OpenML
Supervised Classification on electricity

Supervised Classification on electricity

Task 219 Supervised Classification electricity 77839 runs submitted
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  • at2 mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_70 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.8765, kappa: 0.7469, kb_relative_information_score: 0.6548, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8764, predictive_accuracy: 0.8766, prior_entropy: 0.9835, recall: 0.8766, relative_absolute_error: 0.3642, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.5993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.8392, kappa: 0.67, kb_relative_information_score: 0.5462, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8392, predictive_accuracy: 0.8397, prior_entropy: 0.9835, recall: 0.8397, relative_absolute_error: 0.4779, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.336, root_relative_squared_error: 0.6799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9401, kappa: 0.8774, kb_relative_information_score: 0.8094, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9401, predictive_accuracy: 0.9401, prior_entropy: 0.9835, recall: 0.9401, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.4295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9285, kappa: 0.8536, kb_relative_information_score: 0.8215, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9285, predictive_accuracy: 0.9285, prior_entropy: 0.9835, recall: 0.9285, relative_absolute_error: 0.1853, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.4724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8426, kappa: 0.6772, kb_relative_information_score: 0.5668, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8426, predictive_accuracy: 0.843, prior_entropy: 0.9835, recall: 0.843, relative_absolute_error: 0.4545, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3323, root_relative_squared_error: 0.6724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.8445, kappa: 0.6811, kb_relative_information_score: 0.5509, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8445, predictive_accuracy: 0.8449, prior_entropy: 0.9835, recall: 0.8449, relative_absolute_error: 0.475, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.6694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9082, kappa: 0.8121, kb_relative_information_score: 0.7405, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9082, predictive_accuracy: 0.9082, prior_entropy: 0.9835, recall: 0.9082, relative_absolute_error: 0.275, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.5228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.8684, kappa: 0.7302, kb_relative_information_score: 0.5937, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8684, predictive_accuracy: 0.8686, prior_entropy: 0.9835, recall: 0.8686, relative_absolute_error: 0.4341, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.6224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.8367, kappa: 0.6649, kb_relative_information_score: 0.523, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8367, predictive_accuracy: 0.8372, prior_entropy: 0.9835, recall: 0.8372, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.6873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8249, kappa: 0.6406, kb_relative_information_score: 0.5093, mean_absolute_error: 0.2524, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8252, predictive_accuracy: 0.8257, prior_entropy: 0.9835, recall: 0.8257, relative_absolute_error: 0.5165, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.7058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.7903, kappa: 0.5684, kb_relative_information_score: 0.3929, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7983, predictive_accuracy: 0.7946, prior_entropy: 0.9835, recall: 0.7946, relative_absolute_error: 0.6416, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.8399, kappa: 0.6716, kb_relative_information_score: 0.5408, mean_absolute_error: 0.2372, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8399, predictive_accuracy: 0.8403, prior_entropy: 0.9835, recall: 0.8403, relative_absolute_error: 0.4855, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3345, root_relative_squared_error: 0.6768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8489, kappa: 0.6903, kb_relative_information_score: 0.6059, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8488, predictive_accuracy: 0.8491, prior_entropy: 0.9835, recall: 0.8491, relative_absolute_error: 0.4099, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.8091, kappa: 0.6074, kb_relative_information_score: 0.3704, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8107, predictive_accuracy: 0.8108, prior_entropy: 0.9835, recall: 0.8108, relative_absolute_error: 0.6742, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.7631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8312, kappa: 0.6537, kb_relative_information_score: 0.5017, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8313, predictive_accuracy: 0.8318, prior_entropy: 0.9835, recall: 0.8318, relative_absolute_error: 0.5289, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.6989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.7556, kappa: 0.4993, kb_relative_information_score: 0.1493, mean_absolute_error: 0.4325, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7787, predictive_accuracy: 0.7658, prior_entropy: 0.9835, recall: 0.7658, relative_absolute_error: 