OpenML
Supervised Classification on pc4

Supervised Classification on pc4

Task 3902 Supervised Classification pc4 112802 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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112802 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.8663, kappa: 0.4038, kb_relative_information_score: 0.1634, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8732, predictive_accuracy: 0.8608, prior_entropy: 0.5353, recall: 0.8608, relative_absolute_error: 0.6483, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3731, root_relative_squared_error: 1.1398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6678, f_measure: 0.8965, kappa: 0.4543, kb_relative_information_score: 0.4807, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9103, predictive_accuracy: 0.9136, prior_entropy: 0.5353, recall: 0.9136, relative_absolute_error: 0.4024, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.294, root_relative_squared_error: 0.8979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2664, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5353, recall: 0.8779, relative_absolute_error: 0.5685, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3494, root_relative_squared_error: 1.0673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6445, f_measure: 0.875, kappa: 0.3594, kb_relative_information_score: 0.3365, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8716, predictive_accuracy: 0.8896, prior_entropy: 0.5353, recall: 0.8896, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3323, root_relative_squared_error: 1.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6662, f_measure: 0.8819, kappa: 0.4013, kb_relative_information_score: 0.3612, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8786, predictive_accuracy: 0.8937, prior_entropy: 0.5353, recall: 0.8937, relative_absolute_error: 0.495, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.9959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6316, f_measure: 0.8714, kappa: 0.3354, kb_relative_information_score: 0.3282, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8684, predictive_accuracy: 0.8882, prior_entropy: 0.5353, recall: 0.8882, relative_absolute_error: 0.5206, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3344, root_relative_squared_error: 1.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5614, f_measure: 0.8539, kappa: 0.1965, kb_relative_information_score: 0.353, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8993, predictive_accuracy: 0.8923, prior_entropy: 0.5353, recall: 0.8923, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3281, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6478, f_measure: 0.8884, kappa: 0.4081, kb_relative_information_score: 0.4478, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9028, predictive_accuracy: 0.9081, prior_entropy: 0.5353, recall: 0.9081, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3032, root_relative_squared_error: 0.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.9006, kappa: 0.484, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9073, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.8978, kappa: 0.5168, kb_relative_information_score: 0.3942, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8966, predictive_accuracy: 0.8992, prior_entropy: 0.5353, recall: 0.8992, relative_absolute_error: 0.4695, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.9699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5817, f_measure: 0.8189, kappa: 0.1611, kb_relative_information_score: -0.0962, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8202, predictive_accuracy: 0.8176, prior_entropy: 0.5353, recall: 0.8176, relative_absolute_error: 0.8495, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4271, root_relative_squared_error: 1.3047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.8834, kappa: 0.3761, kb_relative_information_score: 0.4354, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9031, predictive_accuracy: 0.906, prior_entropy: 0.5353, recall: 0.906, relative_absolute_error: 0.4375, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3065, root_relative_squared_error: 0.9363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5883, f_measure: 0.8657, kappa: 0.269, kb_relative_information_score: 0.3818, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8963, predictive_accuracy: 0.8971, prior_entropy: 0.5353, recall: 0.8971, relative_absolute_error: 0.4791, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.9797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6758, f_measure: 0.8865, kappa: 0.4244, kb_relative_information_score: 0.3859, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.884, predictive_accuracy: 0.8978, prior_entropy: 0.5353, recall: 0.8978, relative_absolute_error: 0.4759, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.9765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7342, f_measure: 0.8953, kappa: 0.4973, kb_relative_information_score: 0.3901, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8929, predictive_accuracy: 0.8985, prior_entropy: 0.5353, recall: 0.8985, relative_absolute_error: 0.4727, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.9732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7253, f_measure: 0.8952, kappa: 0.491, kb_relative_information_score: 0.3983, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8924, predictive_accuracy: 0.8999, prior_entropy: 0.5353, recall: 0.8999, relative_absolute_error: 0.4663, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.9666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7217, f_measure: 0.8963, kappa: 