Task
Supervised Classification on spambase

Supervised Classification on spambase

Task 43 Supervised Classification spambase 101236 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_70 study_98 study_99 under100k under1m
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101236 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8074, kappa: 0.5935, kb_relative_information_score: 0.3952, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4776, weighted_recall: 0.819, number_of_instances: 4601, precision: 0.8432, predictive_accuracy: 0.819, prior_entropy: 0.9674, relative_absolute_error: 0.6494, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7418, unweighted_recall: 0.7767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.935, kappa: 0.8634, kb_relative_information_score: 0.7697, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9352, number_of_instances: 4601, precision: 0.9352, predictive_accuracy: 0.9352, prior_entropy: 0.9674, relative_absolute_error: 0.251, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.4782, unweighted_recall: 0.9287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9266, kappa: 0.8462, kb_relative_information_score: 0.7735, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9268, number_of_instances: 4601, precision: 0.9266, predictive_accuracy: 0.9268, prior_entropy: 0.9674, relative_absolute_error: 0.2413, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.4957, unweighted_recall: 0.9218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9278, kappa: 0.8484, kb_relative_information_score: 0.7667, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9281, number_of_instances: 4601, precision: 0.928, predictive_accuracy: 0.9281, prior_entropy: 0.9674, relative_absolute_error: 0.2494, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2416, root_relative_squared_error: 0.4944, unweighted_recall: 0.9214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9224, kappa: 0.8368, kb_relative_information_score: 0.7254, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9228, number_of_instances: 4601, precision: 0.9229, predictive_accuracy: 0.9228, prior_entropy: 0.9674, relative_absolute_error: 0.2981, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.5163, unweighted_recall: 0.9143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9258, kappa: 0.8441, kb_relative_information_score: 0.7524, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9261, number_of_instances: 4601, precision: 0.926, predictive_accuracy: 0.9261, prior_entropy: 0.9674, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5011, unweighted_recall: 0.9191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9278, kappa: 0.8484, kb_relative_information_score: 0.7667, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9281, number_of_instances: 4601, precision: 0.928, predictive_accuracy: 0.9281, prior_entropy: 0.9674, relative_absolute_error: 0.2494, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2416, root_relative_squared_error: 0.4944, unweighted_recall: 0.9214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9266, kappa: 0.8462, kb_relative_information_score: 0.7735, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9268, number_of_instances: 4601, precision: 0.9266, predictive_accuracy: 0.9268, prior_entropy: 0.9674, relative_absolute_error: 0.2413, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.4957, unweighted_recall: 0.9218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9297, kappa: 0.8524, kb_relative_information_score: 0.7635, mean_absolute_error: 0.1211, mean_prior_absolute_error: 0.4776, weighted_recall: 0.93, number_of_instances: 4601, precision: 0.93, predictive_accuracy: 0.93, prior_entropy: 0.9674, relative_absolute_error: 0.2536, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2419, root_relative_squared_error: 0.495, unweighted_recall: 0.9231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9272, kappa: 0.847, kb_relative_information_score: 0.766, mean_absolute_error: 0.1195, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9274, number_of_instances: 4601, precision: 0.9273, predictive_accuracy: 0.9274, prior_entropy: 0.9674, relative_absolute_error: 0.2503, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2417, root_relative_squared_error: 0.4947, unweighted_recall: 0.9207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.9124, kappa: 0.8156, kb_relative_information_score: 0.6473, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9131, number_of_instances: 4601, precision: 0.9134, predictive_accuracy: 0.9131, prior_entropy: 0.9674, relative_absolute_error: 0.3891, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.5603, unweighted_recall: 0.9027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9224, kappa: 0.8368, kb_relative_information_score: 0.7254, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9228, number_of_instances: 4601, precision: 0.9229, predictive_accuracy: 0.9228, prior_entropy: 0.9674, relative_absolute_error: 0.2981, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.5163, unweighted_recall: 0.9143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9227, kappa: 0.8375, kb_relative_information_score: 0.733, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9231, number_of_instances: 4601, precision: 0.9231, predictive_accuracy: 0.9231, prior_entropy: 0.9674, relative_absolute_error: 0.2894, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.5114, unweighted_recall: 0.9151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9278, kappa: 0.8484, kb_relative_information_score: 0.7665, mean_absolute_error: 0.1192, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9281, number_of_instances: 4601, precision: 0.928, predictive_accuracy: 0.9281, prior_entropy: 0.9674, relative_absolute_error: 0.2497, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2416, root_relative_squared_error: 0.4944, unweighted_recall: 0.9214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9258, kappa: 0.8441, kb_relative_information_score: 0.7526, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9261, number_of_instances: 4601, precision: 0.926, predictive_accuracy: 0.9261, prior_entropy: 0.9674, relative_absolute_error: 0.2663, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.501, unweighted_recall: 0.9191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9273, kappa: 0.8476, kb_relative_information_score: 0.7782, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9274, number_of_instances: 4601, precision: 0.9273, predictive_accuracy: 0.9274, prior_entropy: 0.9674, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.4977, unweighted_recall: 0.9228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9285, kappa: 0.8497, kb_relative_information_score: 0.7653, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9287, number_of_instances: 4601, precision: 0.9286, predictive_accuracy: 0.9287, prior_entropy: 0.9674, relative_absolute_error: 0.2513, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.4943, unweighted_recall: 0.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9278, kappa: 0.8484, kb_relative_information_score: 0.7667, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9281, number_of_instances: 4601, precision: 0.928, predictive_accuracy: 0.9281, prior_entropy: 0.9674, relative_absolute_error: 0.2494, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2416, root_relative_squared_error: 0.4944, unweighted_recall: 0.9214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.926, kappa: 0.8446, kb_relative_information_score: 0.7532, mean_absolute_error: 0.1268, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9263, number_of_instances: 4601, precision: 0.9263, predictive_accuracy: 0.9263, prior_entropy: 0.9674, relative_absolute_error: 0.2656, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.5007, unweighted_recall: 0.9192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.8782, kappa: 0.7422, kb_relative_information_score: 0.4678, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.4776, weighted_recall: 0.8809, number_of_instances: 4601, precision: 0.886, predictive_accuracy: 0.8809, prior_entropy: 0.9674, relative_absolute_error: 0.5855, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.329, root_relative_squared_error: 0.6732, unweighted_recall: 0.8591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9291, kappa: 0.8511, kb_relative_information_score: 0.7618, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9294, number_of_instances: 4601, precision: 0.9293, predictive_accuracy: 0.9294, prior_entropy: 0.9674, relative_absolute_error: 0.2556, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2424, root_relative_squared_error: 0.4962, unweighted_recall: 0.9226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.9114, kappa: 0.8133, kb_relative_information_score: 0.6504, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9122, number_of_instances: 4601, precision: 0.9129, predictive_accuracy: 0.9122, prior_entropy: 0.9674, relative_absolute_error: 0.3846, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.274, root_relative_squared_error: 0.5608, unweighted_recall: 0.9005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9258, kappa: 0.8441, kb_relative_information_score: 0.7524, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9261, number_of_instances: 4601, precision: 0.926, predictive_accuracy: 0.9261, prior_entropy: 0.9674, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5011, unweighted_recall: 0.9191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9278, kappa: 0.8484, kb_relative_information_score: 0.7667, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9281, number_of_instances: 4601, precision: 0.928, predictive_accuracy: 0.9281, prior_entropy: 0.9674, relative_absolute_error: 0.2494, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2416, root_relative_squared_error: 0.4944, unweighted_recall: 0.9214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9291, kappa: 0.8511, kb_relative_information_score: 0.7618, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9294, number_of_instances: 4601, precision: 0.9293, predictive_accuracy: 0.9294, prior_entropy: 0.9674, relative_absolute_error: 0.2556, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2424, root_relative_squared_error: 0.4962, unweighted_recall: 0.9226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.926, kappa: 0.8446, kb_relative_information_score: 0.7532, mean_absolute_error: 0.1268, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9263, number_of_instances: 4601, precision: 0.9263, predictive_accuracy: 0.9263, prior_entropy: 0.9674, relative_absolute_error: 0.2656, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.5007, unweighted_recall: 0.9192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.9114, kappa: 0.8133, kb_relative_information_score: 0.6504, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9122, number_of_instances: 4601, precision: 0.9129, predictive_accuracy: 0.9122, prior_entropy: 0.9674, relative_absolute_error: 0.3846, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.274, root_relative_squared_error: 0.5608, unweighted_recall: 0.9005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9224, kappa: 0.8368, kb_relative_information_score: 0.7254, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9228, number_of_instances: 4601, precision: 0.9229, predictive_accuracy: 0.9228, prior_entropy: 0.9674, relative_absolute_error: 0.2981, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.5163, unweighted_recall: 0.9143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.926, kappa: 0.8446, kb_relative_information_score: 0.7532, mean_absolute_error: 0.1268, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9263, number_of_instances: 4601, precision: 0.9263, predictive_accuracy: 0.9263, prior_entropy: 0.9674, relative_absolute_error: 0.2656, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.5007, unweighted_recall: 0.9192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9258, kappa: 0.8441, kb_relative_information_score: 0.7524, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9261, number_of_instances: 4601, precision: 0.926, predictive_accuracy: 0.9261, prior_entropy: 0.9674, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5011, unweighted_recall: 0.9191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9258, kappa: 0.8441, kb_relative_information_score: 0.7524, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9261, number_of_instances: 4601, precision: 0.926, predictive_accuracy: 0.9261, prior_entropy: 0.9674, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5011, unweighted_recall: 0.9191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9258, kappa: 0.8441, kb_relative_information_score: 0.7524, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9261, number_of_instances: 4601, precision: 0.926, predictive_accuracy: 0.9261, prior_entropy: 0.9674, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5011, unweighted_recall: 0.9191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9258, kappa: 0.8441, kb_relative_information_score: 0.7524, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9261, number_of_instances: 4601, precision: 0.926, predictive_accuracy: 0.9261, prior_entropy: 0.9674, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5011, unweighted_recall: 0.9191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.8782, kappa: 0.7422, kb_relative_information_score: 0.4678, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.4776, weighted_recall: 0.8809, number_of_instances: 4601, precision: 0.886, predictive_accuracy: 0.8809, prior_entropy: 0.9674, relative_absolute_error: 0.5855, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.329, root_relative_squared_error: 0.6732, unweighted_recall: 0.8591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9278, kappa: 0.8484, kb_relative_information_score: 0.7666, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9281, number_of_instances: 4601, precision: 0.928, predictive_accuracy: 0.9281, prior_entropy: 0.9674, relative_absolute_error: 0.2495, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2416, root_relative_squared_error: 0.4945, unweighted_recall: 0.9214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9258, kappa: 0.8441, kb_relative_information_score: 0.7524, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9261, number_of_instances: 4601, precision: 0.926, predictive_accuracy: 0.9261, prior_entropy: 0.9674, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5011, unweighted_recall: 0.9191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.8782, kappa: 0.7422, kb_relative_information_score: 0.4678, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.4776, weighted_recall: 0.8809, number_of_instances: 4601, precision: 0.886, predictive_accuracy: 0.8809, prior_entropy: 0.9674, relative_absolute_error: 0.5855, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.329, root_relative_squared_error: 0.6732, unweighted_recall: 0.8591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9258, kappa: 0.8441, kb_relative_information_score: 0.7524, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9261, number_of_instances: 4601, precision: 0.926, predictive_accuracy: 0.9261, prior_entropy: 0.9674, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5011, unweighted_recall: 0.9191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9258, kappa: 0.8441, kb_relative_information_score: 0.7524, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9261, number_of_instances: 4601, precision: 0.926, predictive_accuracy: 0.9261, prior_entropy: 0.9674, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5011, unweighted_recall: 0.9191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.8782, kappa: 0.7422, kb_relative_information_score: 0.4678, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.4776, weighted_recall: 0.8809, number_of_instances: 4601, precision: 0.886, predictive_accuracy: 0.8809, prior_entropy: 0.9674, relative_absolute_error: 0.5855, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.329, root_relative_squared_error: 0.6732, unweighted_recall: 0.8591,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9258, kappa: 0.8441, kb_relative_information_score: 0.7524, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9261, number_of_instances: 4601, precision: 0.926, predictive_accuracy: 0.9261, prior_entropy: 0.9674, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5011, unweighted_recall: 0.9191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9258, kappa: 0.8441, kb_relative_information_score: 0.7524, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9261, number_of_instances: 4601, precision: 0.926, predictive_accuracy: 0.9261, prior_entropy: 