0.8852, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4452, root_relative_squared_error: 0.9006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.8184, kappa: 0.6271, kb_relative_information_score: 0.5396, mean_absolute_error: 0.2326, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8187, predictive_accuracy: 0.8193, prior_entropy: 0.9835, recall: 0.8193, relative_absolute_error: 0.476, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.8519, kappa: 0.6964, kb_relative_information_score: 0.5508, mean_absolute_error: 0.2341, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8519, predictive_accuracy: 0.8523, prior_entropy: 0.9835, recall: 0.8523, relative_absolute_error: 0.4791, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.8711, kappa: 0.7359, kb_relative_information_score: 0.631, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.871, predictive_accuracy: 0.8712, prior_entropy: 0.9835, recall: 0.8712, relative_absolute_error: 0.3903, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.6123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.7906, kappa: 0.5689, kb_relative_information_score: 0.422, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7954, predictive_accuracy: 0.7939, prior_entropy: 0.9835, recall: 0.7939, relative_absolute_error: 0.608, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.8485, kappa: 0.6895, kb_relative_information_score: 0.5945, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8485, predictive_accuracy: 0.8488, prior_entropy: 0.9835, recall: 0.8488, relative_absolute_error: 0.4233, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8327, kappa: 0.6568, kb_relative_information_score: 0.5236, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8328, predictive_accuracy: 0.8332, prior_entropy: 0.9835, recall: 0.8332, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.343, root_relative_squared_error: 0.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7848, f_measure: 0.7167, kappa: 0.417, kb_relative_information_score: 0.2643, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7181, predictive_accuracy: 0.7202, prior_entropy: 0.9835, recall: 0.7202, relative_absolute_error: 0.7597, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9405, kappa: 0.8782, kb_relative_information_score: 0.8115, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9405, predictive_accuracy: 0.9405, prior_entropy: 0.9835, recall: 0.9405, relative_absolute_error: 0.2046, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.4272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.8503, kappa: 0.6932, kb_relative_information_score: 0.5652, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8503, predictive_accuracy: 0.8506, prior_entropy: 0.9835, recall: 0.8506, relative_absolute_error: 0.4607, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.6569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.765, kappa: 0.5174, kb_relative_information_score: 0.3538, mean_absolute_error: 0.3327, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.782, predictive_accuracy: 0.773, prior_entropy: 0.9835, recall: 0.773, relative_absolute_error: 0.6809, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.7906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.7602, kappa: 0.5072, kb_relative_information_score: 0.3292, mean_absolute_error: 0.3454, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7738, predictive_accuracy: 0.7675, prior_entropy: 0.9835, recall: 0.7675, relative_absolute_error: 0.7068, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5028, kappa: -0.0001, kb_relative_information_score: -0.0338, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.5113, predictive_accuracy: 0.5, prior_entropy: 0.9835, recall: 0.5, relative_absolute_error: 1.0234, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.8881, kappa: 0.7708, kb_relative_information_score: 0.6592, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8881, predictive_accuracy: 0.8882, prior_entropy: 0.9835, recall: 0.8882, relative_absolute_error: 0.3649, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.5711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8288, kappa: 0.6486, kb_relative_information_score: 0.5012, mean_absolute_error: 0.2575, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.829, predictive_accuracy: 0.8295, prior_entropy: 0.9835, recall: 0.8295, relative_absolute_error: 0.527, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.349, root_relative_squared_error: 0.7062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.8789, kappa: 0.7519, kb_relative_information_score: 0.6423, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8788, predictive_accuracy: 0.879, prior_entropy: 0.9835, recall: 0.879, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.5925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.7929, kappa: 0.5738, kb_relative_information_score: 0.3967, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8005, predictive_accuracy: 0.7971, prior_entropy: 0.9835, recall: 0.7971, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.8325, kappa: 0.6562, kb_relative_information_score: 0.5225, mean_absolute_error: 0.2462, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8325, predictive_accuracy: 0.833, prior_entropy: 0.9835, recall: 0.833, relative_absolute_error: 0.5039, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.6947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9135, kappa: 0.823, kb_relative_information_score: 0.7135, mean_absolute_error: 