OpenML
Supervised Classification on spambase

Supervised Classification on spambase

Task 43 Supervised Classification spambase 99454 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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99454 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.8988, kappa: 0.7874, kb_relative_information_score: 0.735, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.4776, weighted_recall: 0.8992, number_of_instances: 4601, precision: 0.8989, predictive_accuracy: 0.8992, prior_entropy: 0.9674, relative_absolute_error: 0.2721, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2763, root_relative_squared_error: 0.5654, unweighted_recall: 0.8911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.894, kappa: 0.7775, kb_relative_information_score: 0.71, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.4776, weighted_recall: 0.8944, number_of_instances: 4601, precision: 0.894, predictive_accuracy: 0.8944, prior_entropy: 0.9674, relative_absolute_error: 0.3009, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.5693, unweighted_recall: 0.8865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.9042, kappa: 0.7991, kb_relative_information_score: 0.7537, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9044, number_of_instances: 4601, precision: 0.9042, predictive_accuracy: 0.9044, prior_entropy: 0.9674, relative_absolute_error: 0.2526, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.5417, unweighted_recall: 0.8983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.7893, kappa: 0.5559, kb_relative_information_score: 0.4166, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.4776, weighted_recall: 0.7913, number_of_instances: 4601, precision: 0.7895, predictive_accuracy: 0.7913, prior_entropy: 0.9674, relative_absolute_error: 0.6033, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.7813, unweighted_recall: 0.7734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7005, f_measure: 0.6656, kappa: 0.3143, kb_relative_information_score: 0.2263, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.4776, weighted_recall: 0.7094, number_of_instances: 4601, precision: 0.7563, predictive_accuracy: 0.7094, prior_entropy: 0.9674, relative_absolute_error: 0.7835, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8889, unweighted_recall: 0.6395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.9094, kappa: 0.8098, kb_relative_information_score: 0.773, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9096, number_of_instances: 4601, precision: 0.9094, predictive_accuracy: 0.9096, prior_entropy: 0.9674, relative_absolute_error: 0.23, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.5504, unweighted_recall: 0.9031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.8028, kappa: 0.5836, kb_relative_information_score: 0.4603, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.4776, weighted_recall: 0.8055, number_of_instances: 4601, precision: 0.8042, predictive_accuracy: 0.8055, prior_entropy: 0.9674, relative_absolute_error: 0.5607, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.7577, unweighted_recall: 0.7855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.9038, kappa: 0.7982, kb_relative_information_score: 0.7776, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9039, number_of_instances: 4601, precision: 0.9037, predictive_accuracy: 0.9039, prior_entropy: 0.9674, relative_absolute_error: 0.2217, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2777, root_relative_squared_error: 0.5683, unweighted_recall: 0.8978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.9063, kappa: 0.8035, kb_relative_information_score: 0.7595, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9065, number_of_instances: 4601, precision: 0.9063, predictive_accuracy: 0.9065, prior_entropy: 0.9674, relative_absolute_error: 0.2464, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2626, root_relative_squared_error: 0.5375, unweighted_recall: 0.9001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.9051, kappa: 0.8009, kb_relative_information_score: 0.7398, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9052, number_of_instances: 4601, precision: 0.905, predictive_accuracy: 0.9052, prior_entropy: 0.9674, relative_absolute_error: 0.2679, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.5512, unweighted_recall: 0.8991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.8848, kappa: 0.7579, kb_relative_information_score: 0.6951, mean_absolute_error: 0.1497, mean_prior_absolute_error: 0.4776, weighted_recall: 0.8852, number_of_instances: 4601, precision: 0.8848, predictive_accuracy: 0.8852, prior_entropy: 0.9674, relative_absolute_error: 0.3135, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.592, unweighted_recall: 0.8761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.9121, kappa: 0.8155, kb_relative_information_score: 0.7928, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9124, number_of_instances: 4601, precision: 0.9122, predictive_accuracy: 0.9124, prior_entropy: 