Task
Supervised Classification on jm1

Supervised Classification on jm1

Task 3904 Supervised Classification jm1 16332 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_98 study_99 under100k under1m
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16332 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.7759, kappa: 0.2051, kb_relative_information_score: 0.077, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8177, number_of_instances: 10885, precision: 0.7859, predictive_accuracy: 0.8177, prior_entropy: 0.7087, relative_absolute_error: 0.8462, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.9279, unweighted_recall: 0.5753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.7759, kappa: 0.2051, kb_relative_information_score: 0.077, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8177, number_of_instances: 10885, precision: 0.7859, predictive_accuracy: 0.8177, prior_entropy: 0.7087, relative_absolute_error: 0.8462, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.9279, unweighted_recall: 0.5753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7356, f_measure: 0.7834, kappa: 0.2389, kb_relative_information_score: 0.089, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8162, number_of_instances: 10885, precision: 0.7844, predictive_accuracy: 0.8162, prior_entropy: 0.7087, relative_absolute_error: 0.8233, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.941, unweighted_recall: 0.5924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.7419, kappa: 0.0761, kb_relative_information_score: 0.0344, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8112, number_of_instances: 10885, precision: 0.7792, predictive_accuracy: 0.8112, prior_entropy: 0.7087, relative_absolute_error: 0.9202, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.95, unweighted_recall: 0.5249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.7759, kappa: 0.2051, kb_relative_information_score: 0.077, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8177, number_of_instances: 10885, precision: 0.7859, predictive_accuracy: 0.8177, prior_entropy: 0.7087, relative_absolute_error: 0.8462, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.9279, unweighted_recall: 0.5753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6115, f_measure: 0.7215, kappa: 0.0044, kb_relative_information_score: 0.0048, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8067, number_of_instances: 10885, precision: 0.7637, predictive_accuracy: 0.8067, prior_entropy: 0.7087, relative_absolute_error: 0.9887, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.9928, unweighted_recall: 0.5014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6168, f_measure: 0.7216, kappa: 0.005, kb_relative_information_score: 0.0049, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.3121, weighted_recall: 0.807, number_of_instances: 10885, precision: 0.8014, predictive_accuracy: 0.807, prior_entropy: 0.7087, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.394, root_relative_squared_error: 0.9975, unweighted_recall: 0.5015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6189, f_measure: 0.7532, kappa: 0.1174, kb_relative_information_score: 0.0588, mean_absolute_error: 0.293, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8133, number_of_instances: 10885, precision: 0.7799, predictive_accuracy: 0.8133, prior_entropy: 0.7087, relative_absolute_error: 0.9388, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.968, unweighted_recall: 0.5398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6274, f_measure: 0.751, kappa: 0.1093, kb_relative_information_score: 0.049, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8118, number_of_instances: 10885, precision: 0.7742, predictive_accuracy: 0.8118, prior_entropy: 0.7087, relative_absolute_error: 0.9471, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3848, root_relative_squared_error: 0.9742, unweighted_recall: 0.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6155, f_measure: 0.7372, kappa: 0.0591, kb_relative_information_score: 0.0304, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.3121, weighted_recall: 0.81, number_of_instances: 10885, precision: 0.7766, predictive_accuracy: 0.81, prior_entropy: 0.7087, relative_absolute_error: 0.9673, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.9843, unweighted_recall: 0.5191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.673, f_measure: 0.736, kappa: 0.0552, kb_relative_information_score: 0.0359, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8109, number_of_instances: 10885, precision: 0.7911, predictive_accuracy: 0.8109, prior_entropy: 0.7087, relative_absolute_error: 0.9628, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.9786, unweighted_recall: 0.5177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6153, f_measure: 0.7445, kappa: 0.0853, kb_relative_information_score: 0.0446, mean_absolute_error: 0.2968, mean_prior_absolute_error: 0.3121, weighted_recall: 0.811, number_of_instances: 10885, precision: 0.7748, predictive_accuracy: 0.811, prior_entropy: 0.7087, relative_absolute_error: 0.9508, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.9734, unweighted_recall: 0.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6622, f_measure: 0.7249, kappa: 0.0164, kb_relative_information_score: -0.0203, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8075, number_of_instances: 10885, precision: 0.7758, predictive_accuracy: 0.8075, prior_entropy: 0.7087, relative_absolute_error: 0.9754, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.9852, unweighted_recall: 0.5051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6294, f_measure: 0.7393, kappa: 0.0668, kb_relative_information_score: 0.0359, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8117, number_of_instances: 10885, precision: 0.7893, predictive_accuracy: 0.8117, prior_entropy: 0.7087, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3875, root_relative_squared_error: 0.9809, unweighted_recall: 0.5216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6228, f_measure: 0.7267, kappa: 0.0226, kb_relative_information_score: 0.0186, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8081, number_of_instances: 10885, precision: 0.7813, predictive_accuracy: 0.8081, prior_entropy: 0.7087, relative_absolute_error: 0.9832, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3911, root_relative_squared_error: 0.9901, unweighted_recall: 0.5071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5596, f_measure: 0.7223, kappa: 0.0076, kb_relative_information_score: 0.0041, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.3121, weighted_recall: 0.8074, number_of_instances: 10885, precision: 0.8446, predictive_accuracy: 0.8074, prior_entropy: 0.7087, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.9979, unweighted_recall: 0.5024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7369, f_measure: 0.7408, kappa: 0.0722, kb_relative_information_score: 0.037, mean_absolute_error: 0.2828, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7757, predictive_accuracy: 0.8106, prior_entropy: 0.7087, recall: 0.8106, relative_absolute_error: 0.9061, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.9412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7471, f_measure: 0.7745, kappa: 0.2003, kb_relative_information_score: 0.0725, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7829, predictive_accuracy: 0.8163, prior_entropy: 0.7087, recall: 0.8163, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5431, f_measure: 0.7557, kappa: 0.1264, kb_relative_information_score: 0.2969, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7815, predictive_accuracy: 0.8141, prior_entropy: 0.7087, recall: 0.8141, relative_absolute_error: 0.5957, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4312, root_relative_squared_error: 1.0916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7379, f_measure: 0.7339, kappa: 0.0476, kb_relative_information_score: 0.0307, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.787, predictive_accuracy: 0.8101, prior_entropy: 0.7087, recall: 0.8101, relative_absolute_error: 0.9175, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.9431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, f_measure: 0.7718, kappa: 0.1875, kb_relative_information_score: 0.0795, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7886, predictive_accuracy: 0.8185, prior_entropy: 0.7087, recall: 0.8185, relative_absolute_error: 0.8528, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.9405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7187, f_measure: 0.7831, kappa: 0.2404, kb_relative_information_score: 0.0428, mean_absolute_error: 0.2575, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7814, predictive_accuracy: 0.8137, prior_entropy: 0.7087, recall: 0.8137, relative_absolute_error: 0.825, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3804, root_relative_squared_error: 0.9629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5463, f_measure: 0.7571, kappa: 0.1329, kb_relative_information_score: 0.2875, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7719, predictive_accuracy: 0.8116, prior_entropy: 0.7087, recall: 0.8116, relative_absolute_error: 0.6037, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4341, root_relative_squared_error: 1.0989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.7883, kappa: 0.2734, kb_relative_information_score: 0.116, mean_absolute_error: 0.2269, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7816, predictive_accuracy: 0.8084, prior_entropy: 0.7087, recall: 0.8084, relative_absolute_error: 0.7268, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.0793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.7883, kappa: 0.2734, kb_relative_information_score: 0.116, mean_absolute_error: 0.2269, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7816, predictive_accuracy: 0.8084, prior_entropy: 0.7087, recall: 0.8084, relative_absolute_error: 0.7268, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.0793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7344, f_measure: 0.7644, kappa: 0.1609, kb_relative_information_score: 0.0489, mean_absolute_error: 0.2732, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.776, predictive_accuracy: 0.8132, prior_entropy: 0.7087, recall: 0.8132, relative_absolute_error: 0.8753, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.9376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.7883, kappa: 0.2734, kb_relative_information_score: 0.116, mean_absolute_error: 