0.1516, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9135, predictive_accuracy: 0.9136, prior_entropy: 0.9835, recall: 0.9136, relative_absolute_error: 0.3104, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2545, root_relative_squared_error: 0.5149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.7189, kappa: 0.4218, kb_relative_information_score: 0.2697, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7196, predictive_accuracy: 0.7218, prior_entropy: 0.9835, recall: 0.7218, relative_absolute_error: 0.754, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.8695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9182, kappa: 0.8325, kb_relative_information_score: 0.7271, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9182, predictive_accuracy: 0.9182, prior_entropy: 0.9835, recall: 0.9182, relative_absolute_error: 0.2966, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.5021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8152, kappa: 0.6206, kb_relative_information_score: 0.5009, mean_absolute_error: 0.2553, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8154, predictive_accuracy: 0.816, prior_entropy: 0.9835, recall: 0.816, relative_absolute_error: 0.5225, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.7247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.8316, kappa: 0.6545, kb_relative_information_score: 0.5312, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8316, predictive_accuracy: 0.8321, prior_entropy: 0.9835, recall: 0.8321, relative_absolute_error: 0.4926, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.6966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.87, kappa: 0.7337, kb_relative_information_score: 0.6474, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8699, predictive_accuracy: 0.8701, prior_entropy: 0.9835, recall: 0.8701, relative_absolute_error: 0.3705, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.6157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7861, f_measure: 0.7198, kappa: 0.4238, kb_relative_information_score: 0.27, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7203, predictive_accuracy: 0.7223, prior_entropy: 0.9835, recall: 0.7223, relative_absolute_error: 0.7535, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.43, root_relative_squared_error: 0.8699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.7783, kappa: 0.5439, kb_relative_information_score: 0.3697, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7882, predictive_accuracy: 0.7837, prior_entropy: 0.9835, recall: 0.7837, relative_absolute_error: 0.6649, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3862, root_relative_squared_error: 0.7813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.8666, kappa: 0.7266, kb_relative_information_score: 0.5926, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8665, predictive_accuracy: 0.8668, prior_entropy: 0.9835, recall: 0.8668, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.6235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.8181, kappa: 0.6258, kb_relative_information_score: 0.4554, mean_absolute_error: 0.2829, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8205, predictive_accuracy: 0.82, prior_entropy: 0.9835, recall: 0.82, relative_absolute_error: 0.5789, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.7207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.834, kappa: 0.659, kb_relative_information_score: 0.5034, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8348, predictive_accuracy: 0.835, prior_entropy: 0.9835, recall: 0.835, relative_absolute_error: 0.5282, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.6898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.816, kappa: 0.622, kb_relative_information_score: 0.5327, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8166, predictive_accuracy: 0.8171, prior_entropy: 0.9835, recall: 0.8171, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.8612, kappa: 0.7154, kb_relative_information_score: 0.582, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8612, predictive_accuracy: 0.8615, prior_entropy: 0.9835, recall: 0.8615, relative_absolute_error: 0.4465, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.6363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.8134, kappa: 0.6163, kb_relative_information_score: 0.4446, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8152, predictive_accuracy: 0.8151, prior_entropy: 0.9835, recall: 0.8151, relative_absolute_error: 0.588, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.7363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.7585, kappa: 0.5046, kb_relative_information_score: 0.319, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7779, predictive_accuracy: 0.7675, prior_entropy: 0.9835, recall: 0.7675, relative_absolute_error: 0.7173, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.8105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.8039, kappa: 0.5969, kb_relative_information_score: 0.4811, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8047, predictive_accuracy: 0.8053, prior_entropy: 0.9835, recall: 0.8053, relative_absolute_error: 0.5418, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.7474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.927, kappa: 0.8506, kb_relative_information_score: 0.7559, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.927, predictive_accuracy: 0.927, prior_entropy: 0.9835, recall: 0.927, relative_absolute_error: 0.2658, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.4753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.827, kappa: 