0.4921, kb_relative_information_score: 0.4107, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8934, predictive_accuracy: 0.9019, prior_entropy: 0.5353, recall: 0.9019, relative_absolute_error: 0.4567, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.9566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2664, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5353, recall: 0.8779, relative_absolute_error: 0.5685, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3494, root_relative_squared_error: 1.0673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2664, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5353, recall: 0.8779, relative_absolute_error: 0.5685, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3494, root_relative_squared_error: 1.0673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6679, f_measure: 0.8935, kappa: 0.4429, kb_relative_information_score: 0.456, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9012, predictive_accuracy: 0.9095, prior_entropy: 0.5353, recall: 0.9095, relative_absolute_error: 0.4216, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.9191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6908, f_measure: 0.8991, kappa: 0.4805, kb_relative_information_score: 0.4684, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9023, predictive_accuracy: 0.9115, prior_entropy: 0.5353, recall: 0.9115, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.9086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5165, f_measure: 0.8302, kappa: 0.0561, kb_relative_information_score: 0.287, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8785, predictive_accuracy: 0.8813, prior_entropy: 0.5353, recall: 0.8813, relative_absolute_error: 0.5525, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3445, root_relative_squared_error: 1.0522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6212, f_measure: 0.8683, kappa: 0.3146, kb_relative_information_score: 0.32, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8655, predictive_accuracy: 0.8868, prior_entropy: 0.5353, recall: 0.8868, relative_absolute_error: 0.527, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3364, root_relative_squared_error: 1.0276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6799, f_measure: 0.8832, kappa: 0.4173, kb_relative_information_score: 0.353, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8793, predictive_accuracy: 0.8923, prior_entropy: 0.5353, recall: 0.8923, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3281, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, f_measure: 0.8942, kappa: 0.4443, kb_relative_information_score: 0.4642, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9043, predictive_accuracy: 0.9108, prior_entropy: 0.5353, recall: 0.9108, relative_absolute_error: 0.4152, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.9121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5712, f_measure: 0.8185, kappa: 0.1452, kb_relative_information_score: -0.0798, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8168, predictive_accuracy: 0.8203, prior_entropy: 0.5353, recall: 0.8203, relative_absolute_error: 0.8368, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4239, root_relative_squared_error: 1.2948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.897, kappa: 0.4641, kb_relative_information_score: 0.4684, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9035, predictive_accuracy: 0.9115, prior_entropy: 0.5353, recall: 0.9115, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.9086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5968, f_measure: 0.8695, kappa: 0.2915, kb_relative_information_score: 0.3942, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.899, predictive_accuracy: 0.8992, prior_entropy: 0.5353, recall: 0.8992, relative_absolute_error: 0.4695, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.9699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6293, f_measure: 0.8822, kappa: 0.3693, kb_relative_information_score: 0.4313, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9023, predictive_accuracy: 0.9053, prior_entropy: 0.5353, recall: 0.9053, relative_absolute_error: 0.4407, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.9397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, f_measure: 0.8979, kappa: 0.4648, kb_relative_information_score: 0.4807, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9083, predictive_accuracy: 0.9136, prior_entropy: 0.5353, recall: 0.9136, relative_absolute_error: 0.4024, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.294, root_relative_squared_error: 0.8979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5137, f_measure: 0.8286, kappa: 0.0468, kb_relative_information_score: 0.2829, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8751, predictive_accuracy: 0.8807, prior_entropy: 0.5353, recall: 0.8807, relative_absolute_error: 0.5557, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3455, root_relative_squared_error: 1.0552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5832, f_measure: 0.8496, kappa: 0.2166, kb_relative_information_score: 0.2252, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8409, predictive_accuracy: 0.8711, prior_entropy: 0.5353, recall: 0.8711, relative_absolute_error: 0.6004, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3591, root_relative_squared_error: 1.0968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7037, f_measure: 0.8535, kappa: 0.3604, kb_relative_information_score: 0.0686, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8647, predictive_accuracy: 0.845, prior_entropy: 0.5353, recall: 0.845, relative_absolute_error: 0.7218, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3937, root_relative_squared_error: 1.2026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5915, f_measure: 0.8675, kappa: 0.2788, kb_relative_information_score: 0.3901, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9003, predictive_accuracy: 0.8985, prior_entropy: 0.5353, recall: 0.8985, relative_absolute_error: 0.4727, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.9732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, f_measure: 0.817, kappa: 0.1536, kb_relative_information_score: -0.1086, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8186, predictive_accuracy: 0.8155, prior_entropy: 0.5353, recall: 0.8155, relative_absolute_error: 0.8591, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4295, root_relative_squared_error: 1.