Task
Supervised Classification on sick

Supervised Classification on sick

Task 3021 Supervised Classification sick 16378 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_98 study_99 under100k under1m
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16378 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9893, kappa: 0.9066, kb_relative_information_score: 0.8551, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9893, predictive_accuracy: 0.9894, prior_entropy: 0.3324, recall: 0.9894, relative_absolute_error: 0.1049, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0921, root_relative_squared_error: 0.3842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, f_measure: 0.9706, kappa: 0.7397, kb_relative_information_score: 0.6391, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9702, predictive_accuracy: 0.9711, prior_entropy: 0.3324, recall: 0.9711, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7504, f_measure: 0.9602, kappa: 0.6185, kb_relative_information_score: 0.5601, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9616, predictive_accuracy: 0.9645, prior_entropy: 0.3324, recall: 0.9645, relative_absolute_error: 0.3084, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.7861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9912, kappa: 0.9228, kb_relative_information_score: 0.8428, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9912, predictive_accuracy: 0.9913, prior_entropy: 0.3324, recall: 0.9913, relative_absolute_error: 0.1279, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.3661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9898, kappa: 0.9095, kb_relative_information_score: 0.7419, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9897, predictive_accuracy: 0.9899, prior_entropy: 0.3324, recall: 0.9899, relative_absolute_error: 0.2981, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.107, root_relative_squared_error: 0.4461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9779, kappa: 0.8033, kb_relative_information_score: 0.6155, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9777, predictive_accuracy: 0.9785, prior_entropy: 0.3324, recall: 0.9785, relative_absolute_error: 0.2566, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1289, root_relative_squared_error: 0.5377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.964, kappa: 0.6898, kb_relative_information_score: 0.5503, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9644, predictive_accuracy: 0.9637, prior_entropy: 0.3324, recall: 0.9637, relative_absolute_error: 0.3153, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.7948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9787, kappa: 0.8064, kb_relative_information_score: 0.4232, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9787, predictive_accuracy: 0.9796, prior_entropy: 0.3324, recall: 0.9796, relative_absolute_error: 0.3328, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1223, root_relative_squared_error: 0.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.9831, kappa: 0.853, kb_relative_information_score: 0.7899, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9831, predictive_accuracy: 0.983, prior_entropy: 0.3324, recall: 0.983, relative_absolute_error: 0.1473, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.5433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.9831, kappa: 0.853, kb_relative_information_score: 0.7899, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9831, predictive_accuracy: 0.983, prior_entropy: 0.3324, recall: 0.983, relative_absolute_error: 0.1473, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.5433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9863, kappa: 0.8792, kb_relative_information_score: 0.7535, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9862, predictive_accuracy: 0.9865, prior_entropy: 0.3324, recall: 0.9865, relative_absolute_error: 0.1762, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1006, root_relative_squared_error: 0.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.9831, kappa: 0.853, kb_relative_information_score: 0.7899, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9831, predictive_accuracy: 0.983, prior_entropy: 0.3324, recall: 0.983, relative_absolute_error: 0.1473, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.5433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.9831, kappa: 0.853, kb_relative_information_score: 0.7899, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9831, predictive_accuracy: 0.983, prior_entropy: 0.3324, recall: 0.983, relative_absolute_error: 0.1473, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.5433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.9831, kappa: 0.8536, kb_relative_information_score: 0.7899, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9832, predictive_accuracy: 0.983, prior_entropy: 0.3324, recall: 0.983, relative_absolute_error: 0.1473, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.5433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.8851, kappa: 0.3004, kb_relative_information_score: -1.0983, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9311, predictive_accuracy: 0.8566, prior_entropy: 0.3324, recall: 0.8566, relative_absolute_error: 1.2654, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.3213, root_relative_squared_error: 1.3399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.9668, kappa: 0.6889, kb_relative_information_score: 0.4219, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9674, predictive_accuracy: 0.9695, prior_entropy: 0.3324, recall: 0.9695, relative_absolute_error: 0.3683, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.6419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9613, kappa: 0.6262, kb_relative_information_score: 0.1726, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9638, predictive_accuracy: 0.9658, prior_entropy: 0.3324, recall: 0.9658, relative_absolute_error: 0.4797, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.6653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.9831, kappa: 0.853, kb_relative_information_score: 0.7899, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9831, predictive_accuracy: 0.983, prior_entropy: 0.3324, recall: 0.983, relative_absolute_error: 0.1473, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.5433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.9831, kappa: 0.8536, kb_relative_information_score: 0.7899, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9832, predictive_accuracy: 0.983, prior_entropy: 0.3324, recall: 0.983, relative_absolute_error: 0.1473, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.5433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.9831, kappa: 0.853, kb_relative_information_score: 0.7899, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9831, predictive_accuracy: 0.983, prior_entropy: 0.3324, recall: 0.983, relative_absolute_error: 0.1473, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.5433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9613, kappa: 0.6262, kb_relative_information_score: 0.1726, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9638, predictive_accuracy: 0.9658, prior_entropy: 0.3324, recall: 0.9658, relative_absolute_error: 0.4797, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.6653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.8851, kappa: 0.3004, kb_relative_information_score: -1.0983, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9311, predictive_accuracy: 0.8566, prior_entropy: 0.3324, recall: 0.8566, relative_absolute_error: 1.2654, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.3213, root_relative_squared_error: 1.3399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.9668, kappa: 0.6889, kb_relative_information_score: 0.4219, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9674, predictive_accuracy: 0.9695, prior_entropy: 0.3324, recall: 0.9695, relative_absolute_error: 0.3683, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.6419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9904, kappa: 0.9163, kb_relative_information_score: 0.8386, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9904, predictive_accuracy: 0.9905, prior_entropy: 0.3324, recall: 0.9905, relative_absolute_error: 0.1307, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.089, root_relative_squared_error: 0.3714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.968, kappa: 0.7153, kb_relative_information_score: 0.6135, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9675, predictive_accuracy: 0.9687, prior_entropy: 0.3324, recall: 0.9687, relative_absolute_error: 0.2704, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.175, root_relative_squared_error: 0.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9915, kappa: 0.9256, kb_relative_information_score: 0.8656, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9915, predictive_accuracy: 0.9915, prior_entropy: 0.3324, recall: 0.9915, relative_absolute_error: 0.0925, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.3543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9909, kappa: 0.9206, kb_relative_information_score: 0.8774, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9909, predictive_accuracy: 0.991, prior_entropy: 0.3324, recall: 0.991, relative_absolute_error: 0.085, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0884, root_relative_squared_error: 0.3689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.9679, kappa: 0.742, kb_relative_information_score: 0.4961, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9725, predictive_accuracy: 0.9655, prior_entropy: 0.3324, recall: 0.9655, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.6617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.9679, kappa: 0.742, kb_relative_information_score: 0.4961, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9725, predictive_accuracy: 0.9655, prior_entropy: 0.3324, recall: 0.9655, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.6617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9833, kappa: 0.8506, kb_relative_information_score: 0.6567, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9833, predictive_accuracy: 0.9838, prior_entropy: 0.3324, recall: 0.9838, relative_absolute_error: 0.2726, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1048, root_relative_squared_error: 0.4369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9815, kappa: 0.8323, kb_relative_information_score: 0.6551, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9816, predictive_accuracy: 0.9822, prior_entropy: 0.3324, recall: 0.9822, relative_absolute_error: 0.2913, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1116, root_relative_squared_error: 0.4652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.9867, kappa: 0.882, kb_relative_information_score: 0.7952, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9867, predictive_accuracy: 0.987, prior_entropy: 0.3324, recall: 0.987, relative_absolute_error: 0.1643, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.4558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9856, kappa: 0.874, kb_relative_information_score: 0.8024, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9855, predictive_accuracy: 0.9857, prior_entropy: 0.3324, recall: 0.9857, relative_absolute_error: 0.151, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.4715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9885, kappa: 0.899, kb_relative_information_score: 