0.6448, kb_relative_information_score: 0.4437, mean_absolute_error: 0.2923, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8272, predictive_accuracy: 0.8277, prior_entropy: 0.9835, recall: 0.8277, relative_absolute_error: 0.5983, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.7181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.8199, kappa: 0.63, kb_relative_information_score: 0.4793, mean_absolute_error: 0.2683, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8203, predictive_accuracy: 0.8208, prior_entropy: 0.9835, recall: 0.8208, relative_absolute_error: 0.5492, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.7235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.8171, kappa: 0.6242, kb_relative_information_score: 0.4717, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8176, predictive_accuracy: 0.8181, prior_entropy: 0.9835, recall: 0.8181, relative_absolute_error: 0.5579, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.359, root_relative_squared_error: 0.7263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.8436, kappa: 0.6794, kb_relative_information_score: 0.5551, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8436, predictive_accuracy: 0.844, prior_entropy: 0.9835, recall: 0.844, relative_absolute_error: 0.4696, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.6698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8622, kappa: 0.7175, kb_relative_information_score: 0.6008, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8621, predictive_accuracy: 0.8624, prior_entropy: 0.9835, recall: 0.8624, relative_absolute_error: 0.4232, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.6329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8169, kappa: 0.6252, kb_relative_information_score: 0.5539, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8169, predictive_accuracy: 0.817, prior_entropy: 0.9835, recall: 0.817, relative_absolute_error: 0.4579, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.7478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, f_measure: 0.7988, kappa: 0.5859, kb_relative_information_score: 0.4552, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8018, predictive_accuracy: 0.8012, prior_entropy: 0.9835, recall: 0.8012, relative_absolute_error: 0.5721, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.7543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.8403, kappa: 0.6724, kb_relative_information_score: 0.5412, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8403, predictive_accuracy: 0.8407, prior_entropy: 0.9835, recall: 0.8407, relative_absolute_error: 0.4852, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.6763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.8685, kappa: 0.7306, kb_relative_information_score: 0.6021, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8685, predictive_accuracy: 0.8687, prior_entropy: 0.9835, recall: 0.8687, relative_absolute_error: 0.4247, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3046, root_relative_squared_error: 0.6162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9043, kappa: 0.804, kb_relative_information_score: 0.6811, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9042, predictive_accuracy: 0.9043, prior_entropy: 0.9835, recall: 0.9043, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2673, root_relative_squared_error: 0.5408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8325, kappa: 0.6564, kb_relative_information_score: 0.5236, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8326, predictive_accuracy: 0.8331, prior_entropy: 0.9835, recall: 0.8331, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6609, f_measure: 0.6831, kappa: 0.3539, kb_relative_information_score: 0.3279, mean_absolute_error: 0.3269, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6847, predictive_accuracy: 0.6821, prior_entropy: 0.9835, recall: 0.6821, relative_absolute_error: 0.669, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5561, root_relative_squared_error: 1.1251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.8526, kappa: 0.6977, kb_relative_information_score: 0.5621, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8527, predictive_accuracy: 0.853, prior_entropy: 0.9835, recall: 0.853, relative_absolute_error: 0.4669, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.8959, kappa: 0.7869, kb_relative_information_score: 0.6622, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8959, predictive_accuracy: 0.8959, prior_entropy: 0.9835, recall: 0.8959, relative_absolute_error: 0.3649, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.5582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.8172, kappa: 0.6247, kb_relative_information_score: 0.492, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8176, predictive_accuracy: 0.8181, prior_entropy: 0.9835, recall: 0.8181, relative_absolute_error: 0.5337, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.7215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.876, kappa: 0.7459, kb_relative_information_score: 0.6351, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8759, predictive_accuracy: 0.8761, prior_entropy: 0.9835, recall: 0.8761, relative_absolute_error: 0.3884, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9285, kappa: 0.8536, kb_relative_information_score: 0.7735, mean_absolute_error: 0.1196, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9285, predictive_accuracy: 0.9285, prior_entropy: 