: 0.6042, prior_entropy: 0.9988, recall: 0.6042, relative_absolute_error: 0.8232, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.475, root_relative_squared_error: 0.9508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7217, f_measure: 0.6871, kappa: 0.3772, kb_relative_information_score: 11.988, mean_absolute_error: 0.3884, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.6921, predictive_accuracy: 0.6875, prior_entropy: 0.9988, recall: 0.6875, relative_absolute_error: 0.7781, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6678, f_measure: 0.6876, kappa: 0.375, kb_relative_information_score: 11.5175, mean_absolute_error: 0.3925, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.6884, predictive_accuracy: 0.6875, prior_entropy: 0.9988, recall: 0.6875, relative_absolute_error: 0.7862, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.647, f_measure: 0.6036, kappa: 0.2056, kb_relative_information_score: 10.2879, mean_absolute_error: 0.3953, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.6037, predictive_accuracy: 0.6042, prior_entropy: 0.9988, recall: 0.6042, relative_absolute_error: 0.7918, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5548, root_relative_squared_error: 1.1106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, f_measure: 0.7083, kappa: 0.4177, kb_relative_information_score: 12.7484, mean_absolute_error: 0.3758, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.7108, predictive_accuracy: 0.7083, prior_entropy: 0.9988, recall: 0.7083, relative_absolute_error: 0.7529, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5051, root_relative_squared_error: 1.0112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6278, f_measure: 0.5558, kappa: 0.134, kb_relative_information_score: 6.8312, mean_absolute_error: 0.4357, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.5738, predictive_accuracy: 0.5625, prior_entropy: 0.9988, recall: 0.5625, relative_absolute_error: 0.8729, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4782, root_relative_squared_error: 0.9573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7165, f_measure: 0.6871, kappa: 0.3772, kb_relative_information_score: 16.0313, mean_absolute_error: 0.3361, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.6921, predictive_accuracy: 0.6875, prior_entropy: 0.9988, recall: 0.6875, relative_absolute_error: 0.6733, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6122, f_measure: 0.6596, kappa: 0.3413, kb_relative_information_score: 6.1425, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.692, predictive_accuracy: 0.6667, prior_entropy: 0.9988, recall: 0.6667, relative_absolute_error: 0.8924, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4777, root_relative_squared_error: 0.9562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6122, f_measure: 0.6596, kappa: 0.3413, kb_relative_information_score: 6.1425, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.692, predictive_accuracy: 0.6667, prior_entropy: 0.9988, recall: 0.6667, relative_absolute_error: 0.8924, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4777, root_relative_squared_error: 0.9562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.7293, kappa: 0.4583, kb_relative_information_score: 13.9587, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.73, predictive_accuracy: 0.7292, prior_entropy: 0.9988, recall: 0.7292, relative_absolute_error: 0.7418, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7513, f_measure: 0.7274, kappa: 0.4621, kb_relative_information_score: 15.1766, mean_absolute_error: 0.3521, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.7418, predictive_accuracy: 0.7292, prior_entropy: 0.9988, recall: 0.7292, relative_absolute_error: 0.7053, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4653, root_relative_squared_error: 0.9313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7261, f_measure: 0.6871, kappa: 0.3772, kb_relative_information_score: 12.1229, mean_absolute_error: 0.3798, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.6921, predictive_accuracy: 0.6875, prior_entropy: 0.9988, recall: 0.6875, relative_absolute_error: 0.7609, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4674, root_relative_squared_error: 0.9356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6504, f_measure: 0.6036, kappa: 0.2056, kb_relative_information_score: 3.7327, mean_absolute_error: 0.4671, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.6037, predictive_accuracy: 0.6042, prior_entropy: 0.9988, recall: 0.6042, relative_absolute_error: 0.9358, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.407, f_measure: 0.3567, kb_relative_information_score: -0.2422, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.2713, predictive_accuracy: 0.5208, prior_entropy: 0.9988, recall: 0.5208, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.6871, kappa: 