Task
Supervised Classification on churn

Supervised Classification on churn

Task 146227 Supervised Classification churn 2049 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.9413, kappa: 0.7462, kb_relative_information_score: 2828.8433, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9429, predictive_accuracy: 0.9446, prior_entropy: 0.5883, recall: 0.9446, relative_absolute_error: 0.4196, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.6161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.9494, kappa: 0.7833, kb_relative_information_score: 3123.6706, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9502, predictive_accuracy: 0.9516, prior_entropy: 0.5883, recall: 0.9516, relative_absolute_error: 0.3652, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.5784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.9469, kappa: 0.7715, kb_relative_information_score: 2875.4455, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.948, predictive_accuracy: 0.9494, prior_entropy: 0.5883, recall: 0.9494, relative_absolute_error: 0.4179, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.5995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.9052, kappa: 0.5678, kb_relative_information_score: 1769.6945, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9198, predictive_accuracy: 0.918, prior_entropy: 0.5883, recall: 0.918, relative_absolute_error: 0.6407, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.7161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.94, kappa: 0.7397, kb_relative_information_score: 2620.2022, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.942, predictive_accuracy: 0.9436, prior_entropy: 0.5883, recall: 0.9436, relative_absolute_error: 0.4697, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.218, root_relative_squared_error: 0.6258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.9412, kappa: 0.7446, kb_relative_information_score: 2712.7557, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9435, predictive_accuracy: 0.9448, prior_entropy: 0.5883, recall: 0.9448, relative_absolute_error: 0.4484, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.6208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.9468, kappa: 0.7719, kb_relative_information_score: 3036.043, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9476, predictive_accuracy: 0.9492, prior_entropy: 0.5883, recall: 0.9492, relative_absolute_error: 0.3804, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.5926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.9499, kappa: 0.785, kb_relative_information_score: 3158.6466, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.951, predictive_accuracy: 0.9522, prior_entropy: 0.5883, recall: 0.9522, relative_absolute_error: 0.357, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.5726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9485, kappa: 0.7794, kb_relative_information_score: 3103.2497, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9494, predictive_accuracy: 0.9508, prior_entropy: 0.5883, recall: 0.9508, relative_absolute_error: 0.3685, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.5812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.938, kappa: 0.7355, kb_relative_information_score: 2862.4805, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9379, predictive_accuracy: 0.9404, prior_entropy: 0.5883, recall: 0.9404, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.6454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.9524, kappa: 0.7966, kb_relative_information_score: 3207.7735, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9532, predictive_accuracy: 0.9544, prior_entropy: 0.5883, recall: 0.9544, relative_absolute_error: 0.35, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.5636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.946, kappa: 0.7676, kb_relative_information_score: 2954.4841, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9471, predictive_accuracy: 0.9486, prior_entropy: 0.5883, recall: 0.9486, relative_absolute_error: 0.3942, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.5996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.9498, kappa: 0.7841, kb_relative_information_score: 3077.2161, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9511, predictive_accuracy: 0.9522, prior_entropy: 0.5883, recall: 0.9522, relative_absolute_error: 0.3686, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.5822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.952, kappa: 0.7951, kb_relative_information_score: 3121.6196, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9528, predictive_accuracy: 0.954, prior_entropy: 0.5883, recall: 0.954, relative_absolute_error: 0.3624, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.5758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.9424, kappa: 0.7495, kb_relative_information_score: 2615.9118, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.945, predictive_accuracy: 0.946, prior_entropy: 0.5883, recall: 0.946, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.6181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.9437, kappa: 0.7576, kb_relative_information_score: 2919.6271, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.945, predictive_accuracy: 0.9466, prior_entropy: 0.5883, recall: 0.9466, relative_absolute_error: 0.4023, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.6049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.9507, kappa: 0.788, kb_relative_information_score: 3082.1193, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.952, predictive_accuracy: 0.953, prior_entropy: 0.5883, recall: 0.953, relative_absolute_error: 0.3671, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.5772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.9474, kappa: 0.7762, kb_relative_information_score: 3165.1098, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9475, predictive_accuracy: 0.9492, prior_entropy: 0.5883, recall: 0.9492, relative_absolute_error: 0.3415, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.5864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.9509, kappa: 0.7897, kb_relative_information_score: 3102.9259, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9518, predictive_accuracy: 0.953, prior_entropy: 0.5883, recall: 0.953, relative_absolute_error: 0.3653, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.5792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.9388, kappa: 0.7336, kb_relative_information_score: 2551.9395, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9415, predictive_accuracy: 0.9428, prior_entropy: 0.5883, recall: 