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6635, f_measure: 0.8931, kappa: 0.4382, kb_relative_information_score: 0.4601, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9035, predictive_accuracy: 0.9102, prior_entropy: 0.5353, recall: 0.9102, relative_absolute_error: 0.4184, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5385, f_measure: 0.8349, kappa: 0.1118, kb_relative_information_score: 0.2128, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8231, predictive_accuracy: 0.869, prior_entropy: 0.5353, recall: 0.869, relative_absolute_error: 0.61, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3619, root_relative_squared_error: 1.1056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.523, f_measure: 0.8315, kappa: 0.0736, kb_relative_information_score: 0.2541, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8282, predictive_accuracy: 0.8759, prior_entropy: 0.5353, recall: 0.8759, relative_absolute_error: 0.5781, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3523, root_relative_squared_error: 1.0762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5353, f_measure: 0.8401, kappa: 0.1162, kb_relative_information_score: 0.3076, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8767, predictive_accuracy: 0.8848, prior_entropy: 0.5353, recall: 0.8848, relative_absolute_error: 0.5366, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3395, root_relative_squared_error: 1.0369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.762, f_measure: 0.8999, kappa: 0.5304, kb_relative_information_score: 0.4024, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8994, predictive_accuracy: 0.9005, prior_entropy: 0.5353, recall: 0.9005, relative_absolute_error: 0.4631, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3154, root_relative_squared_error: 0.9633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6422, f_measure: 0.8862, kappa: 0.3952, kb_relative_information_score: 0.4395, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9011, predictive_accuracy: 0.9067, prior_entropy: 0.5353, recall: 0.9067, relative_absolute_error: 0.4344, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3054, root_relative_squared_error: 0.9329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6209, f_measure: 0.8788, kappa: 0.3489, kb_relative_information_score: 0.4189, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8996, predictive_accuracy: 0.9033, prior_entropy: 0.5353, recall: 0.9033, relative_absolute_error: 0.4503, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.311, root_relative_squared_error: 0.9499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4774, f_measure: 0.7732, kappa: -0.0441, kb_relative_information_score: -0.3806, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7762, predictive_accuracy: 0.7702, prior_entropy: 0.5353, recall: 0.7702, relative_absolute_error: 1.0699, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4793, root_relative_squared_error: 1.4642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6405, f_measure: 0.8868, kappa: 0.396, kb_relative_information_score: 0.4478, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9056, predictive_accuracy: 0.9081, prior_entropy: 0.5353, recall: 0.9081, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3032, root_relative_squared_error: 0.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6164, f_measure: 0.878, kappa: 0.342, kb_relative_information_score: 0.423, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9048, predictive_accuracy: 0.904, prior_entropy: 0.5353, recall: 0.904, relative_absolute_error: 0.4471, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.9465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5869, f_measure: 0.8202, kappa: 0.1702, kb_relative_information_score: -0.0921, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8221, predictive_accuracy: 0.8182, prior_entropy: 0.5353, recall: 0.8182, relative_absolute_error: 0.8464, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4263, root_relative_squared_error: 1.