0.9674, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5011, unweighted_recall: 0.9191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9258, kappa: 0.8441, kb_relative_information_score: 0.7524, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9261, number_of_instances: 4601, precision: 0.926, predictive_accuracy: 0.9261, prior_entropy: 0.9674, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5011, unweighted_recall: 0.9191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9258, kappa: 0.8441, kb_relative_information_score: 0.7526, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9261, number_of_instances: 4601, precision: 0.926, predictive_accuracy: 0.9261, prior_entropy: 0.9674, relative_absolute_error: 0.2664, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.501, unweighted_recall: 0.9191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9258, kappa: 0.8441, kb_relative_information_score: 0.7524, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9261, number_of_instances: 4601, precision: 0.926, predictive_accuracy: 0.9261, prior_entropy: 0.9674, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5011, unweighted_recall: 0.9191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9258, kappa: 0.8441, kb_relative_information_score: 0.7524, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9261, number_of_instances: 4601, precision: 0.926, predictive_accuracy: 0.9261, prior_entropy: 0.9674, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5011, unweighted_recall: 0.9191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.8782, kappa: 0.7422, kb_relative_information_score: 0.4678, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.4776, weighted_recall: 0.8809, number_of_instances: 4601, precision: 0.886, predictive_accuracy: 0.8809, prior_entropy: 0.9674, relative_absolute_error: 0.5855, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.329, root_relative_squared_error: 0.6732, unweighted_recall: 0.8591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9258, kappa: 0.8441, kb_relative_information_score: 0.7524, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9261, number_of_instances: 4601, precision: 0.926, predictive_accuracy: 0.9261, prior_entropy: 0.9674, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5011, unweighted_recall: 0.9191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9258, kappa: 0.8441, kb_relative_information_score: 0.7524, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9261, number_of_instances: 4601, precision: 0.926, predictive_accuracy: 0.9261, prior_entropy: 0.9674, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5011, unweighted_recall: 0.9191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.926, kappa: 0.8446, kb_relative_information_score: 0.7532, mean_absolute_error: 0.1268, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9263, number_of_instances: 4601, precision: 0.9263, predictive_accuracy: 0.9263, prior_entropy: 0.9674, relative_absolute_error: 0.2656, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.5007, unweighted_recall: 0.9192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9285, kappa: 0.8497, kb_relative_information_score: 0.7653, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9287, number_of_instances: 4601, precision: 0.9286, predictive_accuracy: 0.9287, prior_entropy: 0.9674, relative_absolute_error: 0.2512, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.4943, unweighted_recall: 0.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9258, kappa: 0.8441, kb_relative_information_score: 0.7524, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9261, number_of_instances: 4601, precision: 0.926, predictive_accuracy: 0.9261, prior_entropy: 0.9674, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5011, unweighted_recall: 0.9191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9258, kappa: 0.8441, kb_relative_information_score: 0.7524, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9261, number_of_instances: 4601, precision: 0.926, predictive_accuracy: 0.9261, prior_entropy: 0.9674, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5011, unweighted_recall: 0.9191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9258, kappa: 0.8441, kb_relative_information_score: 0.7524, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9261, number_of_instances: 4601, precision: 0.926, predictive_accuracy: 0.9261, prior_entropy: 0.9674, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5011, unweighted_recall: 0.9191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9258, kappa: 0.8441, kb_relative_information_score: 0.7524, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9261, number_of_instances: 4601, precision: 0.926, predictive_accuracy: 0.9261, prior_entropy: 0.9674, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5011, unweighted_recall: 0.9191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9258, kappa: 0.8441, kb_relative_information_score: 0.7524, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9261, number_of_instances: 4601, precision: 0.926, predictive_accuracy: 0.9261, prior_entropy: 0.9674, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5011, unweighted_recall: 0.9191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9285, kappa: 0.8497, kb_relative_information_score: 0.7653, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9287, number_of_instances: 4601, precision: 0.9286, predictive_accuracy: 0.9287, prior_entropy: 0.9674, relative_absolute_error: 0.2512, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.4943, unweighted_recall: 0.922,

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