0.9428, relative_absolute_error: 0.4874, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.6295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.9371, kappa: 0.7243, kb_relative_information_score: 2331.0733, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9407, predictive_accuracy: 0.9416, prior_entropy: 0.5883, recall: 0.9416, relative_absolute_error: 0.5227, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.6498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.9395, kappa: 0.7401, kb_relative_information_score: 2914.7673, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9401, predictive_accuracy: 0.9424, prior_entropy: 0.5883, recall: 0.9424, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.6294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.9479, kappa: 0.7785, kb_relative_information_score: 3179.4265, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9481, predictive_accuracy: 0.9498, prior_entropy: 0.5883, recall: 0.9498, relative_absolute_error: 0.3305, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.5927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.941, kappa: 0.7454, kb_relative_information_score: 2905.4036, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9424, predictive_accuracy: 0.9442, prior_entropy: 0.5883, recall: 0.9442, relative_absolute_error: 0.4017, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.6109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.936, kappa: 0.7266, kb_relative_information_score: 2735.0754, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9359, predictive_accuracy: 0.9386, prior_entropy: 0.5883, recall: 0.9386, relative_absolute_error: 0.3856, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.6655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.9473, kappa: 0.7726, kb_relative_information_score: 2848.5579, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9488, predictive_accuracy: 0.95, prior_entropy: 0.5883, recall: 0.95, relative_absolute_error: 0.4263, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.5976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.9245, kappa: 0.6914, kb_relative_information_score: 2674.7505, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9251, predictive_accuracy: 0.924, prior_entropy: 0.5883, recall: 0.924, relative_absolute_error: 0.3565, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2607, root_relative_squared_error: 0.7483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.9419, kappa: 0.7499, kb_relative_information_score: 2892.2561, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9429, predictive_accuracy: 0.9448, prior_entropy: 0.5883, recall: 0.9448, relative_absolute_error: 0.4081, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.6098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.9331, kappa: 0.7043, kb_relative_information_score: 2217.4341, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9388, predictive_accuracy: 0.9388, prior_entropy: 0.5883, recall: 0.9388, relative_absolute_error: 0.5557, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.6631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.9464, kappa: 0.7701, kb_relative_information_score: 2972.7858, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9472, predictive_accuracy: 0.9488, prior_entropy: 0.5883, recall: 0.9488, relative_absolute_error: 0.3965, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.5961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.9405, kappa: 0.7413, kb_relative_information_score: 2557.3128, mean_absolute_error: 0.1171, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9429, predictive_accuracy: 0.9442, prior_entropy: 0.5883, recall: 0.9442, relative_absolute_error: 0.4821, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.6272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.9406, kappa: 0.7417, kb_relative_information_score: 2519.2913, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9432, predictive_accuracy: 0.9444, prior_entropy: 0.5883, recall: 0.9444, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2213, root_relative_squared_error: 0.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.9406, kappa: 0.7438, kb_relative_information_score: 2859.473, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9416, predictive_accuracy: 0.9436, prior_entropy: 0.5883, recall: 0.9436, relative_absolute_error: 0.4099, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.6169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.9422, kappa: 0.7493, kb_relative_information_score: 2696.6326, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9443, predictive_accuracy: 0.9456, prior_entropy: 0.5883, recall: 0.9456, relative_absolute_error: 0.4582, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.6152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.9415, kappa: 0.747, kb_relative_information_score: 2842.1614, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9432, predictive_accuracy: 0.9448, prior_entropy: 0.5883, recall: 0.9448, relative_absolute_error: 0.4154, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.6175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.9408, kappa: 0.7458, kb_relative_information_score: 2918.4545, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9415, predictive_accuracy: 0.9436, prior_entropy: 0.5883, recall: 0.9436, relative_absolute_error: 0.3874, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.6243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.91, kappa: 0.5926, kb_relative_information_score: 1789.2575, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9214, predictive_accuracy: 0.921, prior_entropy: 0.5883, recall: 0.921, relative_absolute_error: 0.629, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.248, root_relative_squared_error: 0.7116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.9449, kappa: 0.7603, kb_relative_information_score: 2536.3255, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9479, predictive_accuracy: 0.9484, prior_entropy: 0.5883, recall: 0.9484, relative_absolute_error: 0.4968, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.215, root_relative_squared_error: 0.6171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.7947, kappa: 0.0073, kb_relative_information_score: 790.3421, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.879, predictive_accuracy: 0.8592, prior_entropy: 0.5883, recall: 0.8592, relative_absolute_error: 0.8352, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.298, root_relative_squared_error: 0.8552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.8, kappa: 0.0335, kb_relative_information_score: 1023.4134, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8807, predictive_accuracy: 0.8614, prior_entropy: 0.5883, recall: 0.8614, relative_absolute_error: 0.8057, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2907, root_relative_squared_error: 0.8344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.9475, kappa: 0.7748, kb_relative_information_score: 3126.3723, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9483, predictive_accuracy: 0.9498, prior_entropy: 0.5883, recall: 0.9498, relative_absolute_error: 0.3621, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.5781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.9505, kappa: 0.7881, kb_relative_information_score: 3095.5586, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9513, predictive_accuracy: 0.9526, prior_entropy: 0.5883, recall: 0.9526, relative_absolute_error: 0.3707, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.5782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8297, kappa: 0.1839, kb_relative_information_score: 1035.1218, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8909, predictive_accuracy: 0.875, prior_entropy: 0.5883, recall: 0.875, relative_absolute_error: 0.7816, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2848, root_relative_squared_error: 0.8174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.9483, kappa: 0.7794, kb_relative_information_score: 3108.6418, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9486, predictive_accuracy: 0.9502, prior_entropy: 0.5883, recall: 0.9502, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.5953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.9416, kappa: 0.75, kb_relative_information_score: 2979.4013, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9421, predictive_accuracy: 0.9442, prior_entropy: 0.5883, recall: 0.9442, relative_absolute_error: 0.3692, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.216, root_relative_squared_error: 0.6198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.9459, kappa: 0.7677, kb_relative_information_score: 3011.7304, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9468, predictive_accuracy: 0.9484, prior_entropy: 0.5883, recall: 0.9484, relative_absolute_error: 0.3799, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.5962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.9483, kappa: 0.777, kb_relative_information_score: 2961.7509, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.95, predictive_accuracy: 0.951, prior_entropy: 0.5883, recall: 0.951, relative_absolute_error: 0.4073, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.5879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.9412, kappa: 0.7512, kb_relative_information_score: 2958.3383, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9407, predictive_accuracy: 0.9428, prior_entropy: 0.5883, recall: 0.9428, relative_absolute_error: 0.3369, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.6394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.9466, kappa: 0.7697, kb_relative_information_score: 2988.1091, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9482, predictive_accuracy: 0.9494, prior_entropy: 0.5883, recall: 0.9494, relative_absolute_error: 0.3963, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.5898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, kb_relative_information_score: 648.0285, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, predictive_accuracy: 0.8586, prior_entropy: 0.5883, recall: 0.8586, relative_absolute_error: 0.8699, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3081, root_relative_squared_error: 0.8842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.947, kappa: 0.7717, kb_relative_information_score: 2921.8281, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9483, predictive_accuracy: 0.9496, prior_entropy: 0.5883, recall: 0.9496, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.5946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.9503, kappa: 0.7865, kb_relative_information_score: 2931.5991, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9515, predictive_accuracy: 0.9526, prior_entropy: 0.5883, recall: 0.9526, relative_absolute_error: 0.4071, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.5821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.9497, kappa: 0.7833, kb_relative_information_score: 3031.2797, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9512, predictive_accuracy: 0.9522, prior_entropy: 0.5883, recall: 0.9522, relative_absolute_error: 0.3927, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.5787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.9485, kappa: 0.7788, kb_relative_information_score: 3087.247, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9494, predictive_accuracy: 0.9508, prior_entropy: 0.5883, recall: 0.9508, relative_absolute_error: 0.375, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.201, root_relative_squared_error: 0.5767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9499, kappa: 0.7853, kb_relative_information_score: 3047.5897, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9507, predictive_accuracy: 0.952, prior_entropy: 0.5883, recall: 0.952, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.5816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.946, kappa: 0.7668, kb_relative_information_score: 2820.6813, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9475, predictive_accuracy: 0.9488, prior_entropy: 0.5883, recall: 0.9488, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.6046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.9495, kappa: 0.7832, kb_relative_information_score: 2943.4644, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9506, predictive_accuracy: 0.9518, prior_entropy: 0.5883, recall: 0.9518, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.9273, kappa: 0.6771, kb_relative_information_score: 2058.423, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9337, predictive_accuracy: 0.934, prior_entropy: 0.5883, recall: 0.934, relative_absolute_error: 0.5713, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2363, root_relative_squared_error: 0.6782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.918, kappa: 0.6314, kb_relative_information_score: 1843.1388, mean_absolute_error: 0.1477, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.928, predictive_accuracy: 0.9272, prior_entropy: 0.5883, recall: 0.9272, relative_absolute_error: 0.6081, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2442, root_relative_squared_error: 0.7009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, kb_relative_information_score: 575.5439, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, predictive_accuracy: 0.8586, prior_entropy: 0.5883, recall: 0.8586, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.8912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.9488, kappa: 0.7803, kb_relative_information_score: 3073.1763, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9499, predictive_accuracy: 0.9512, prior_entropy: 0.5883, recall: 0.9512, relative_absolute_error: 0.3786, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.202, root_relative_squared_error: 0.5798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.9532, kappa: 0.8002, kb_relative_information_score: 3217.9453, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9538, predictive_accuracy: 0.955, prior_entropy: 0.5883, recall: 0.955, relative_absolute_error: 0.3467, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.5612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.9497, kappa: 0.7836, kb_relative_information_score: 3070.5355, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9512, predictive_accuracy: 0.9522, prior_entropy: 0.5883, recall: 0.9522, relative_absolute_error: 0.3692, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.5836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.9489, kappa: 0.78, kb_relative_information_score: 2984.2213, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9503, predictive_accuracy: 0.9514, prior_entropy: 0.5883, recall: 0.9514, relative_absolute_error: 0.4014, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.9406, kappa: 0.7429, kb_relative_information_score: 2877.6206, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9423, predictive_accuracy: 0.944, prior_entropy: 0.5883, recall: 0.944, relative_absolute_error: 0.4068, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.6147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.9342, kappa: 0.7173, kb_relative_information_score: 2650.6832, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9343, predictive_accuracy: 0.9372, prior_entropy: 0.5883, recall: 0.9372, relative_absolute_error: 0.3641, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2374, root_relative_squared_error: 0.6812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.9394, kappa: 0.7388, kb_relative_information_score: 2840.6131, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9405, predictive_accuracy: 0.9426, prior_entropy: 0.5883, recall: 0.9426, relative_absolute_error: 0.4123, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.9503, kappa: 0.7868, kb_relative_information_score: 3099.2747, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9514, predictive_accuracy: 0.9526, prior_entropy: 0.5883, recall: 0.9526, relative_absolute_error: 0.3758, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.5762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.9341, kappa: 0.7094, kb_relative_information_score: 2177.8034, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.939, predictive_accuracy: 0.9394, prior_entropy: 0.5883, recall: 0.9394, relative_absolute_error: 0.5519, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.8271, kappa: 0.1708, kb_relative_information_score: 1247.1086, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8881, predictive_accuracy: 0.8736, prior_entropy: 0.5883, recall: 0.8736, relative_absolute_error: 0.7609, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2794, root_relative_squared_error: 0.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.952, kappa: 0.7945, kb_relative_information_score: 3129.7389, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9528, predictive_accuracy: 0.954, prior_entropy: 0.5883, recall: 0.954, relative_absolute_error: 0.3681, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.5754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9429, kappa: 0.7522, kb_relative_information_score: 2711.8408, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9449, predictive_accuracy: 0.9462, prior_entropy: 0.5883, recall: 0.9462, relative_absolute_error: 0.4559, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.6144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.9381, kappa: 0.7281, kb_relative_information_score: 2374.6372, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9425, predictive_accuracy: 0.9428, prior_entropy: 0.5883, recall: 0.9428, relative_absolute_error: 0.5286, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.6393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.9425, kappa: 0.7516, kb_relative_information_score: 2862.738, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.944, predictive_accuracy: 0.9456, prior_entropy: 0.5883, recall: 0.9456, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.6089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8666, kappa: 0.372, kb_relative_information_score: 1294.1356, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9014, predictive_accuracy: 0.894, prior_entropy: 0.5883, recall: 0.894, relative_absolute_error: 0.727, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.7739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.9395, kappa: 0.7375, kb_relative_information_score: 2703.9538, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9416, predictive_accuracy: 0.9432, prior_entropy: 0.5883, recall: 0.9432, relative_absolute_error: 0.4449, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.6317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.9354, kappa: 0.7238, kb_relative_information_score: 2689.2168, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9352, predictive_accuracy: 0.938, prior_entropy: 0.5883, recall: 0.938, relative_absolute_error: 0.3864, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.6689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.943, kappa: 0.7558, kb_relative_information_score: 3045.2962, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9436, predictive_accuracy: 0.9456, prior_entropy: 0.5883, recall: 0.9456, relative_absolute_error: 0.3635, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.6039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.9383, kappa: 0.734, kb_relative_information_score: 2949.1445, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9391, predictive_accuracy: 0.9414, prior_entropy: 0.5883, recall: 0.9414, relative_absolute_error: 0.3536, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.6339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.9435, kappa: 0.7607, kb_relative_information_score: 3003.6511, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9432, predictive_accuracy: 0.9452, prior_entropy: 0.5883, recall: 0.9452, relative_absolute_error: 0.3489, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.6158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.9524, kappa: 0.7974, kb_relative_information_score: 3127.8978, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9526, predictive_accuracy: 0.954, prior_entropy: 0.5883, recall: 0.954, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.9383, kappa: 0.734, kb_relative_information_score: 2914.4459, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9391, predictive_accuracy: 0.9414, prior_entropy: 0.5883, recall: 0.9414, relative_absolute_error: 0.3652, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.6355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.9419, kappa: 0.7505, kb_relative_information_score: 2881.6192, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9426, predictive_accuracy: 0.9446, prior_entropy: 0.5883, recall: 0.9446, relative_absolute_error: 0.4101, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.6152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.9403, kappa: 0.7408, kb_relative_information_score: 2763.4871, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9422, predictive_accuracy: 0.9438, prior_entropy: 0.5883, recall: 0.9438, relative_absolute_error: 0.4327, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.6248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.9489, kappa: 0.78, kb_relative_information_score: 2780.1389, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9503, predictive_accuracy: 0.9514, prior_entropy: 0.5883, recall: 0.9514, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.9525, kappa: 0.7966, kb_relative_information_score: 3062.3173, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9536, predictive_accuracy: 0.9546, prior_entropy: 0.5883, recall: 0.9546, relative_absolute_error: 0.3891, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.9375, kappa: 0.7346, kb_relative_information_score: 2990.8599, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9371, predictive_accuracy: 0.9396, prior_entropy: 0.5883, recall: 0.9396, relative_absolute_error: 0.3424, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.222, root_relative_squared_error: 0.6372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.9449, kappa: 0.7629, kb_relative_information_score: 2849.2402, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.946, predictive_accuracy: 0.9476, prior_entropy: 0.5883, recall: 0.9476, relative_absolute_error: 0.4218, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.6054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.8722, kappa: 0.4005, kb_relative_information_score: 1474.7287, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9058, predictive_accuracy: 0.8976, prior_entropy: 0.5883, recall: 0.8976, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.7595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.9488, kappa: 0.7794, kb_relative_information_score: 2831.2087, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9504, predictive_accuracy: 0.9514, prior_entropy: 0.5883, recall: 0.9514, relative_absolute_error: 0.4306, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.5958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.9416, kappa: 0.7467, kb_relative_information_score: 2728.9646, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9436, predictive_accuracy: 0.945, prior_entropy: 0.5883, recall: 0.945, relative_absolute_error: 0.4474, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.6204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.91, kappa: 0.5926, kb_relative_information_score: 1789.2575, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9214, predictive_accuracy: 0.921, prior_entropy: 0.5883, recall: 0.921, relative_absolute_error: 0.629, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.248, root_relative_squared_error: 0.7116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.929, kappa: 0.6843, kb_relative_information_score: 2091.5648, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9365, predictive_accuracy: 0.9358, prior_entropy: 0.5883, recall: 0.9358, relative_absolute_error: 0.5776, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.6712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.9439, kappa: 0.7572, kb_relative_information_score: 2691.9226, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9457, predictive_accuracy: 0.947, prior_entropy: 0.5883, recall: 0.947, relative_absolute_error: 0.4604, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.6125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.9499, kappa: 0.7853, kb_relative_information_score: 2906.4878, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.951, predictive_accuracy: 0.9522, prior_entropy: 0.5883, recall: 0.9522, relative_absolute_error: 0.4179, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.5847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.9464, kappa: 0.7686, kb_relative_information_score: 2817.2858, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.948, predictive_accuracy: 0.9492, prior_entropy: 0.5883, recall: 0.9492, relative_absolute_error: 0.4327, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.6032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.9387, kappa: 0.7368, kb_relative_information_score: 2815.5424, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9392, predictive_accuracy: 0.9416, prior_entropy: 0.5883, recall: 0.9416, relative_absolute_error: 0.3722, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.6479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.9389, kappa: 0.7333, kb_relative_information_score: 2339.6941, mean_absolute_error: 0.1268, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9419, predictive_accuracy: 0.943, prior_entropy: 0.5883, recall: 0.943, relative_absolute_error: 0.5221, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.6496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.9472, kappa: 0.773, kb_relative_information_score: 3014.8729, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9485, predictive_accuracy: 0.9498, prior_entropy: 0.5883, recall: 0.9498, relative_absolute_error: 0.3798, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.5919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.9528, kappa: 0.7978, kb_relative_information_score: 3124.8969, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9537, predictive_accuracy: 0.9548, prior_entropy: 0.5883, recall: 0.9548, relative_absolute_error: 0.3653, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.5697,

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