0.2269, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7816, predictive_accuracy: 0.8084, prior_entropy: 0.7087, recall: 0.8084, relative_absolute_error: 0.7268, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.0793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.7883, kappa: 0.2734, kb_relative_information_score: 0.116, mean_absolute_error: 0.2269, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7816, predictive_accuracy: 0.8084, prior_entropy: 0.7087, recall: 0.8084, relative_absolute_error: 0.7268, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.0793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, f_measure: 0.7563, kappa: 0.2197, kb_relative_information_score: 0.0542, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7565, predictive_accuracy: 0.7561, prior_entropy: 0.7087, recall: 0.7561, relative_absolute_error: 0.8028, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4936, root_relative_squared_error: 1.2496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, f_measure: 0.7353, kappa: 0.212, kb_relative_information_score: -0.0699, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7568, predictive_accuracy: 0.7202, prior_entropy: 0.7087, recall: 0.7202, relative_absolute_error: 0.9043, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5141, root_relative_squared_error: 1.3015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.7801, kappa: 0.2417, kb_relative_information_score: 0.0577, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7724, predictive_accuracy: 0.8029, prior_entropy: 0.7087, recall: 0.8029, relative_absolute_error: 0.8105, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.9841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, f_measure: 0.7795, kappa: 0.2294, kb_relative_information_score: 0.0686, mean_absolute_error: 0.2499, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7756, predictive_accuracy: 0.8096, prior_entropy: 0.7087, recall: 0.8096, relative_absolute_error: 0.8006, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.9639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.7883, kappa: 0.2734, kb_relative_information_score: 0.116, mean_absolute_error: 0.2269, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7816, predictive_accuracy: 0.8084, prior_entropy: 0.7087, recall: 0.8084, relative_absolute_error: 0.7268, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.0793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, f_measure: 0.7353, kappa: 0.212, kb_relative_information_score: -0.0699, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7568, predictive_accuracy: 0.7202, prior_entropy: 0.7087, recall: 0.7202, relative_absolute_error: 0.9043, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5141, root_relative_squared_error: 1.3015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.7801, kappa: 0.2417, kb_relative_information_score: 0.0577, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7724, predictive_accuracy: 0.8029, prior_entropy: 0.7087, recall: 0.8029, relative_absolute_error: 0.8105, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.9841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, f_measure: 0.7563, kappa: 0.2197, kb_relative_information_score: 0.0542, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7565, predictive_accuracy: 0.7561, prior_entropy: 0.7087, recall: 0.7561, relative_absolute_error: 0.8028, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4936, root_relative_squared_error: 1.2496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, f_measure: 0.7795, kappa: 0.2294, kb_relative_information_score: 0.0686, mean_absolute_error: 0.2499, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7756, predictive_accuracy: 0.8096, prior_entropy: 0.7087, recall: 0.8096, relative_absolute_error: 0.8006, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.9639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6527, kb_relative_information_score: -0.0136, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9266, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.9638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6527, kb_relative_information_score: -0.0136, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9266, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.9638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.7862, kappa: 0.2501, kb_relative_information_score: 0.0741, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7869, predictive_accuracy: 0.8175, prior_entropy: 0.7087, recall: 0.8175, relative_absolute_error: 0.8196, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7551, f_measure: 0.7878, kappa: 0.2555, kb_relative_information_score: 0.073, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7895, predictive_accuracy: 0.8191, prior_entropy: 0.7087, recall: 0.8191, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.366, root_relative_squared_error: 0.9266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6602, f_measure: 0.7622, kappa: 0.1548, kb_relative_information_score: 0.0307, mean_absolute_error: 0.2806, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7663, predictive_accuracy: 0.8088, prior_entropy: 0.7087, recall: 0.8088, relative_absolute_error: 0.899, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.382, root_relative_squared_error: 0.9669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6694, f_measure: 0.771, kappa: 0.2041, kb_relative_information_score: 0.0741, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7626, predictive_accuracy: 0.7989, prior_entropy: 0.7087, recall: 0.7989, relative_absolute_error: 0.8428, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4021, root_relative_squared_error: 1.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7204, f_measure: 0.7682, kappa: 0.186, kb_relative_information_score: 0.0459, mean_absolute_error: 0.2683, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7626, predictive_accuracy: 0.8029, prior_entropy: 0.7087, recall: 0.8029, relative_absolute_error: 0.8595, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.9623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2684, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4399, root_relative_squared_error: 1.1135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.57, f_measure: 0.7715, kappa: 0.1899, kb_relative_information_score: 0.2955, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7776, predictive_accuracy: 0.8137, prior_entropy: 0.7087, recall: 0.8137, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4316, root_relative_squared_error: 1.0927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5725, f_measure: 0.7643, kappa: 0.1799, kb_relative_information_score: 0.2198, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7543, predictive_accuracy: 0.7937, prior_entropy: 0.7087, recall: 0.7937, relative_absolute_error: 0.6611, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4542, root_relative_squared_error: 1.1499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5344, f_measure: 0.7492, kappa: 0.1026, kb_relative_information_score: 0.29, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7775, predictive_accuracy: 0.8122, prior_entropy: 0.7087, recall: 0.8122, relative_absolute_error: 0.6016, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4333, root_relative_squared_error: 1.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5176, f_measure: 0.7359, kappa: 0.0546, kb_relative_information_score: 0.282, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7805, predictive_accuracy: 0.8101, prior_entropy: 0.7087, recall: 0.8101, relative_absolute_error: 0.6084, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4358, root_relative_squared_error: 1.1031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5465, f_measure: 0.7577, kappa: 0.1345, kb_relative_information_score: 0.2934, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7769, predictive_accuracy: 0.8131, prior_entropy: 0.7087, recall: 0.8131, relative_absolute_error: 0.5987, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4323, root_relative_squared_error: 1.0943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5511, f_measure: 0.745, kappa: 0.122, kb_relative_information_score: 0.133, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7303, predictive_accuracy: 0.7707, prior_entropy: 0.7087, recall: 0.7707, relative_absolute_error: 0.7347, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4789, root_relative_squared_error: 1.2122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5714, f_measure: 0.7713, kappa: 0.191, kb_relative_information_score: 0.2858, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7733, predictive_accuracy: 0.8111, prior_entropy: 0.7087, recall: 0.8111, relative_absolute_error: 0.6052, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4346, root_relative_squared_error: 1.1002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5675, f_measure: 0.7643, kappa: 0.1731, kb_relative_information_score: 0.2396, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7566, predictive_accuracy: 0.7989, prior_entropy: 0.7087, recall: 0.7989, relative_absolute_error: 0.6443, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4484, root_relative_squared_error: 1.1352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5123, f_measure: 0.7314, kappa: 0.0389, kb_relative_information_score: 0.2809, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.795, predictive_accuracy: 0.8098, prior_entropy: 0.7087, recall: 0.8098, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4361, root_relative_squared_error: 1.1039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5208, f_measure: 0.7386, kappa: 0.0643, kb_relative_information_score: 0.2872, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7893, predictive_accuracy: 0.8115, prior_entropy: 0.7087, recall: 0.8115, relative_absolute_error: 0.604, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4342, root_relative_squared_error: 1.0991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5558, f_measure: 0.7233, kappa: 0.1119, kb_relative_information_score: -0.0442, mean_absolute_error: 0.2762, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7228, predictive_accuracy: 0.7238, prior_entropy: 0.7087, recall: 0.7238, relative_absolute_error: 0.8848, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5255, root_relative_squared_error: 1.3303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5805, f_measure: 0.7762, kappa: 0.2111, kb_relative_information_score: 0.2903, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7768, predictive_accuracy: 0.8123, prior_entropy: 0.7087, recall: 0.8123, relative_absolute_error: 0.6013, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4332, root_relative_squared_error: 1.0967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2684, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4399, root_relative_squared_error: 1.1135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5075, f_measure: 0.7271, kappa: 0.0239, kb_relative_information_score: 0.2768, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8019, predictive_accuracy: 0.8087, prior_entropy: 0.7087, recall: 0.8087, relative_absolute_error: 0.6128, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4373, root_relative_squared_error: 1.1071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5117, f_measure: 0.7309, kappa: 0.0371, kb_relative_information_score: 0.2806, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7966, predictive_accuracy: 0.8097, prior_entropy: 0.7087, recall: 0.8097, relative_absolute_error: 0.6096, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4362, root_relative_squared_error: 1.1042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5556, f_measure: 0.7634, kappa: 0.1568, kb_relative_information_score: 0.2948, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7768, predictive_accuracy: 0.8135, prior_entropy: 0.7087, recall: 0.8135, relative_absolute_error: 0.5975, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4319, root_relative_squared_error: 1.0932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5551, f_measure: 0.7629, kappa: 0.155, kb_relative_information_score: 0.2917, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7747, predictive_accuracy: 0.8127, prior_entropy: 0.7087, recall: 0.8127, relative_absolute_error: 0.6002, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4328, root_relative_squared_error: 1.0956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5157, f_measure: 0.7343, kappa: 0.049, kb_relative_information_score: 0.2806, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7802, predictive_accuracy: 0.8097, prior_entropy: 0.7087, recall: 0.8097, relative_absolute_error: 0.6096, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4362, root_relative_squared_error: 1.1042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5633, f_measure: 0.7619, kappa: 0.1636, kb_relative_information_score: 0.2354, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7538, predictive_accuracy: 0.7978, prior_entropy: 0.7087, recall: 0.7978, relative_absolute_error: 0.6478, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4497, root_relative_squared_error: 1.1383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5259, f_measure: 0.7427, kappa: 0.0789, kb_relative_information_score: 0.2875, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7809, predictive_accuracy: 0.8116, prior_entropy: 0.7087, recall: 0.8116, relative_absolute_error: 0.6037, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4341, root_relative_squared_error: 1.0989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5285, f_measure: 0.7447, kappa: 0.0862, kb_relative_information_score: 0.2879, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7787, predictive_accuracy: 0.8117, prior_entropy: 0.7087, recall: 0.8117, relative_absolute_error: 0.6034, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.434, root_relative_squared_error: 1.0986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5501, f_measure: 0.7607, kappa: 0.1452, kb_relative_information_score: 0.3035, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7853, predictive_accuracy: 0.8158, prior_entropy: 0.7087, recall: 0.8158, relative_absolute_error: 0.5901, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4292, root_relative_squared_error: 1.0865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5048, f_measure: 0.7246, kappa: 0.0154, kb_relative_information_score: 0.2747, mean_absolute_error: 0.1918, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.821, predictive_accuracy: 0.8082, prior_entropy: 0.7087, recall: 0.8082, relative_absolute_error: 0.6146, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.438, root_relative_squared_error: 1.1087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5096, f_measure: 0.729, kappa: 0.0306, kb_relative_information_score: 0.2789, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7997, predictive_accuracy: 0.8093, prior_entropy: 0.7087, recall: 0.8093, relative_absolute_error: 0.611, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4367, root_relative_squared_error: 1.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5086, f_measure: 0.7281, kappa: 0.0275, kb_relative_information_score: 0.2782, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8036, predictive_accuracy: 0.8091, prior_entropy: 0.7087, recall: 0.8091, relative_absolute_error: 0.6116, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4369, root_relative_squared_error: 1.1061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5158, f_measure: 0.7344, kappa: 0.0494, kb_relative_information_score: 0.2813, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7824, predictive_accuracy: 0.8099, prior_entropy: 0.7087, recall: 0.8099, relative_absolute_error: 0.609, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.436, root_relative_squared_error: 1.1037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5096, f_measure: 0.729, kappa: 0.0306, kb_relative_information_score: 0.2789, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7997, predictive_accuracy: 0.8093, prior_entropy: 0.7087, recall: 0.8093, relative_absolute_error: 0.611, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4367, root_relative_squared_error: 1.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5598, f_measure: 0.7672, kappa: 0.1698, kb_relative_information_score: 0.3098, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7875, predictive_accuracy: 0.8175, prior_entropy: 0.7087, recall: 0.8175, relative_absolute_error: 0.5849, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4273, root_relative_squared_error: 1.0816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5779, f_measure: 0.772, kappa: 0.2, kb_relative_information_score: 0.2646, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7673, predictive_accuracy: 0.8055, prior_entropy: 0.7087, recall: 0.8055, relative_absolute_error: 0.6231, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.441, root_relative_squared_error: 1.1164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5293, f_measure: 0.7455, kappa: 0.0889, kb_relative_information_score: 0.29, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7815, predictive_accuracy: 0.8122, prior_entropy: 0.7087, recall: 0.8122, relative_absolute_error: 0.6016, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4333, root_relative_squared_error: 1.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5623, f_measure: 0.7388, kappa: 0.1341, kb_relative_information_score: 0.0506, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7304, predictive_accuracy: 0.7489, prior_entropy: 0.7087, recall: 0.7489, relative_absolute_error: 0.8044, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.2685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5747, f_measure: 0.7759, kappa: 0.2044, kb_relative_information_score: 0.3143, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.788, predictive_accuracy: 0.8186, prior_entropy: 0.7087, recall: 0.8186, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5269, f_measure: 0.7435, kappa: 0.0819, kb_relative_information_score: 0.2882, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.781, predictive_accuracy: 0.8118, prior_entropy: 0.7087, recall: 0.8118, relative_absolute_error: 0.6031, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4339, root_relative_squared_error: 1.0983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5027, f_measure: 0.7227, kappa: 0.0088, kb_relative_information_score: 0.2719, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.817, predictive_accuracy: 0.8074, prior_entropy: 0.7087, recall: 0.8074, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4388, root_relative_squared_error: 1.1109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5109, f_measure: 0.7301, kappa: 0.0345, kb_relative_information_score: 0.2789, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7903, predictive_accuracy: 0.8093, prior_entropy: 0.7087, recall: 0.8093, relative_absolute_error: 0.611, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4367, root_relative_squared_error: 1.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5041, f_measure: 0.7239, kappa: 0.013, kb_relative_information_score: 0.2723, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7877, predictive_accuracy: 0.8075, prior_entropy: 0.7087, recall: 0.8075, relative_absolute_error: 0.6166, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4387, root_relative_squared_error: 1.1106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2684, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4399, root_relative_squared_error: 1.1135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5451, f_measure: 0.716, kappa: 0.0901, kb_relative_information_score: -0.0741, mean_absolute_error: 0.2841, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.716, predictive_accuracy: 0.7159, prior_entropy: 0.7087, recall: 0.7159, relative_absolute_error: 0.9101, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.533, root_relative_squared_error: 1.3492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5509, f_measure: 0.7613, kappa: 0.1472, kb_relative_information_score: 0.3046, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.786, predictive_accuracy: 0.8161, prior_entropy: 0.7087, recall: 0.8161, relative_absolute_error: 0.5893, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4289, root_relative_squared_error: 1.0857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5883, f_measure: 0.7505, kappa: 0.1841, kb_relative_information_score: 0.077, mean_absolute_error: 0.2441, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7457, predictive_accuracy: 0.7559, prior_entropy: 0.7087, recall: 0.7559, relative_absolute_error: 0.7821, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.2507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5458, f_measure: 0.7576, kappa: 0.1336, kb_relative_information_score: 0.299, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7825, predictive_accuracy: 0.8146, prior_entropy: 0.7087, recall: 0.8146, relative_absolute_error: 0.594, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4306, root_relative_squared_error: 1.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5699, f_measure: 0.7717, kappa: 0.1903, kb_relative_information_score: 0.2976, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7787, predictive_accuracy: 0.8142, prior_entropy: 0.7087, recall: 0.8142, relative_absolute_error: 0.5952, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.431, root_relative_squared_error: 1.0911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5573, f_measure: 0.7658, kappa: 0.164, kb_relative_information_score: 0.3108, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7893, predictive_accuracy: 0.8177, prior_entropy: 0.7087, recall: 0.8177, relative_absolute_error: 0.584, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4269, root_relative_squared_error: 1.0808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5309, f_measure: 0.7465, kappa: 0.0927, kb_relative_information_score: 0.2855, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7732, predictive_accuracy: 0.811, prior_entropy: 0.7087, recall: 0.811, relative_absolute_error: 0.6055, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4347, root_relative_squared_error: 1.1005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5595, f_measure: 0.7663, kappa: 0.1673, kb_relative_information_score: 0.3011, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7809, predictive_accuracy: 0.8152, prior_entropy: 0.7087, recall: 0.8152, relative_absolute_error: 0.5922, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4299, root_relative_squared_error: 1.0884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5096, f_measure: 0.729, kappa: 0.0306, kb_relative_information_score: 0.2789, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7997, predictive_accuracy: 0.8093, prior_entropy: 0.7087, recall: 0.8093, relative_absolute_error: 0.611, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4367, root_relative_squared_error: 1.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5062, f_measure: 0.7259, kappa: 0.0198, kb_relative_information_score: 0.2754, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8025, predictive_accuracy: 0.8084, prior_entropy: 0.7087, recall: 0.8084, relative_absolute_error: 0.614, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4378, root_relative_squared_error: 1.1082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5159, f_measure: 0.7345, kappa: 0.0498, kb_relative_information_score: 0.283, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7889, predictive_accuracy: 0.8104, prior_entropy: 0.7087, recall: 0.8104, relative_absolute_error: 0.6075, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4355, root_relative_squared_error: 1.1023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5306, f_measure: 0.7463, kappa: 0.092, kb_relative_information_score: 0.2886, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7781, predictive_accuracy: 0.8119, prior_entropy: 0.7087, recall: 0.8119, relative_absolute_error: 0.6028, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4338, root_relative_squared_error: 1.0981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5731, f_measure: 0.7664, kappa: 0.1841, kb_relative_information_score: 0.2354, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7579, predictive_accuracy: 0.7978, prior_entropy: 0.7087, recall: 0.7978, relative_absolute_error: 0.6478, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4497, root_relative_squared_error: 1.1383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5613, f_measure: 0.7626, kappa: 0.1621, kb_relative_information_score: 0.2518, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7577, predictive_accuracy: 0.8021, prior_entropy: 0.7087, recall: 0.8021, relative_absolute_error: 0.634, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4448, root_relative_squared_error: 1.1261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5262, f_measure: 0.7431, kappa: 0.0801, kb_relative_information_score: 0.2896, mean_absolute_error: 0.1879, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7848, predictive_accuracy: 0.8121, prior_entropy: 0.7087, recall: 0.8121, relative_absolute_error: 0.6019, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4334, root_relative_squared_error: 1.0973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5079, f_measure: 0.7274, kappa: 0.0252, kb_relative_information_score: 0.2771, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8007, predictive_accuracy: 0.8088, prior_entropy: 0.7087, recall: 0.8088, relative_absolute_error: 0.6125, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4372, root_relative_squared_error: 1.1069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2684, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4399, root_relative_squared_error: 1.1135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.7554, kappa: 0.1284, kb_relative_information_score: 0.2709, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7606, predictive_accuracy: 0.8072, prior_entropy: 0.7087, recall: 0.8072, relative_absolute_error: 0.6178, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4391, root_relative_squared_error: 1.1117,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

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

OpenML APIs