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.752, f_measure: 0.8952, kappa: 0.5089, kb_relative_information_score: 0.3736, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8947, predictive_accuracy: 0.8957, prior_entropy: 0.5353, recall: 0.8957, relative_absolute_error: 0.4855, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.9862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, f_measure: 0.9004, kappa: 0.4847, kb_relative_information_score: 0.4807, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9058, predictive_accuracy: 0.9136, prior_entropy: 0.5353, recall: 0.9136, relative_absolute_error: 0.4024, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.294, root_relative_squared_error: 0.8979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.8862, kappa: 0.4374, kb_relative_information_score: 0.3612, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8825, predictive_accuracy: 0.8937, prior_entropy: 0.5353, recall: 0.8937, relative_absolute_error: 0.495, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.9959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6738, f_measure: 0.8837, kappa: 0.4137, kb_relative_information_score: 0.3653, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8803, predictive_accuracy: 0.8944, prior_entropy: 0.5353, recall: 0.8944, relative_absolute_error: 0.4918, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.325, root_relative_squared_error: 0.9927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6758, f_measure: 0.8865, kappa: 0.4244, kb_relative_information_score: 0.3859, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.884, predictive_accuracy: 0.8978, prior_entropy: 0.5353, recall: 0.8978, relative_absolute_error: 0.4759, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.9765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7362, f_measure: 0.895, kappa: 0.4978, kb_relative_information_score: 0.3859, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8929, predictive_accuracy: 0.8978, prior_entropy: 0.5353, recall: 0.8978, relative_absolute_error: 0.4759, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.9765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6803, f_measure: 0.8517, kappa: 0.3348, kb_relative_information_score: 0.0768, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8581, predictive_accuracy: 0.8464, prior_entropy: 0.5353, recall: 0.8464, relative_absolute_error: 0.7154, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.392, root_relative_squared_error: 1.1973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5084, f_measure: 0.8258, kappa: 0.0292, kb_relative_information_score: 0.2788, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8944, predictive_accuracy: 0.88, prior_entropy: 0.5353, recall: 0.88, relative_absolute_error: 0.5589, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3464, root_relative_squared_error: 1.0582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6961, f_measure: 0.8973, kappa: 0.4778, kb_relative_information_score: 0.4478, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8974, predictive_accuracy: 0.9081, prior_entropy: 0.5353, recall: 0.9081, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3032, root_relative_squared_error: 0.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6674, f_measure: 0.8959, kappa: 0.4518, kb_relative_information_score: 0.4766, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9087, predictive_accuracy: 0.9129, prior_entropy: 0.5353, recall: 0.9129, relative_absolute_error: 0.4056, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.9015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.508, f_measure: 0.8254, kappa: 0.0277, kb_relative_information_score: 0.2747, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8638, predictive_accuracy: 0.8793, prior_entropy: 0.5353, recall: 0.8793, relative_absolute_error: 0.5621, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3474, root_relative_squared_error: 1.0613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.8979, kappa: 0.4756, kb_relative_information_score: 0.4601, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9002, predictive_accuracy: 0.9102, prior_entropy: 0.5353, recall: 0.9102, relative_absolute_error: 0.4184, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.8945, kappa: 0.4553, kb_relative_information_score: 0.4478, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8976, predictive_accuracy: 0.9081, prior_entropy: 0.5353, recall: 0.9081, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3032, root_relative_squared_error: 0.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6748, f_measure: 0.8942, kappa: 0.451, kb_relative_information_score: 0.4519, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.899, predictive_accuracy: 0.9088, prior_entropy: 0.5353, recall: 0.9088, relative_absolute_error: 0.4248, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.302, root_relative_squared_error: 0.9225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.661, f_measure: 0.8926, kappa: 0.4345, kb_relative_information_score: 0.4601, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.904, predictive_accuracy: 0.9102, prior_entropy: 0.5353, recall: 0.9102, relative_absolute_error: 0.4184, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6566, f_measure: 0.8922, kappa: 0.4295, kb_relative_information_score: 0.4642, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.907, predictive_accuracy: 0.9108, prior_entropy: 0.5353, recall: 0.9108, relative_absolute_error: 0.4152, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.9121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5141, f_measure: 0.8279, kappa: 0.047, kb_relative_information_score: 0.2623, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8298, predictive_accuracy: 0.8772, prior_entropy: 0.5353, recall: 0.8772, relative_absolute_error: 0.5717, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3504, root_relative_squared_error: 1.0703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5097, f_measure: 0.8259, kappa: 0.0329, kb_relative_information_score: 0.2664, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8336, predictive_accuracy: 0.8779, prior_entropy: 0.5353, recall: 0.8779, relative_absolute_error: 0.5685, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3494, root_relative_squared_error: 1.0673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6546, f_measure: 0.8774, kappa: 0.3765, kb_relative_information_score: 