0.9835, recall: 0.9285, relative_absolute_error: 0.2447, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.232, root_relative_squared_error: 0.4694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8369, kappa: 0.6656, kb_relative_information_score: 0.5534, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8369, predictive_accuracy: 0.8374, prior_entropy: 0.9835, recall: 0.8374, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.6829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5653, f_measure: 0.5785, kappa: 0.1469, kb_relative_information_score: 0.1889, mean_absolute_error: 0.3924, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.5986, predictive_accuracy: 0.608, prior_entropy: 0.9835, recall: 0.608, relative_absolute_error: 0.8032, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6256, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.8052, kappa: 0.5993, kb_relative_information_score: 0.4153, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8082, predictive_accuracy: 0.8076, prior_entropy: 0.9835, recall: 0.8076, relative_absolute_error: 0.6209, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.37, root_relative_squared_error: 0.7485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.8689, kappa: 0.7314, kb_relative_information_score: 0.6075, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8689, predictive_accuracy: 0.8691, prior_entropy: 0.9835, recall: 0.8691, relative_absolute_error: 0.4188, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3045, root_relative_squared_error: 0.6161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9403, kappa: 0.8777, kb_relative_information_score: 0.839, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9402, predictive_accuracy: 0.9403, prior_entropy: 0.9835, recall: 0.9403, relative_absolute_error: 0.17, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.4293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9218, kappa: 0.8398, kb_relative_information_score: 0.7403, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9218, predictive_accuracy: 0.9218, prior_entropy: 0.9835, recall: 0.9218, relative_absolute_error: 0.2818, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2428, root_relative_squared_error: 0.4913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8445, kappa: 0.6812, kb_relative_information_score: 0.5512, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8445, predictive_accuracy: 0.8449, prior_entropy: 0.9835, recall: 0.8449, relative_absolute_error: 0.4748, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.6691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.8218, kappa: 0.6345, kb_relative_information_score: 0.5619, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8218, predictive_accuracy: 0.8223, prior_entropy: 0.9835, recall: 0.8223, relative_absolute_error: 0.4505, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8593, kappa: 0.7116, kb_relative_information_score: 0.5915, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8592, predictive_accuracy: 0.8595, prior_entropy: 0.9835, recall: 0.8595, relative_absolute_error: 0.4326, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.315, root_relative_squared_error: 0.6373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.8025, kappa: 0.5939, kb_relative_information_score: 0.4732, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8038, predictive_accuracy: 0.8042, prior_entropy: 0.9835, recall: 0.8042, relative_absolute_error: 0.552, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.7455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7042, f_measure: 0.7245, kappa: 0.4356, kb_relative_information_score: 0.4194, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7243, predictive_accuracy: 0.7248, prior_entropy: 0.9835, recall: 0.7248, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5188, root_relative_squared_error: 1.0497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8347, kappa: 0.6608, kb_relative_information_score: 0.5058, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8348, predictive_accuracy: 0.8353, prior_entropy: 0.9835, recall: 0.8353, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.6965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.8507, kappa: 0.694, kb_relative_information_score: 0.5637, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8507, predictive_accuracy: 0.851, prior_entropy: 0.9835, recall: 0.851, relative_absolute_error: 0.4624, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.6571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.872, kappa: 0.7377, kb_relative_information_score: 0.633, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8719, predictive_accuracy: 0.8721, prior_entropy: 0.9835, recall: 0.8721, relative_absolute_error: 0.3888, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3018, root_relative_squared_error: 0.6106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.8016, kappa: 0.5919, kb_relative_information_score: 0.4664, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8035, predictive_accuracy: 0.8036, prior_entropy: 0.9835, recall: 0.8036, relative_absolute_error: 0.5599, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.7472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.8766, kappa: 0.7472, kb_relative_information_score: 0.6375, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8766, predictive_accuracy: 0.8768, prior_entropy: 0.9835, recall: 0.8768, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.5994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.8743, kappa: 