0.9674, relative_absolute_error: 0.2066, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2714, root_relative_squared_error: 0.5555, unweighted_recall: 0.9053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.9039, kappa: 0.7983, kb_relative_information_score: 0.7508, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9042, number_of_instances: 4601, precision: 0.9039, predictive_accuracy: 0.9042, prior_entropy: 0.9674, relative_absolute_error: 0.2558, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.5492, unweighted_recall: 0.8973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.8897, kappa: 0.7684, kb_relative_information_score: 0.7113, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.4776, weighted_recall: 0.89, number_of_instances: 4601, precision: 0.8897, predictive_accuracy: 0.89, prior_entropy: 0.9674, relative_absolute_error: 0.2974, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.5819, unweighted_recall: 0.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.9206, kappa: 0.8334, kb_relative_information_score: 0.8154, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9207, number_of_instances: 4601, precision: 0.9205, predictive_accuracy: 0.9207, prior_entropy: 0.9674, relative_absolute_error: 0.1842, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.5399, unweighted_recall: 0.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.9164, kappa: 0.8246, kb_relative_information_score: 0.7973, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9165, number_of_instances: 4601, precision: 0.9164, predictive_accuracy: 0.9165, prior_entropy: 0.9674, relative_absolute_error: 0.203, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.263, root_relative_squared_error: 0.5382, unweighted_recall: 0.9109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.9069, kappa: 0.805, kb_relative_information_score: 0.7549, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.4776, weighted_recall: 0.907, number_of_instances: 4601, precision: 0.9069, predictive_accuracy: 0.907, prior_entropy: 0.9674, relative_absolute_error: 0.2515, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.5406, unweighted_recall: 0.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.9022, kappa: 0.7949, kb_relative_information_score: 0.7603, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9024, number_of_instances: 4601, precision: 0.9022, predictive_accuracy: 0.9024, prior_entropy: 0.9674, relative_absolute_error: 0.2428, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.568, unweighted_recall: 0.8959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.919, kappa: 0.8301, kb_relative_information_score: 0.8026, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9191, number_of_instances: 4601, precision: 0.919, predictive_accuracy: 0.9191, prior_entropy: 0.9674, relative_absolute_error: 0.1995, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2545, root_relative_squared_error: 0.5209, unweighted_recall: 0.9137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.8945, kappa: 0.7789, kb_relative_information_score: 0.7363, mean_absolute_error: 0.1281, mean_prior_absolute_error: 0.4776, weighted_recall: 0.8946, number_of_instances: 4601, precision: 0.8945, predictive_accuracy: 0.8946, prior_entropy: 0.9674, relative_absolute_error: 0.2682, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2765, root_relative_squared_error: 0.5659, unweighted_recall: 0.8889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.8525, kappa: 0.69, kb_relative_information_score: 0.5727, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.4776, weighted_recall: 0.8531, number_of_instances: 4601, precision: 0.8524, predictive_accuracy: 0.8531, prior_entropy: 0.9674, relative_absolute_error: 0.4504, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.6768, unweighted_recall: 0.8424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8272, kappa: 0.6362, kb_relative_information_score: 0.5188, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.4776, weighted_recall: 0.8285, number_of_instances: 4601, precision: 0.8274, predictive_accuracy: 0.8285, prior_entropy: 0.9674, relative_absolute_error: 0.4995, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3473, root_relative_squared_error: 0.7108, unweighted_recall: 0.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.9094, kappa: 0.81, kb_relative_information_score: 0.7677, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9096, number_of_instances: 4601, precision: 0.9094, predictive_accuracy: 0.9096, prior_entropy: 0.9674, relative_absolute_error: 0.2369, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2643, root_relative_squared_error: 0.5408, unweighted_recall: 0.9035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.8904, kappa: 0.7699, kb_relative_information_score: 0.7042, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.4776, weighted_recall: 0.8907, number_of_instances: 4601, precision: 0.8903, predictive_accuracy: 0.8907, prior_entropy: 0.9674, relative_absolute_error: 