Task
Supervised Classification on pc3

Supervised Classification on pc3

Task 3903 Supervised Classification pc3 141525 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_7 study_98 study_99 under100k under1m
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141525 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.8526, kappa: 0.0327, kb_relative_information_score: -0.0962, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8415, predictive_accuracy: 0.8951, prior_entropy: 0.4765, recall: 0.8951, relative_absolute_error: 0.8687, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2846, root_relative_squared_error: 0.9389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, kb_relative_information_score: -0.1025, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.8971, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.9313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5055, f_measure: 0.8516, kappa: 0.0195, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8578, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, f_measure: 0.8522, kappa: 0.0313, kb_relative_information_score: -0.1068, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8388, predictive_accuracy: 0.8944, prior_entropy: 0.4765, recall: 0.8944, relative_absolute_error: 0.8732, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.8694, kappa: 0.2033, kb_relative_information_score: -0.0814, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8602, predictive_accuracy: 0.888, prior_entropy: 0.4765, recall: 0.888, relative_absolute_error: 0.7834, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.9464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.8694, kappa: 0.182, kb_relative_information_score: -0.2047, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8622, predictive_accuracy: 0.8938, prior_entropy: 0.4765, recall: 0.8938, relative_absolute_error: 0.8264, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.9416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5718, f_measure: 0.8567, kappa: 0.1662, kb_relative_information_score: 0.0445, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.848, predictive_accuracy: 0.8676, prior_entropy: 0.4765, recall: 0.8676, relative_absolute_error: 0.7191, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3639, root_relative_squared_error: 1.2005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7679, f_measure: 0.8748, kappa: 0.2469, kb_relative_information_score: 0.0014, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8669, predictive_accuracy: 0.89, prior_entropy: 0.4765, recall: 0.89, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3065, root_relative_squared_error: 1.0112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7679, f_measure: 0.8748, kappa: 0.2469, kb_relative_information_score: 0.0014, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8669, predictive_accuracy: 0.89, prior_entropy: 0.4765, recall: 0.89, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3065, root_relative_squared_error: 1.0112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.871, kappa: 0.1919, kb_relative_information_score: -0.0414, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8647, predictive_accuracy: 0.8951, prior_entropy: 0.4765, recall: 0.8951, relative_absolute_error: 0.7856, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.9341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7679, f_measure: 0.8748, kappa: 0.2469, kb_relative_information_score: 0.0014, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8669, predictive_accuracy: 0.89, prior_entropy: 0.4765, recall: 0.89, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3065, root_relative_squared_error: 1.0112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7679, f_measure: 0.8748, kappa: 0.2469, kb_relative_information_score: 0.0014, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8669, predictive_accuracy: 0.89, prior_entropy: 0.4765, recall: 0.89, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3065, root_relative_squared_error: 1.0112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.8636, kappa: 0.2708, kb_relative_information_score: -0.0075, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8661, predictive_accuracy: 0.8612, prior_entropy: 0.4765, recall: 0.8612, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3717, root_relative_squared_error: 1.2264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.765, f_measure: 0.8021, kappa: 0.2429, kb_relative_information_score: -0.7552, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.878, predictive_accuracy: 0.7607, prior_entropy: 0.4765, recall: 0.7607, relative_absolute_error: 1.3056, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4807, root_relative_squared_error: 1.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.8641, kappa: 0.1728, kb_relative_information_score: -0.148, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8532, predictive_accuracy: 0.8829, prior_entropy: 0.4765, recall: 0.8829, relative_absolute_error: 0.7621, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.9775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.8736, kappa: 0.2228, kb_relative_information_score: -0.1241, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8661, predictive_accuracy: 0.8932, prior_entropy: 0.4765, recall: 0.8932, relative_absolute_error: 0.7741, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.9227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7679, f_measure: 0.8748, kappa: 0.2469, kb_relative_information_score: 0.0014, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8669, predictive_accuracy: 0.89, prior_entropy: 0.4765, recall: 0.89, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3065, root_relative_squared_error: 1.0112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.765, f_measure: 0.8021, kappa: 0.2429, kb_relative_information_score: -0.7552, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.878, predictive_accuracy: 0.7607, prior_entropy: 0.4765, recall: 0.7607, relative_absolute_error: 1.3056, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4807, root_relative_squared_error: 1.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.8736, kappa: 0.2228, kb_relative_information_score: -0.1241, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8661, predictive_accuracy: 0.8932, prior_entropy: 0.4765, recall: 0.8932, relative_absolute_error: 0.7741, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.9227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.8641, kappa: 0.1728, kb_relative_information_score: -0.148, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8532, predictive_accuracy: 0.8829, prior_entropy: 0.4765, recall: 0.8829, relative_absolute_error: 0.7621, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.9775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.8636, kappa: 0.2708, kb_relative_information_score: -0.0075, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8661, predictive_accuracy: 0.8612, prior_entropy: 0.4765, recall: 0.8612, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3717, root_relative_squared_error: 1.2264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7134, kb_relative_information_score: -0.175, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.885, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2855, root_relative_squared_error: 0.9419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7134, kb_relative_information_score: -0.175, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.885, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2855, root_relative_squared_error: 0.9419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.8866, kappa: 0.287, kb_relative_information_score: -0.1135, mean_absolute_error: 0.1474, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8911, predictive_accuracy: 0.9085, prior_entropy: 0.4765, recall: 0.9085, relative_absolute_error: 0.8003, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2698, root_relative_squared_error: 0.