0.3772, kb_relative_information_score: 12.3557, mean_absolute_error: 0.3844, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.6921, predictive_accuracy: 0.6875, prior_entropy: 0.9988, recall: 0.6875, relative_absolute_error: 0.7701, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.489, root_relative_squared_error: 0.9788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.5596, kappa: 0.131, kb_relative_information_score: 6.7974, mean_absolute_error: 0.4281, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.5692, predictive_accuracy: 0.5625, prior_entropy: 0.9988, recall: 0.5625, relative_absolute_error: 0.8576, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.5596, kappa: 0.131, kb_relative_information_score: 6.7974, mean_absolute_error: 0.4281, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.5692, predictive_accuracy: 0.5625, prior_entropy: 0.9988, recall: 0.5625, relative_absolute_error: 0.8576, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.54, f_measure: 0.6632, kappa: 0.3391, kb_relative_information_score: 6.9112, mean_absolute_error: 0.4393, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.6812, predictive_accuracy: 0.6667, prior_entropy: 0.9988, recall: 0.6667, relative_absolute_error: 0.8801, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5518, root_relative_squared_error: 1.1046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5826, f_measure: 0.5833, kappa: 0.1652, kb_relative_information_score: 7.9029, mean_absolute_error: 0.4167, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.5833, predictive_accuracy: 0.5833, prior_entropy: 0.9988, recall: 0.5833, relative_absolute_error: 0.8347, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6455, root_relative_squared_error: 1.2921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.54, f_measure: 0.6632, kappa: 0.3391, kb_relative_information_score: 6.9112, mean_absolute_error: 0.4393, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.6812, predictive_accuracy: 0.6667, prior_entropy: 0.9988, recall: 0.6667, relative_absolute_error: 0.8801, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5518, root_relative_squared_error: 1.1046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.6871, kappa: 0.3772, kb_relative_information_score: 11.8191, mean_absolute_error: 0.3905, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.6921, predictive_accuracy: 0.6875, prior_entropy: 0.9988, recall: 0.6875, relative_absolute_error: 0.7824, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6748, f_measure: 0.6667, kappa: 0.3345, kb_relative_information_score: 11.1484, mean_absolute_error: 0.3951, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.669, predictive_accuracy: 0.6667, prior_entropy: 0.9988, recall: 0.6667, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4873, root_relative_squared_error: 0.9755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.727, f_measure: 0.6871, kappa: 0.3772, kb_relative_information_score: 12.2856, mean_absolute_error: 0.3856, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.6921, predictive_accuracy: 0.6875, prior_entropy: 0.9988, recall: 0.6875, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6878, f_measure: 0.646, kappa: 0.2917, kb_relative_information_score: 11.0381, mean_absolute_error: 0.3913, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.6467, predictive_accuracy: 0.6458, prior_entropy: 0.9988, recall: 0.6458, relative_absolute_error: 0.7838, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.491, root_relative_squared_error: 0.9828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7148, f_measure: 0.7293, kappa: 0.4583, kb_relative_information_score: 12.0715, mean_absolute_error: 0.391, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.73, predictive_accuracy: 0.7292, prior_entropy: 0.9988, recall: 0.7292, relative_absolute_error: 0.7832, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5826, f_measure: 0.5833, kappa: 0.1652, kb_relative_information_score: 7.9029, mean_absolute_error: 0.4167, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.5833, predictive_accuracy: 0.5833, prior_entropy: 0.9988, recall: 0.5833, relative_absolute_error: 0.8347, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6455, root_relative_squared_error: 1.2921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4922, f_measure: 0.5, kappa: -0.0017, kb_relative_information_score: -0.3674, mean_absolute_error: 0.501, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 0.9988, recall: 0.5, relative_absolute_error: 1.0037, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5626, root_relative_squared_error: 1.1261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7113, f_measure: 0.7073, kappa: 0.4197, kb_relative_information_score: 19.9306, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.7163, predictive_accuracy: 0.7083, prior_entropy: 0.9988, recall: 