0.3062, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.5877, unweighted_recall: 0.8831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.9241, kappa: 0.8408, kb_relative_information_score: 0.8049, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9241, number_of_instances: 4601, precision: 0.924, predictive_accuracy: 0.9241, prior_entropy: 0.9674, relative_absolute_error: 0.1979, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.5101, unweighted_recall: 0.9195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.9089, kappa: 0.8089, kb_relative_information_score: 0.7646, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9092, number_of_instances: 4601, precision: 0.9089, predictive_accuracy: 0.9092, prior_entropy: 0.9674, relative_absolute_error: 0.2412, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.263, root_relative_squared_error: 0.5382, unweighted_recall: 0.9027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.8948, kappa: 0.7793, kb_relative_information_score: 0.752, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.4776, weighted_recall: 0.895, number_of_instances: 4601, precision: 0.8947, predictive_accuracy: 0.895, prior_entropy: 0.9674, relative_absolute_error: 0.2478, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.5947, unweighted_recall: 0.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.8785, kappa: 0.7446, kb_relative_information_score: 0.6741, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.4776, weighted_recall: 0.8789, number_of_instances: 4601, precision: 0.8785, predictive_accuracy: 0.8789, prior_entropy: 0.9674, relative_absolute_error: 0.3379, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.5998, unweighted_recall: 0.8696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.9122, kappa: 0.8159, kb_relative_information_score: 0.7646, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9124, number_of_instances: 4601, precision: 0.9122, predictive_accuracy: 0.9124, prior_entropy: 0.9674, relative_absolute_error: 0.2421, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.26, root_relative_squared_error: 0.5322, unweighted_recall: 0.9063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.9061, kappa: 0.803, kb_relative_information_score: 0.7567, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9063, number_of_instances: 4601, precision: 0.9061, predictive_accuracy: 0.9063, prior_entropy: 0.9674, relative_absolute_error: 0.2494, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2677, root_relative_squared_error: 0.5478, unweighted_recall: 0.8998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.9024, kappa: 0.7949, kb_relative_information_score: 0.7772, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9028, number_of_instances: 4601, precision: 0.9026, predictive_accuracy: 0.9028, prior_entropy: 0.9674, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.592, unweighted_recall: 0.8942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.8963, kappa: 0.7826, kb_relative_information_score: 0.7398, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.4776, weighted_recall: 0.8963, number_of_instances: 4601, precision: 0.8962, predictive_accuracy: 0.8963, prior_entropy: 0.9674, relative_absolute_error: 0.2653, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.5656, unweighted_recall: 0.8907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.8989, kappa: 0.7881, kb_relative_information_score: 0.7604, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.4776, weighted_recall: 0.8989, number_of_instances: 4601, precision: 0.8988, predictive_accuracy: 0.8989, prior_entropy: 0.9674, relative_absolute_error: 0.2393, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.287, root_relative_squared_error: 0.5874, unweighted_recall: 0.8935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.8706, kappa: 0.7273, kb_relative_information_score: 0.6252, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.4776, weighted_recall: 0.8718, number_of_instances: 4601, precision: 0.8717, predictive_accuracy: 0.8718, prior_entropy: 0.9674, relative_absolute_error: 0.3934, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3108, root_relative_squared_error: 0.6361, unweighted_recall: 0.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.9123, kappa: 0.8163, kb_relative_information_score: 0.7826, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9124, number_of_instances: 4601, precision: 0.9123, predictive_accuracy: 0.9124, prior_entropy: 0.9674, relative_absolute_error: 0.2197, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2732, root_relative_squared_error: 0.5592, unweighted_recall: 0.9075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.9062, kappa: 0.8034, kb_relative_information_score: 0.7562, mean_absolute_error: 0.1195, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9063, number_of_instances: 4601, precision: 0.9062, predictive_accuracy: 0.9063, prior_entropy: 0.9674, relative_absolute_error: 0.2503, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.5413, unweighted_recall: 0.9009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.8551, kappa: 0.6953, kb_relative_information_score: 0.5917, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4776, weighted_recall: 0.8559, number_of_instances: 4601, precision: 0.8552, predictive_accuracy: 0.8559, prior_entropy: 0.9674, relative_absolute_error: 0.4254, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.6646, unweighted_recall: 0.8444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.8964, kappa: 0.7826, kb_relative_information_score: 0.7174, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.4776, weighted_recall: 0.8965, number_of_instances: 4601, precision: 0.8963, predictive_accuracy: 0.8965, prior_entropy: 0.9674, relative_absolute_error: 0.2928, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.5714, unweighted_recall: 0.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.8998, kappa: 0.7899, kb_relative_information_score: 0.7395, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9, number_of_instances: 4601, precision: 0.8998, predictive_accuracy: 0.9, prior_entropy: 0.9674, relative_absolute_error: 0.2661, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.5644, unweighted_recall: 0.8935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.9117, kappa: 0.8149, kb_relative_information_score: 0.7878, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9118, number_of_instances: 4601, precision: 0.9116, predictive_accuracy: 0.9118, prior_entropy: 0.9674, relative_absolute_error: 0.214, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.5353, unweighted_recall: 0.9068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.9114, kappa: 0.8141, kb_relative_information_score: 0.763, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9115, number_of_instances: 4601, precision: 0.9113, predictive_accuracy: 0.9115, prior_entropy: 0.9674, relative_absolute_error: 0.2447, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2595, root_relative_squared_error: 0.5311, unweighted_recall: 0.9057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.899, kappa: 0.7881, kb_relative_information_score: 0.7235, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.4776, weighted_recall: 0.8992, number_of_instances: 4601, precision: 0.8989, predictive_accuracy: 0.8992, prior_entropy: 0.9674, relative_absolute_error: 0.2849, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2833, root_relative_squared_error: 0.5798, unweighted_recall: 0.8928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.9179, kappa: 0.8279, kb_relative_information_score: 0.8068, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9181, number_of_instances: 4601, precision: 0.9179, predictive_accuracy: 0.9181, prior_entropy: 0.9674, relative_absolute_error: 0.1929, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.5347, unweighted_recall: 0.9128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8384, kappa: 0.6597, kb_relative_information_score: 0.5656, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4776, weighted_recall: 0.8396, number_of_instances: 4601, precision: 0.8387, predictive_accuracy: 0.8396, prior_entropy: 0.9674, relative_absolute_error: 0.4499, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.6841, unweighted_recall: 0.8255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.831, kappa: 0.6441, kb_relative_information_score: 0.5342, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.4776, weighted_recall: 0.8322, number_of_instances: 4601, precision: 0.8312, predictive_accuracy: 0.8322, prior_entropy: 0.9674, relative_absolute_error: 0.483, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.7054, unweighted_recall: 0.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.8924, kappa: 0.7741, kb_relative_information_score: 0.7022, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.4776, weighted_recall: 0.8926, number_of_instances: 4601, precision: 0.8923, predictive_accuracy: 0.8926, prior_entropy: 0.9674, relative_absolute_error: 0.3076, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.5924, unweighted_recall: 0.8853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.8947, kappa: 0.779, kb_relative_information_score: 0.725, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.4776, weighted_recall: 0.895, number_of_instances: 4601, precision: 0.8947, predictive_accuracy: 0.895, prior_entropy: 0.9674, relative_absolute_error: 0.2814, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2813, root_relative_squared_error: 0.5756, unweighted_recall: 0.8874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.9067, kappa: 0.8043, kb_relative_information_score: 0.7555, mean_absolute_error: 0.1198, mean_prior_absolute_error: 0.4776, weighted_recall: 0.907, number_of_instances: 4601, precision: 0.9067, predictive_accuracy: 0.907, prior_entropy: 0.9674, relative_absolute_error: 0.2509, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.5568, unweighted_recall: 0.9002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.8927, kappa: 0.7748, kb_relative_information_score: 0.7164, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.4776, weighted_recall: 0.8928, number_of_instances: 4601, precision: 0.8926, predictive_accuracy: 0.8928, prior_entropy: 0.9674, relative_absolute_error: 0.2926, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.5672, unweighted_recall: 0.