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.8828, kappa: 0.2612, kb_relative_information_score: -0.1163, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8859, predictive_accuracy: 0.906, prior_entropy: 0.4765, recall: 0.906, relative_absolute_error: 0.7979, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 0.0014, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6052, f_measure: 0.8585, kappa: 0.1608, kb_relative_information_score: -0.0995, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.848, predictive_accuracy: 0.8727, prior_entropy: 0.4765, recall: 0.8727, relative_absolute_error: 0.8615, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3379, root_relative_squared_error: 1.1147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.8649, kappa: 0.1607, kb_relative_information_score: -0.1149, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8544, predictive_accuracy: 0.888, prior_entropy: 0.4765, recall: 0.888, relative_absolute_error: 0.8422, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5364, f_measure: 0.8657, kappa: 0.1217, kb_relative_information_score: 0.303, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8937, predictive_accuracy: 0.9034, prior_entropy: 0.4765, recall: 0.9034, relative_absolute_error: 0.5245, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3108, root_relative_squared_error: 1.0254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5368, f_measure: 0.8661, kappa: 0.1235, kb_relative_information_score: 0.3076, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8996, predictive_accuracy: 0.904, prior_entropy: 0.4765, recall: 0.904, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3098, root_relative_squared_error: 1.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, f_measure: 0.845, kappa: -0.0156, kb_relative_information_score: 0.2014, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.805, predictive_accuracy: 0.8893, prior_entropy: 0.4765, recall: 0.8893, relative_absolute_error: 0.601, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3327, root_relative_squared_error: 1.0975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4607, f_measure: 0.802, kappa: -0.0787, kb_relative_information_score: -0.4264, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8018, predictive_accuracy: 0.8023, prior_entropy: 0.4765, recall: 0.8023, relative_absolute_error: 1.0734, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4446, root_relative_squared_error: 1.4668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5368, f_measure: 0.8661, kappa: 0.1235, kb_relative_information_score: 0.3076, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8996, predictive_accuracy: 0.904, prior_entropy: 0.4765, recall: 0.904, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3098, root_relative_squared_error: 1.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4825, f_measure: 0.8333, kappa: -0.0504, kb_relative_information_score: 0.0352, mean_absolute_error: 0.1337, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8028, predictive_accuracy: 0.8663, prior_entropy: 0.4765, recall: 0.8663, relative_absolute_error: 0.726, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3657, root_relative_squared_error: 1.2063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5368, f_measure: 0.8661, kappa: 0.1235, kb_relative_information_score: 0.3076, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8996, predictive_accuracy: 0.904, prior_entropy: 0.4765, recall: 0.904, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3098, root_relative_squared_error: 1.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4657, f_measure: 0.8071, kappa: -0.0715, kb_relative_information_score: -0.3618, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.803, predictive_accuracy: 0.8113, prior_entropy: 0.4765, recall: 0.8113, relative_absolute_error: 1.0248, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4344, root_relative_squared_error: 1.4332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4541, f_measure: 0.7998, kappa: -0.0922, kb_relative_information_score: -0.4402, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.7993, predictive_accuracy: 0.8004, prior_entropy: 0.4765, recall: 0.8004, relative_absolute_error: 1.0838, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4468, root_relative_squared_error: 1.4739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4538, f_measure: 0.7995, kappa: -0.0927, kb_relative_information_score: -0.4449, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.7992, predictive_accuracy: 0.7997, prior_entropy: 0.4765, recall: 0.7997, relative_absolute_error: 1.0873, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4475, root_relative_squared_error: 1.4763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4538, f_measure: 0.7995, kappa: -0.0927, kb_relative_information_score: -0.4449, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.7992, predictive_accuracy: 0.7997, prior_entropy: 0.4765, recall: 0.7997, relative_absolute_error: 1.0873, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4475, root_relative_squared_error: 1.4763,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4534, f_measure: 0.7991, kappa: -0.0932, kb_relative_information_score: -0.4495, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.7991, predictive_accuracy: 0.7991, prior_entropy: 0.4765, recall: 0.7991, relative_absolute_error: 1.0908, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4482, root_relative_squared_error: 1.4786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4609, f_measure: 0.8067, kappa: -0.083, kb_relative_information_score: -0.3525, mean_absolute_error: 0.1875, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8009, predictive_accuracy: 0.8125, prior_entropy: 0.4765, recall: 0.8125, relative_absolute_error: 1.0178, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.433, root_relative_squared_error: 1.4283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4604, f_measure: 0.8017, kappa: -0.0792, kb_relative_information_score: -0.431, mean_absolute_error: 0.1983, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8017, predictive_accuracy: 0.8017, prior_entropy: 0.4765, recall: 0.8017, relative_absolute_error: 1.0769, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4453, root_relative_squared_error: 1.4692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2614, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, predictive_accuracy: 0.8976, prior_entropy: 0.4765, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4507, f_measure: 0.7985, kappa: -0.0992, kb_relative_information_score: -0.4495, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.798, predictive_accuracy: 0.7991, prior_entropy: 0.4765, recall: 0.7991, relative_absolute_error: 1.0908, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4482, root_relative_squared_error: 1.4786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5722, f_measure: 0.8682, kappa: 0.1916, kb_relative_information_score: 0.1922, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8586, predictive_accuracy: 0.888, prior_entropy: 0.4765, recall: 0.888, relative_absolute_error: 0.6079, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3346, root_relative_squared_error: 1.1038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5368, f_measure: 0.8661, kappa: 0.1235, kb_relative_information_score: 0.3076, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8996, predictive_accuracy: 0.904, prior_entropy: 0.4765, recall: 0.904, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3098, root_relative_squared_error: 1.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4609, f_measure: 0.8067, kappa: -0.083, kb_relative_information_score: -0.3525, mean_absolute_error: 0.1875, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8009, predictive_accuracy: 0.8125, prior_entropy: 0.4765, recall: 0.8125, relative_absolute_error: 1.0178, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.433, root_relative_squared_error: 1.4283,

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