0.824, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9884, predictive_accuracy: 0.9886, prior_entropy: 0.3324, recall: 0.9886, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0947, root_relative_squared_error: 0.3949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.9687, kappa: 0.719, kb_relative_information_score: 0.6258, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9682, predictive_accuracy: 0.9698, prior_entropy: 0.3324, recall: 0.9698, relative_absolute_error: 0.2624, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.7251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2417, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, recall: 0.9388, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.9687, kappa: 0.714, kb_relative_information_score: 0.6323, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9684, predictive_accuracy: 0.9703, prior_entropy: 0.3324, recall: 0.9703, relative_absolute_error: 0.2578, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.7187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2417, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, recall: 0.9388, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6831, f_measure: 0.6937, kappa: 0.0934, kb_relative_information_score: -4.0621, mean_absolute_error: 0.4088, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9235, predictive_accuracy: 0.5912, prior_entropy: 0.3324, recall: 0.5912, relative_absolute_error: 3.5491, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.6394, root_relative_squared_error: 2.6666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.9583, kappa: 0.5972, kb_relative_information_score: 0.5437, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9601, predictive_accuracy: 0.9631, prior_entropy: 0.3324, recall: 0.9631, relative_absolute_error: 0.3199, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.192, root_relative_squared_error: 0.8006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7281, f_measure: 0.774, kappa: 0.1466, kb_relative_information_score: -2.7818, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.927, predictive_accuracy: 0.6946, prior_entropy: 0.3324, recall: 0.6946, relative_absolute_error: 2.6515, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.5526, root_relative_squared_error: 2.3049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.9676, kappa: 0.6939, kb_relative_information_score: 0.6356, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.969, predictive_accuracy: 0.9706, prior_entropy: 0.3324, recall: 0.9706, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7702, f_measure: 0.9031, kappa: 0.3486, kb_relative_information_score: -0.4379, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9329, predictive_accuracy: 0.8839, prior_entropy: 0.3324, recall: 0.8839, relative_absolute_error: 1.0081, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.3408, root_relative_squared_error: 1.4212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7755, f_measure: 0.9361, kappa: 0.4819, kb_relative_information_score: 0.1563, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9416, predictive_accuracy: 0.9319, prior_entropy: 0.3324, recall: 0.9319, relative_absolute_error: 0.5915, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.261, root_relative_squared_error: 1.0886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.9676, kappa: 0.6939, kb_relative_information_score: 0.6356, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.969, predictive_accuracy: 0.9706, prior_entropy: 0.3324, recall: 0.9706, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.9676, kappa: 0.6939, kb_relative_information_score: 0.6356, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.969, predictive_accuracy: 0.9706, prior_entropy: 0.3324, recall: 0.9706, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.7154,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.9676, kappa: 0.6939, kb_relative_information_score: 0.6356, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.969, predictive_accuracy: 0.9706, prior_entropy: 0.3324, recall: 0.9706, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.7154,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.9676, kappa: 0.6939, kb_relative_information_score: 0.6356, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.969, predictive_accuracy: 0.9706, prior_entropy: 0.3324, recall: 0.9706, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.7154,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.9676, kappa: 0.6939, kb_relative_information_score: 0.6356, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.969, predictive_accuracy: 0.9706, prior_entropy: 0.3324, recall: 0.9706, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.9676, kappa: 0.6939, kb_relative_information_score: 0.6356, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.969, predictive_accuracy: 0.9706, prior_entropy: 0.3324, recall: 0.9706, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.9676, kappa: 0.6939, kb_relative_information_score: 0.6356, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.969, predictive_accuracy: 0.9706, prior_entropy: 0.3324, recall: 0.9706, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.9676, kappa: 0.6939, kb_relative_information_score: 0.6356, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.969, predictive_accuracy: 0.9706, prior_entropy: 0.3324, recall: 0.9706, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9914, kappa: 0.925, kb_relative_information_score: 0.8901, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9914, predictive_accuracy: 0.9915, prior_entropy: 0.3324, recall: 0.9915, relative_absolute_error: 0.0778, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.3647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.9517, kappa: 0.5661, kb_relative_information_score: 0.2466, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9505, predictive_accuracy: 0.9533, prior_entropy: 0.3324, recall: 0.9533, relative_absolute_error: 0.5364, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.176, root_relative_squared_error: 0.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9899, kappa: 0.9113, kb_relative_information_score: 0.8737, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9898, predictive_accuracy: 0.9899, prior_entropy: 0.3324, recall: 0.9899, relative_absolute_error: 0.0881, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0923, root_relative_squared_error: 0.3851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9891, kappa: 0.9045, kb_relative_information_score: 0.8655, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.989, predictive_accuracy: 0.9891, prior_entropy: 0.3324, recall: 0.9891, relative_absolute_error: 0.0981, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0939, root_relative_squared_error: 0.3917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2417, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, recall: 0.9388, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2417, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, recall: 0.9388, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9563, kappa: 0.6089, kb_relative_information_score: 0.3651, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9554, predictive_accuracy: 0.9576, prior_entropy: 0.3324, recall: 0.9576, relative_absolute_error: 0.4389, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.7285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9894, kappa: 0.907, kb_relative_information_score: 0.8457, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9893, predictive_accuracy: 0.9894, prior_entropy: 0.3324, recall: 0.9894, relative_absolute_error: 0.1069, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0945, root_relative_squared_error: 0.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9867, kappa: 0.8833, kb_relative_information_score: 0.8301, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9866, predictive_accuracy: 0.9867, prior_entropy: 0.3324, recall: 0.9867, relative_absolute_error: 0.1215, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0998, root_relative_squared_error: 0.4161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9901, kappa: 0.9138, kb_relative_information_score: 0.8852, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9901, predictive_accuracy: 0.9902, prior_entropy: 0.3324, recall: 0.9902, relative_absolute_error: 0.0817, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.3706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9891, kappa: 0.9049, kb_relative_information_score: 0.8618, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.3324, recall: 0.9891, relative_absolute_error: 0.0969, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.3977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9533, kappa: 0.5888, kb_relative_information_score: 0.4005, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9528, predictive_accuracy: 0.9539, prior_entropy: 0.3324, recall: 0.9539, relative_absolute_error: 0.4226, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.8018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9746, kappa: 0.7732, kb_relative_information_score: 0.6054, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9743, predictive_accuracy: 0.9753, prior_entropy: 0.3324, recall: 0.9753, relative_absolute_error: 0.3028, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.5319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9895, kappa: 0.908, kb_relative_information_score: 0.8399, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9895, predictive_accuracy: 0.9897, prior_entropy: 0.3324, recall: 0.9897, relative_absolute_error: 0.1136, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0885, root_relative_squared_error: 0.3691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.9063, kappa: 0.0003, kb_relative_information_score: 0.1498, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8851, predictive_accuracy: 0.9313, prior_entropy: 0.3324, recall: 0.9313, relative_absolute_error: 0.5961, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.262, root_relative_squared_error: 1.0929,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5888, f_measure: 0.9172, kappa: 0.1352, kb_relative_information_score: 0.1124, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9114, predictive_accuracy: 0.9364, prior_entropy: 0.3324, recall: 0.9364, relative_absolute_error: 0.5922, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.9939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9853, kappa: 0.8714, kb_relative_information_score: 0.8148, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9852, predictive_accuracy: 0.9854, prior_entropy: 0.3324, recall: 0.9854, relative_absolute_error: 0.1357, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.4747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9786, kappa: 0.8098, kb_relative_information_score: 0.7263, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9784, predictive_accuracy: 0.9791, prior_entropy: 0.3324, recall: 0.9791, relative_absolute_error: 0.19, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.134, root_relative_squared_error: 0.5587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, kb_relative_information_score: -0.0541, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, recall: 0.9388, relative_absolute_error: 0.9503, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.9859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9731, kappa: 0.7584, kb_relative_information_score: 0.5829, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9728, predictive_accuracy: 0.974, prior_entropy: 0.3324, recall: 0.974, relative_absolute_error: 0.3095, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1322, root_relative_squared_error: 0.5514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9898, kappa: 0.9109, kb_relative_information_score: 0.8661, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9898, predictive_accuracy: 0.9899, prior_entropy: 0.3324, recall: 0.9899, relative_absolute_error: 0.0938, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0946, root_relative_squared_error: 0.3947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9882, kappa: 0.8965, kb_relative_information_score: 0.7921, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9882, predictive_accuracy: 0.9883, prior_entropy: 0.3324, recall: 0.9883, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0941, root_relative_squared_error: 0.3926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9765, kappa: 0.7855, kb_relative_information_score: 0.5548, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9767, predictive_accuracy: 0.9777, prior_entropy: 0.3324, recall: 0.9777, relative_absolute_error: 0.407, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1312, root_relative_squared_error: 0.5472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9794, kappa: 0.8192, kb_relative_information_score: 0.7294, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9792, predictive_accuracy: 0.9796, prior_entropy: 0.3324, recall: 0.9796, relative_absolute_error: 0.1832, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.5493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9738, kappa: 0.7643, kb_relative_information_score: 0.5594, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9736, predictive_accuracy: 0.9748, prior_entropy: 0.3324, recall: 0.9748, relative_absolute_error: 0.2971, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.5676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.9129, kappa: 0.0831, kb_relative_information_score: -0.1204, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9032, predictive_accuracy: 0.9343, prior_entropy: 0.3324, recall: 0.9343, relative_absolute_error: 0.6858, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2385, root_relative_squared_error: 0.9949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9882, kappa: 0.8969, kb_relative_information_score: 0.8549, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9882, predictive_accuracy: 0.9883, prior_entropy: 0.3324, recall: 0.9883, relative_absolute_error: 0.1037, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0951, root_relative_squared_error: 0.3967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9533, kappa: 0.5888, kb_relative_information_score: 0.3343, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9528, predictive_accuracy: 0.9539, prior_entropy: 0.3324, recall: 0.9539, relative_absolute_error: 0.4669, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.7285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9888, kappa: 0.9012, kb_relative_information_score: 0.8618, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9887, predictive_accuracy: 0.9889, prior_entropy: 0.3324, recall: 0.9889, relative_absolute_error: 0.0957, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9794, kappa: 0.8199, kb_relative_information_score: 0.722, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9793, predictive_accuracy: 0.9796, prior_entropy: 0.3324, recall: 0.9796, relative_absolute_error: 0.1848, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1359, root_relative_squared_error: 0.5669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9878, kappa: 0.8921, kb_relative_information_score: 0.8166, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9878, predictive_accuracy: 0.9881, prior_entropy: 0.3324, recall: 0.9881, relative_absolute_error: 0.1372, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0956, root_relative_squared_error: 0.3986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9858, kappa: 0.875, kb_relative_information_score: 0.7114, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9857, predictive_accuracy: 0.9859, prior_entropy: 0.3324, recall: 0.9859, relative_absolute_error: 0.2257, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1024, root_relative_squared_error: 0.4271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2417, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, recall: 0.9388, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9901, kappa: 0.9135, kb_relative_information_score: 0.8416, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9901, predictive_accuracy: 0.9902, prior_entropy: 0.3324, recall: 0.9902, relative_absolute_error: 0.1116, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0873, root_relative_squared_error: 0.3642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9777, kappa: 0.799, kb_relative_information_score: 0.6823, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9776, predictive_accuracy: 0.9785, prior_entropy: 0.3324, recall: 0.9785, relative_absolute_error: 0.2226, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.5493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9509, kappa: 0.5597, kb_relative_information_score: 0.2634, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9497, predictive_accuracy: 0.9525, prior_entropy: 0.3324, recall: 0.9525, relative_absolute_error: 0.5263, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.7276,

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

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

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

OpenML APIs