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.9241, kappa: 0.8411, kb_relative_information_score: 0.8209, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9241, number_of_instances: 4601, precision: 0.9241, predictive_accuracy: 0.9241, prior_entropy: 0.9674, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2555, root_relative_squared_error: 0.5229, unweighted_recall: 0.9204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.9015, kappa: 0.7934, kb_relative_information_score: 0.7445, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9018, number_of_instances: 4601, precision: 0.9015, predictive_accuracy: 0.9018, prior_entropy: 0.9674, relative_absolute_error: 0.2616, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.273, root_relative_squared_error: 0.5587, unweighted_recall: 0.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.913, kappa: 0.8176, kb_relative_information_score: 0.7767, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9131, number_of_instances: 4601, precision: 0.9129, predictive_accuracy: 0.9131, prior_entropy: 0.9674, relative_absolute_error: 0.2274, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.5328, unweighted_recall: 0.9081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.8926, kappa: 0.7746, kb_relative_information_score: 0.7062, mean_absolute_error: 0.1455, mean_prior_absolute_error: 0.4776, weighted_recall: 0.8928, number_of_instances: 4601, precision: 0.8925, predictive_accuracy: 0.8928, prior_entropy: 0.9674, relative_absolute_error: 0.3046, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2847, root_relative_squared_error: 0.5825, unweighted_recall: 0.8856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.9189, kappa: 0.83, kb_relative_information_score: 0.7997, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9189, number_of_instances: 4601, precision: 0.9188, predictive_accuracy: 0.9189, prior_entropy: 0.9674, relative_absolute_error: 0.2018, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.536, unweighted_recall: 0.9143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.9058, kappa: 0.8026, kb_relative_information_score: 0.7595, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9059, number_of_instances: 4601, precision: 0.9058, predictive_accuracy: 0.9059, prior_entropy: 0.9674, relative_absolute_error: 0.2444, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.5638, unweighted_recall: 0.9006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.8846, kappa: 0.7578, kb_relative_information_score: 0.7063, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.4776, weighted_recall: 0.8848, number_of_instances: 4601, precision: 0.8845, predictive_accuracy: 0.8848, prior_entropy: 0.9674, relative_absolute_error: 0.3004, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.289, root_relative_squared_error: 0.5915, unweighted_recall: 0.8775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8608, kappa: 0.7074, kb_relative_information_score: 0.611, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.4776, weighted_recall: 0.8616, number_of_instances: 4601, precision: 0.8609, predictive_accuracy: 0.8616, prior_entropy: 0.9674, relative_absolute_error: 0.4076, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.6551, unweighted_recall: 0.8505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9026, kappa: 0.7957, kb_relative_information_score: 0.7408, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9028, number_of_instances: 4601, precision: 0.9026, predictive_accuracy: 0.9028, prior_entropy: 0.9674, relative_absolute_error: 0.2675, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2687, root_relative_squared_error: 0.5498, unweighted_recall: 0.8962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.9074, kappa: 0.8055, kb_relative_information_score: 0.7908, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9078, number_of_instances: 4601, precision: 0.9077, predictive_accuracy: 0.9078, prior_entropy: 0.9674, relative_absolute_error: 0.2067, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.5714, unweighted_recall: 0.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.9114, kappa: 0.8144, kb_relative_information_score: 0.7884, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9115, number_of_instances: 4601, precision: 0.9114, predictive_accuracy: 0.9115, prior_entropy: 0.9674, relative_absolute_error: 0.2123, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.5454, unweighted_recall: 0.9063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.8853, kappa: 0.7588, kb_relative_information_score: 0.6834, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.4776, weighted_recall: 0.8859, number_of_instances: 4601, precision: 0.8855, predictive_accuracy: 0.8859, prior_entropy: 0.9674, relative_absolute_error: 0.3293, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.5886, unweighted_recall: 0.8759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.92, kappa: 0.8321, kb_relative_information_score: 0.8099, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9202, number_of_instances: 4601, precision: 0.9201, predictive_accuracy: 0.9202, prior_entropy: 0.9674, relative_absolute_error: 0.1912, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.5171, unweighted_recall: 0.9138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.911, kappa: 0.8133, kb_relative_information_score: 0.789, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9111, number_of_instances: 4601, precision: 0.9109, predictive_accuracy: 0.9111, prior_entropy: 0.9674, relative_absolute_error: 0.2109, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.5804, unweighted_recall: 0.9054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.9038, kappa: 0.7979, kb_relative_information_score: 0.7524, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9042, number_of_instances: 4601, precision: 0.9039, predictive_accuracy: 0.9042, prior_entropy: 0.9674, relative_absolute_error: 0.255, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.5377, unweighted_recall: 0.8963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9218, kappa: 0.836, kb_relative_information_score: 0.8109, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.4776, weighted_recall: 0.922, number_of_instances: 4601, precision: 0.9218, predictive_accuracy: 0.922, prior_entropy: 0.9674, relative_absolute_error: 0.1897, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.253, root_relative_squared_error: 0.5177, unweighted_recall: 0.9165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.8814, kappa: 0.7509, kb_relative_information_score: 0.6844, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.4776, weighted_recall: 0.8818, number_of_instances: 4601, precision: 0.8813, predictive_accuracy: 0.8818, prior_entropy: 0.9674, relative_absolute_error: 0.3264, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.5928, unweighted_recall: 0.8731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.9049, kappa: 0.8001, kb_relative_information_score: 0.7522, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9052, number_of_instances: 4601, precision: 0.905, predictive_accuracy: 0.9052, prior_entropy: 0.9674, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.5376, unweighted_recall: 0.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.9243, kappa: 0.8412, kb_relative_information_score: 0.832, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9244, number_of_instances: 4601, precision: 0.9242, predictive_accuracy: 0.9244, prior_entropy: 0.9674, relative_absolute_error: 0.1659, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.5283, unweighted_recall: 0.9195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.8899, kappa: 0.7689, kb_relative_information_score: 0.6964, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.4776, weighted_recall: 0.8902, number_of_instances: 4601, precision: 0.8899, predictive_accuracy: 0.8902, prior_entropy: 0.9674, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.5872, unweighted_recall: 0.8824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.919, kappa: 0.8299, kb_relative_information_score: 0.8028, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9191, number_of_instances: 4601, precision: 0.919, predictive_accuracy: 0.9191, prior_entropy: 0.9674, relative_absolute_error: 0.1993, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2571, root_relative_squared_error: 0.5261, unweighted_recall: 0.9131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.8867, kappa: 0.7621, kb_relative_information_score: 0.6992, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.4776, weighted_recall: 0.887, number_of_instances: 4601, precision: 0.8866, predictive_accuracy: 0.887, prior_entropy: 0.9674, relative_absolute_error: 0.3107, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.5881, unweighted_recall: 0.8792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.9028, kappa: 0.796, kb_relative_information_score: 0.7604, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9031, number_of_instances: 4601, precision: 0.9028, predictive_accuracy: 0.9031, prior_entropy: 0.9674, relative_absolute_error: 0.2427, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2698, root_relative_squared_error: 0.5522, unweighted_recall: 0.8959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.9006, kappa: 0.7913, kb_relative_information_score: 0.7289, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9009, number_of_instances: 4601, precision: 0.9006, predictive_accuracy: 0.9009, prior_entropy: 0.9674, relative_absolute_error: 0.2819, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2715, root_relative_squared_error: 0.5556, unweighted_recall: 0.8933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.9093, kappa: 0.8095, kb_relative_information_score: 0.7669, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9096, number_of_instances: 4601, precision: 0.9094, predictive_accuracy: 0.9096, prior_entropy: 0.9674, relative_absolute_error: 0.2378, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.5438, unweighted_recall: 0.9023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.9074, kappa: 0.8056, kb_relative_information_score: 0.7708, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9076, number_of_instances: 4601, precision: 0.9074, predictive_accuracy: 0.9076, prior_entropy: 0.9674, relative_absolute_error: 0.2318, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.5588, unweighted_recall: 0.9008,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.8912, kappa: 0.7719, kb_relative_information_score: 0.7267, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.4776, weighted_recall: 0.8913, number_of_instances: 4601, precision: 0.8911, predictive_accuracy: 0.8913, prior_entropy: 0.9674, relative_absolute_error: 0.2786, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.5872, unweighted_recall: 0.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.9038, kappa: 0.7984, kb_relative_information_score: 0.7551, mean_absolute_error: 0.1195, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9039, number_of_instances: 4601, precision: 0.9038, predictive_accuracy: 0.9039, prior_entropy: 0.9674, relative_absolute_error: 0.2503, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2674, root_relative_squared_error: 0.5472, unweighted_recall: 0.8985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.8897, kappa: 0.7684, kb_relative_information_score: 0.6959, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.4776, weighted_recall: 0.89, number_of_instances: 4601, precision: 0.8897, predictive_accuracy: 0.89, prior_entropy: 0.9674, relative_absolute_error: 0.3164, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.5941, unweighted_recall: 0.8821,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8529, kappa: 0.6913, kb_relative_information_score: 0.5992, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.4776, weighted_recall: 0.8533, number_of_instances: 4601, precision: 0.8528, predictive_accuracy: 0.8533, prior_entropy: 0.9674, relative_absolute_error: 0.4162, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.6595, unweighted_recall: 0.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.9011, kappa: 0.7922, kb_relative_information_score: 0.7378, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9015, number_of_instances: 4601, precision: 0.9013, predictive_accuracy: 0.9015, prior_entropy: 0.9674, relative_absolute_error: 0.2693, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.5584, unweighted_recall: 0.8929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.8802, kappa: 0.7488, kb_relative_information_score: 0.6754, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.4776, weighted_recall: 0.8805, number_of_instances: 4601, precision: 0.8801, predictive_accuracy: 0.8805, prior_entropy: 0.9674, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.603, unweighted_recall: 0.8731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.9249, kappa: 0.8424, kb_relative_information_score: 0.801, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.4776, weighted_recall: 0.925, number_of_instances: 4601, precision: 0.9249, predictive_accuracy: 0.925, prior_entropy: 0.9674, relative_absolute_error: 0.2039, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.5105, unweighted_recall: 0.9195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.9025, kappa: 0.7953, kb_relative_information_score: 0.7371, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9028, number_of_instances: 4601, precision: 0.9026, predictive_accuracy: 0.9028, prior_entropy: 0.9674, relative_absolute_error: 0.2716, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5539, unweighted_recall: 0.8951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.9167, kappa: 0.8252, kb_relative_information_score: 0.8061, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.4776, weighted_recall: 0.917, number_of_instances: 4601, precision: 0.9168, predictive_accuracy: 0.917, prior_entropy: 0.9674, relative_absolute_error: 0.1934, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.5391, unweighted_recall: 0.9103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.918, kappa: 0.8282, kb_relative_information_score: 0.7951, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9181, number_of_instances: 4601, precision: 0.918, predictive_accuracy: 0.9181, prior_entropy: 0.9674, relative_absolute_error: 0.2077, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.253, root_relative_squared_error: 0.5178, unweighted_recall: 0.9135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8775, kappa: 0.7423, kb_relative_information_score: 0.6648, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4776, weighted_recall: 0.8783, number_of_instances: 4601, precision: 0.8779, predictive_accuracy: 0.8783, prior_entropy: 0.9674, relative_absolute_error: 