0.7083, relative_absolute_error: 0.5843, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5401, root_relative_squared_error: 1.0811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.727, f_measure: 0.6871, kappa: 0.3772, kb_relative_information_score: 12.2856, mean_absolute_error: 0.3856, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.6921, predictive_accuracy: 0.6875, prior_entropy: 0.9988, recall: 0.6875, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5757, f_measure: 0.525, kappa: 0.0688, kb_relative_information_score: 2.505, mean_absolute_error: 0.4772, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.5396, predictive_accuracy: 0.5417, prior_entropy: 0.9988, recall: 0.5417, relative_absolute_error: 0.956, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4894, root_relative_squared_error: 0.9796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6443, f_measure: 0.5627, kappa: 0.125, kb_relative_information_score: 7.6532, mean_absolute_error: 0.4229, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.5634, predictive_accuracy: 0.5625, prior_entropy: 0.9988, recall: 0.5625, relative_absolute_error: 0.8472, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5222, root_relative_squared_error: 1.0453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6878, f_measure: 0.6876, kappa: 0.375, kb_relative_information_score: 17.926, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.6884, predictive_accuracy: 0.6875, prior_entropy: 0.9988, recall: 0.6875, relative_absolute_error: 0.626, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.559, root_relative_squared_error: 1.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3567, kb_relative_information_score: 1.889, mean_absolute_error: 0.4792, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.2713, predictive_accuracy: 0.5208, prior_entropy: 0.9988, recall: 0.5208, relative_absolute_error: 0.9599, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6922, root_relative_squared_error: 1.3856, scimark_benchmark: 1959.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5026, f_measure: 0.4983, kappa: 0.0052, kb_relative_information_score: -0.1156, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.5035, predictive_accuracy: 0.5, prior_entropy: 0.9988, recall: 0.5, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4154, scimark_benchmark: 1631.1992, usercpu_time_millis: 208906.25, usercpu_time_millis_training: 208906.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5591, f_measure: 0.5596, kappa: 0.1189, kb_relative_information_score: 5.8983, mean_absolute_error: 0.4375, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.5612, predictive_accuracy: 0.5625, prior_entropy: 0.9988, recall: 0.5625, relative_absolute_error: 0.8765, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6614, root_relative_squared_error: 1.324, scimark_benchmark: 1862.8608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3567, kb_relative_information_score: 1.889, mean_absolute_error: 0.4792, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.2713, predictive_accuracy: 0.5208, prior_entropy: 0.9988, recall: 0.5208, relative_absolute_error: 0.9599, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6922, root_relative_squared_error: 1.3856, scimark_benchmark: 1616.394, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5591, f_measure: 0.5596, kappa: 0.1189, kb_relative_information_score: 5.8983, mean_absolute_error: 0.4375, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.5612, predictive_accuracy: 0.5625, prior_entropy: 0.9988, recall: 0.5625, relative_absolute_error: 0.8765, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6614, root_relative_squared_error: 1.324, scimark_benchmark: 1371.8216, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5026, f_measure: 0.4983, kappa: 0.0052, kb_relative_information_score: -0.1156, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.5035, predictive_accuracy: 0.5, prior_entropy: 0.9988, recall: 0.5, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4154, scimark_benchmark: 1385.229, usercpu_time_millis: 2450, usercpu_time_millis_training: 2450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.75, kappa: 0.5009, kb_relative_information_score: 17.11, mean_absolute_error: 0.3367, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.7526, predictive_accuracy: 0.75, prior_entropy: 0.9988, recall: 0.75, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4673, root_relative_squared_error: 0.9353, scimark_benchmark: 1908.2191, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.8113, kappa: 0.6224, kb_relative_information_score: 25.9141, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.8165, predictive_accuracy: 0.8125, prior_entropy: 0.9988, recall: 0.8125, relative_absolute_error: 0.4742, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.8923, scimark_benchmark: 1908.2191, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6696, f_measure: 0.6655, kappa: 0.3368, kb_relative_information_score: 15.9214, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.6737, predictive_accuracy: 0.6667, prior_entropy: 0.9988, recall: 0.6667, relative_absolute_error: 0.6678, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.1557, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7113, f_measure: 0.7073, kappa: 0.4197, kb_relative_information_score: 19.9306, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.7163, predictive_accuracy: 0.7083, prior_entropy: 0.9988, recall: 0.7083, relative_absolute_error: 0.5843, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5401, root_relative_squared_error: 1.0811, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4774, f_measure: 0.4646, kappa: -0.0274, kb_relative_information_score: -0.0868, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.485, predictive_accuracy: 0.4792, prior_entropy: 0.9988, recall: 0.4792, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.531, root_relative_squared_error: 1.0628, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5783, f_measure: 0.6548, kappa: 0.3436, kb_relative_information_score: 8.8442, mean_absolute_error: 0.4156, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.7071, predictive_accuracy: 0.6667, prior_entropy: 0.9988, recall: 0.6667, relative_absolute_error: 0.8325, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9478, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6339, f_measure: 0.6435, kappa: 0.2966, kb_relative_information_score: 4.7376, mean_absolute_error: 0.4597, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.6555, predictive_accuracy: 0.6458, prior_entropy: 0.9988, recall: 0.6458, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9934, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7217, f_measure: 0.6871, kappa: 0.3772, kb_relative_information_score: 11.988, mean_absolute_error: 0.3884, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.6921, predictive_accuracy: 0.6875, prior_entropy: 0.9988, recall: 0.6875, relative_absolute_error: 0.7781, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9481, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4304, f_measure: 0.4583, kappa: -0.0852, kb_relative_information_score: -2.3652, mean_absolute_error: 0.5208, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.4583, predictive_accuracy: 0.4583, prior_entropy: 0.9988, recall: 0.4583, relative_absolute_error: 1.0433, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5461, root_relative_squared_error: 1.0931, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.54, f_measure: 0.6632, kappa: 0.3391, kb_relative_information_score: 6.9112, mean_absolute_error: 0.4393, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.6812, predictive_accuracy: 0.6667, prior_entropy: 0.9988, recall: 0.6667, relative_absolute_error: 0.8801, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5518, root_relative_squared_error: 1.1046, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6122, f_measure: 0.5417, kappa: 0.0849, kb_relative_information_score: 5.3427, mean_absolute_error: 0.4436, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.5436, predictive_accuracy: 0.5417, prior_entropy: 0.9988, recall: 0.5417, relative_absolute_error: 0.8887, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.541, root_relative_squared_error: 1.083, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6878, f_measure: 0.646, kappa: 0.2917, kb_relative_information_score: 11.0381, mean_absolute_error: 0.3913, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.6467, predictive_accuracy: 0.6458, prior_entropy: 0.9988, recall: 0.6458, relative_absolute_error: 0.7838, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.491, root_relative_squared_error: 0.9828, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5852, f_measure: 0.5135, kappa: 0.0515, kb_relative_information_score: 5.3059, mean_absolute_error: 0.4435, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.5289, predictive_accuracy: 0.5208, prior_entropy: 0.9988, recall: 0.5208, relative_absolute_error: 0.8884, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5835, root_relative_squared_error: 1.168, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.627, f_measure: 0.6435, kappa: 0.2966, kb_relative_information_score: 13.4623, mean_absolute_error: 0.3606, mean_prior_absolute_error: 0.4992, number_of_instances: 48, precision: 0.6555, predictive_accuracy: 0.6458, prior_entropy: 0.9988, recall: 0.6458, relative_absolute_error: 0.7225, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5822, root_relative_squared_error: 1.1655, scimark_benchmark: 1838.8826,

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

OpenML bootcamp

From your own software

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

OpenML APIs