0.3406, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8737, predictive_accuracy: 0.8903, prior_entropy: 0.5353, recall: 0.8903, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3313, root_relative_squared_error: 1.0119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7142, f_measure: 0.9047, kappa: 0.5171, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9055, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, f_measure: 0.8844, kappa: 0.427, kb_relative_information_score: 0.353, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8805, predictive_accuracy: 0.8923, prior_entropy: 0.5353, recall: 0.8923, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3281, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7226, f_measure: 0.8913, kappa: 0.4763, kb_relative_information_score: 0.3695, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8886, predictive_accuracy: 0.8951, prior_entropy: 0.5353, recall: 0.8951, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.9895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2664, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5353, recall: 0.8779, relative_absolute_error: 0.5685, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3494, root_relative_squared_error: 1.0673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.8546, kappa: 0.3633, kb_relative_information_score: 0.0768, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8653, predictive_accuracy: 0.8464, prior_entropy: 0.5353, recall: 0.8464, relative_absolute_error: 0.7154, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.392, root_relative_squared_error: 1.1973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6945, f_measure: 0.8981, kappa: 0.4795, kb_relative_information_score: 0.456, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8992, predictive_accuracy: 0.9095, prior_entropy: 0.5353, recall: 0.9095, relative_absolute_error: 0.4216, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.9191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6353, f_measure: 0.8851, kappa: 0.3852, kb_relative_information_score: 0.4436, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.906, predictive_accuracy: 0.9074, prior_entropy: 0.5353, recall: 0.9074, relative_absolute_error: 0.4312, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5189, f_measure: 0.8314, kappa: 0.0639, kb_relative_information_score: 0.287, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8693, predictive_accuracy: 0.8813, prior_entropy: 0.5353, recall: 0.8813, relative_absolute_error: 0.5525, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3445, root_relative_squared_error: 1.0522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7403, f_measure: 0.8788, kappa: 0.4521, kb_relative_information_score: 0.2499, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8832, predictive_accuracy: 0.8752, prior_entropy: 0.5353, recall: 0.8752, relative_absolute_error: 0.5813, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3533, root_relative_squared_error: 1.0792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, f_measure: 0.9002, kappa: 0.4854, kb_relative_information_score: 0.4766, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9045, predictive_accuracy: 0.9129, prior_entropy: 0.5353, recall: 0.9129, relative_absolute_error: 0.4056, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.9015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.8933, kappa: 0.4358, kb_relative_information_score: 0.4684, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9079, predictive_accuracy: 0.9115, prior_entropy: 0.5353, recall: 0.9115, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.9086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.653, f_measure: 0.89, kappa: 0.4183, kb_relative_information_score: 0.4519, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.903, predictive_accuracy: 0.9088, prior_entropy: 0.5353, recall: 0.9088, relative_absolute_error: 0.4248, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.302, root_relative_squared_error: 0.9225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6711, f_measure: 0.8951, kappa: 0.4514, kb_relative_information_score: 0.4642, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9034, predictive_accuracy: 0.9108, prior_entropy: 0.5353, recall: 0.9108, relative_absolute_error: 0.4152, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.9121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5197, f_measure: 0.831, kappa: 0.0652, kb_relative_information_score: 0.2705, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8396, predictive_accuracy: 0.8786, prior_entropy: 0.5353, recall: 0.8786, relative_absolute_error: 0.5653, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3484, root_relative_squared_error: 1.0643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.9004, kappa: 0.5008, kb_relative_information_score: 0.4519, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8989, predictive_accuracy: 0.9088, prior_entropy: 0.5353, recall: 0.9088, relative_absolute_error: 0.4248, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.302, root_relative_squared_error: 0.9225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7414, f_measure: 0.8993, kappa: 0.5152, kb_relative_information_score: 0.4148, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8969, predictive_accuracy: 0.9026, prior_entropy: 0.5353, recall: 0.9026, relative_absolute_error: 0.4535, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3121, root_relative_squared_error: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.9026, kappa: 0.4996, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.906, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6013, f_measure: 