0.3491, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3002, root_relative_squared_error: 0.6143, unweighted_recall: 0.8672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.8942, kappa: 0.7782, kb_relative_information_score: 0.7348, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.4776, weighted_recall: 0.8944, number_of_instances: 4601, precision: 0.8941, predictive_accuracy: 0.8944, prior_entropy: 0.9674, relative_absolute_error: 0.2706, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2806, root_relative_squared_error: 0.5742, unweighted_recall: 0.8881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.8991, kappa: 0.7884, kb_relative_information_score: 0.7266, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.4776, weighted_recall: 0.8992, number_of_instances: 4601, precision: 0.899, predictive_accuracy: 0.8992, prior_entropy: 0.9674, relative_absolute_error: 0.2821, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.5585, unweighted_recall: 0.8934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.9165, kappa: 0.8248, kb_relative_information_score: 0.7806, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9168, number_of_instances: 4601, precision: 0.9166, predictive_accuracy: 0.9168, prior_entropy: 0.9674, relative_absolute_error: 0.2245, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.5396, unweighted_recall: 0.9102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.9202, kappa: 0.833, kb_relative_information_score: 0.8281, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9202, number_of_instances: 4601, precision: 0.9202, predictive_accuracy: 0.9202, prior_entropy: 0.9674, relative_absolute_error: 0.1685, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.271, root_relative_squared_error: 0.5546, unweighted_recall: 0.9164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.9186, kappa: 0.8292, kb_relative_information_score: 0.8085, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9187, number_of_instances: 4601, precision: 0.9185, predictive_accuracy: 0.9187, prior_entropy: 0.9674, relative_absolute_error: 0.1905, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2676, root_relative_squared_error: 0.5476, unweighted_recall: 0.9133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.9101, kappa: 0.8115, kb_relative_information_score: 0.7617, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9102, number_of_instances: 4601, precision: 0.9101, predictive_accuracy: 0.9102, prior_entropy: 0.9674, relative_absolute_error: 0.2443, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.5427, unweighted_recall: 0.9047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.9035, kappa: 0.7975, kb_relative_information_score: 0.7407, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9037, number_of_instances: 4601, precision: 0.9035, predictive_accuracy: 0.9037, prior_entropy: 0.9674, relative_absolute_error: 0.2677, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.5487, unweighted_recall: 0.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.8845, kappa: 0.7577, kb_relative_information_score: 0.686, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.4776, weighted_recall: 0.8848, number_of_instances: 4601, precision: 0.8845, predictive_accuracy: 0.8848, prior_entropy: 0.9674, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.5891, unweighted_recall: 0.8772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.9152, kappa: 0.8222, kb_relative_information_score: 0.7811, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9152, number_of_instances: 4601, precision: 0.9151, predictive_accuracy: 0.9152, prior_entropy: 0.9674, relative_absolute_error: 0.2229, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.5304, unweighted_recall: 0.9103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.9217, kappa: 0.8357, kb_relative_information_score: 0.8166, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9218, number_of_instances: 4601, precision: 0.9216, predictive_accuracy: 0.9218, prior_entropy: 0.9674, relative_absolute_error: 0.1823, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.5245, unweighted_recall: 0.9168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.8919, kappa: 0.7727, kb_relative_information_score: 0.7024, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.4776, weighted_recall: 0.8924, number_of_instances: 4601, precision: 0.8921, predictive_accuracy: 0.8924, prior_entropy: 0.9674, relative_absolute_error: 0.3089, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2859, root_relative_squared_error: 0.5851, unweighted_recall: 0.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.9088, kappa: 0.8086, kb_relative_information_score: 0.7503, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9092, number_of_instances: 4601, precision: 0.9089, predictive_accuracy: 0.9092, prior_entropy: 0.9674, relative_absolute_error: 0.2588, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.5346, unweighted_recall: 0.9018,

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

OpenML APIs