0.7424, kb_relative_information_score: 0.6394, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8742, predictive_accuracy: 0.8744, prior_entropy: 0.9835, recall: 0.8744, relative_absolute_error: 0.3815, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.6061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8611, kappa: 0.7155, kb_relative_information_score: 0.6195, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.861, predictive_accuracy: 0.8612, prior_entropy: 0.9835, recall: 0.8612, relative_absolute_error: 0.4002, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.6318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7862, f_measure: 0.7196, kappa: 0.4232, kb_relative_information_score: 0.27, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7201, predictive_accuracy: 0.7222, prior_entropy: 0.9835, recall: 0.7222, relative_absolute_error: 0.7536, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.8698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.944, kappa: 0.8853, kb_relative_information_score: 0.8298, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.944, predictive_accuracy: 0.944, prior_entropy: 0.9835, recall: 0.944, relative_absolute_error: 0.1833, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.4165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.8725, kappa: 0.7387, kb_relative_information_score: 0.6148, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8724, predictive_accuracy: 0.8726, prior_entropy: 0.9835, recall: 0.8726, relative_absolute_error: 0.4107, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.6085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.7576, kappa: 0.5015, kb_relative_information_score: 0.3444, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7683, predictive_accuracy: 0.7641, prior_entropy: 0.9835, recall: 0.7641, relative_absolute_error: 0.6895, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.8261, kappa: 0.6429, kb_relative_information_score: 0.5155, mean_absolute_error: 0.2487, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8262, predictive_accuracy: 0.8268, prior_entropy: 0.9835, recall: 0.8268, relative_absolute_error: 0.5091, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.7046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.7184, kappa: 0.4207, kb_relative_information_score: 0.2688, mean_absolute_error: 0.3689, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7193, predictive_accuracy: 0.7214, prior_entropy: 0.9835, recall: 0.7214, relative_absolute_error: 0.755, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.8696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.7903, kappa: 0.5684, kb_relative_information_score: 0.3929, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7983, predictive_accuracy: 0.7946, prior_entropy: 0.9835, recall: 0.7946, relative_absolute_error: 0.6416, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5851, f_measure: 0.5895, kappa: 0.1965, kb_relative_information_score: 0.1394, mean_absolute_error: 0.4177, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6163, predictive_accuracy: 0.5894, prior_entropy: 0.9835, recall: 0.5894, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.635, root_relative_squared_error: 1.2846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.865, kappa: 0.7233, kb_relative_information_score: 0.6005, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8649, predictive_accuracy: 0.8652, prior_entropy: 0.9835, recall: 0.8652, relative_absolute_error: 0.4245, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.8779, kappa: 0.7498, kb_relative_information_score: 0.6374, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8779, predictive_accuracy: 0.8781, prior_entropy: 0.9835, recall: 0.8781, relative_absolute_error: 0.3857, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.5975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.8483, kappa: 0.689, kb_relative_information_score: 0.5585, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8483, predictive_accuracy: 0.8486, prior_entropy: 0.9835, recall: 0.8486, relative_absolute_error: 0.4679, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8729, kappa: 0.7397, kb_relative_information_score: 0.5854, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8729, predictive_accuracy: 0.8731, prior_entropy: 0.9835, recall: 0.8731, relative_absolute_error: 0.4493, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.6132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.8837, kappa: 0.7618, kb_relative_information_score: 0.6364, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8837, predictive_accuracy: 0.8838, prior_entropy: 0.9835, recall: 0.8838, relative_absolute_error: 0.3913, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.5839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.8461, kappa: 0.6843, kb_relative_information_score: 0.5826, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8461, predictive_accuracy: 0.8465, prior_entropy: 0.9835, recall: 0.8465, relative_absolute_error: 0.4369, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.6783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.787, kappa: 0.5616, kb_relative_information_score: 0.3895, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7941, predictive_accuracy: 0.7912, prior_entropy: 0.9835, recall: 0.7912, relative_absolute_error: 0.6444, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7706,

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