0.8679, kappa: 0.2913, kb_relative_information_score: 0.3653, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8797, predictive_accuracy: 0.8944, prior_entropy: 0.5353, recall: 0.8944, relative_absolute_error: 0.4918, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.325, root_relative_squared_error: 0.9927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5638, f_measure: 0.8548, kappa: 0.2026, kb_relative_information_score: 0.353, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8953, predictive_accuracy: 0.8923, prior_entropy: 0.5353, recall: 0.8923, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3281, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.688, f_measure: 0.9012, kappa: 0.4865, kb_relative_information_score: 0.489, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9086, predictive_accuracy: 0.915, prior_entropy: 0.5353, recall: 0.915, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.8908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.645, f_measure: 0.8873, kappa: 0.4016, kb_relative_information_score: 0.4436, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.902, predictive_accuracy: 0.9074, prior_entropy: 0.5353, recall: 0.9074, relative_absolute_error: 0.4312, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6401, f_measure: 0.8862, kappa: 0.3935, kb_relative_information_score: 0.4436, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9037, predictive_accuracy: 0.9074, prior_entropy: 0.5353, recall: 0.9074, relative_absolute_error: 0.4312, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5638, f_measure: 0.8548, kappa: 0.2026, kb_relative_information_score: 0.353, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8953, predictive_accuracy: 0.8923, prior_entropy: 0.5353, recall: 0.8923, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3281, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5666, f_measure: 0.8561, kappa: 0.2107, kb_relative_information_score: 0.3571, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8962, predictive_accuracy: 0.893, prior_entropy: 0.5353, recall: 0.893, relative_absolute_error: 0.4982, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6599, f_measure: 0.8909, kappa: 0.4272, kb_relative_information_score: 0.4478, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8998, predictive_accuracy: 0.9081, prior_entropy: 0.5353, recall: 0.9081, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3032, root_relative_squared_error: 0.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6522, f_measure: 0.8889, kappa: 0.4134, kb_relative_information_score: 0.4436, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8999, predictive_accuracy: 0.9074, prior_entropy: 0.5353, recall: 0.9074, relative_absolute_error: 0.4312, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5121, f_measure: 0.8271, kappa: 0.0407, kb_relative_information_score: 0.2664, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8341, predictive_accuracy: 0.8779, prior_entropy: 0.5353, recall: 0.8779, relative_absolute_error: 0.5685, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3494, root_relative_squared_error: 1.0673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7154, f_measure: 0.9033, kappa: 0.5127, kb_relative_information_score: 0.4725, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9029, predictive_accuracy: 0.9122, prior_entropy: 0.5353, recall: 0.9122, relative_absolute_error: 0.4088, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.9032, kappa: 0.5021, kb_relative_information_score: 0.489, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9071, predictive_accuracy: 0.915, prior_entropy: 0.5353, recall: 0.915, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.8908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6972, f_measure: 0.9022, kappa: 0.4966, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9062, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6748, f_measure: 0.8942, kappa: 0.451, kb_relative_information_score: 0.4519, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.899, predictive_accuracy: 0.9088, prior_entropy: 0.5353, recall: 0.9088, relative_absolute_error: 0.4248, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.302, root_relative_squared_error: 0.9225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7026, f_measure: 0.8973, kappa: 0.4822, kb_relative_information_score: 0.4395, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.896, predictive_accuracy: 0.9067, prior_entropy: 0.5353, recall: 0.9067, relative_absolute_error: 0.4344, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3054, root_relative_squared_error: 0.9329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6972, f_measure: 0.9022, kappa: 0.4966, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9062, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5297, f_measure: 0.8371, kappa: 0.0985, kb_relative_information_score: 0.2994, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8723, predictive_accuracy: 0.8834, prior_entropy: 0.5353, recall: 0.8834, relative_absolute_error: 0.5429, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3415, root_relative_squared_error: 1.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5028, f_measure: 0.8225, kappa: 0.0098, kb_relative_information_score: 0.2705, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8933, predictive_accuracy: 0.8786, prior_entropy: 0.5353, recall: 0.8786, relative_absolute_error: 0.5653, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3484, root_relative_squared_error: 1.0643,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs