Task
Supervised Classification on electricity

Supervised Classification on electricity

Task 219 Supervised Classification electricity 75689 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: 0.8151, f_measure: 0.7454, kappa: 0.4766, kb_relative_information_score: 13520.3562, mean_absolute_error: 0.3578, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7566, predictive_accuracy: 0.7526, prior_entropy: 0.9835, recall: 0.7526, relative_absolute_error: 0.7323, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.8802, kappa: 0.755, kb_relative_information_score: 32324.3968, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8803, predictive_accuracy: 0.8801, prior_entropy: 0.9835, recall: 0.8801, relative_absolute_error: 0.2924, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.5991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8798, kappa: 0.754, kb_relative_information_score: 32129.9547, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8798, predictive_accuracy: 0.8797, prior_entropy: 0.9835, recall: 0.8797, relative_absolute_error: 0.2974, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.5997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.8864, kappa: 0.7678, kb_relative_information_score: 34549.0219, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8867, predictive_accuracy: 0.8863, prior_entropy: 0.9835, recall: 0.8863, relative_absolute_error: 0.2359, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.6396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.8774, kappa: 0.7492, kb_relative_information_score: 31863.8268, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8775, predictive_accuracy: 0.8773, prior_entropy: 0.9835, recall: 0.8773, relative_absolute_error: 0.3036, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.6023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8834, kappa: 0.7616, kb_relative_information_score: 33131.2974, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8835, predictive_accuracy: 0.8834, prior_entropy: 0.9835, recall: 0.8834, relative_absolute_error: 0.2719, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8933, kappa: 0.7818, kb_relative_information_score: 34894.6631, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8934, predictive_accuracy: 0.8932, prior_entropy: 0.9835, recall: 0.8932, relative_absolute_error: 0.2296, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2959, root_relative_squared_error: 0.5986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.8729, kappa: 0.74, kb_relative_information_score: 31244.618, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8729, predictive_accuracy: 0.8729, prior_entropy: 0.9835, recall: 0.8729, relative_absolute_error: 0.3185, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.6098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.8718, kappa: 0.7376, kb_relative_information_score: 30922.4281, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8718, predictive_accuracy: 0.8717, prior_entropy: 0.9835, recall: 0.8717, relative_absolute_error: 0.3264, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.6131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.887, kappa: 0.769, kb_relative_information_score: 34110.8311, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8872, predictive_accuracy: 0.8869, prior_entropy: 0.9835, recall: 0.8869, relative_absolute_error: 0.2473, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3035, root_relative_squared_error: 0.6141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.882, kappa: 0.7586, kb_relative_information_score: 32613.6252, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.882, predictive_accuracy: 0.882, prior_entropy: 0.9835, recall: 0.882, relative_absolute_error: 0.2855, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.8841, kappa: 0.763, kb_relative_information_score: 32894.115, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8843, predictive_accuracy: 0.884, prior_entropy: 0.9835, recall: 0.884, relative_absolute_error: 0.2789, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2939, root_relative_squared_error: 0.5945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.868, kappa: 0.73, kb_relative_information_score: 30469.9252, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8681, predictive_accuracy: 0.868, prior_entropy: 0.9835, recall: 0.868, relative_absolute_error: 0.3367, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.6225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8883, kappa: 0.7716, kb_relative_information_score: 34883.7431, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8884, predictive_accuracy: 0.8882, prior_entropy: 0.9835, recall: 0.8882, relative_absolute_error: 0.2278, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.324, root_relative_squared_error: 0.6555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.8841, kappa: 0.763, kb_relative_information_score: 32886.3471, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8843, predictive_accuracy: 0.884, prior_entropy: 0.9835, recall: 0.884, relative_absolute_error: 0.2791, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.294, root_relative_squared_error: 0.5948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.887, kappa: 0.7689, kb_relative_information_score: 34315.6058, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8871, predictive_accuracy: 0.887, prior_entropy: 0.9835, recall: 0.887, relative_absolute_error: 0.2418, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3081, root_relative_squared_error: 0.6234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.8749, kappa: 0.7441, kb_relative_information_score: 31540.4068, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.875, predictive_accuracy: 0.8748, prior_entropy: 0.9835, recall: 0.8748, relative_absolute_error: 0.3111, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8921, kappa: 0.7796, kb_relative_information_score: 34814.588, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8925, predictive_accuracy: 0.8919, prior_entropy: 0.9835, recall: 0.8919, relative_absolute_error: 0.2312, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.8819, kappa: 0.7585, kb_relative_information_score: 32600.7341, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.882, predictive_accuracy: 0.8819, prior_entropy: 0.9835, recall: 0.8819, relative_absolute_error: 0.2858, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2952, root_relative_squared_error: 0.5972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.8651, kappa: 0.724, kb_relative_information_score: 29961.292, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8652, predictive_accuracy: 0.865, prior_entropy: 0.9835, recall: 0.865, relative_absolute_error: 0.3491, 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: 0.9387, f_measure: 0.878, kappa: 0.7503, kb_relative_information_score: 32270.6611, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.878, predictive_accuracy: 0.878, prior_entropy: 0.9835, recall: 0.878, relative_absolute_error: 0.293, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.6082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.8678, kappa: 0.7296, kb_relative_information_score: 30454.1221, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8679, predictive_accuracy: 0.8678, prior_entropy: 0.9835, recall: 0.8678, relative_absolute_error: 0.3371, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.6227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8771, kappa: 0.7487, kb_relative_information_score: 32032.4694, mean_absolute_error: 0.1461, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8773, predictive_accuracy: 0.877, prior_entropy: 0.9835, recall: 0.877, relative_absolute_error: 0.2991, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.6091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.8694, kappa: 0.7329, kb_relative_information_score: 30653.4049, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8695, predictive_accuracy: 0.8694, prior_entropy: 0.9835, recall: 0.8694, relative_absolute_error: 0.3322, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.307, root_relative_squared_error: 0.6212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.8836, kappa: 0.7619, kb_relative_information_score: 33295.9207, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8837, predictive_accuracy: 0.8835, prior_entropy: 0.9835, recall: 0.8835, relative_absolute_error: 0.2674, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.6108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8803, kappa: 0.7553, kb_relative_information_score: 32332.3045, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8805, predictive_accuracy: 0.8803, prior_entropy: 0.9835, recall: 0.8803, relative_absolute_error: 0.2923, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.5982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.8817, kappa: 0.758, kb_relative_information_score: 32583.4994, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8818, predictive_accuracy: 0.8817, prior_entropy: 0.9835, recall: 0.8817, relative_absolute_error: 0.2862, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.5979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8871, kappa: 0.7691, kb_relative_information_score: 33727.1997, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8872, predictive_accuracy: 0.887, prior_entropy: 0.9835, recall: 0.887, relative_absolute_error: 0.258, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.8716, kappa: 0.7373, kb_relative_information_score: 30915.2743, mean_absolute_error: 0.1596, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8716, predictive_accuracy: 0.8716, prior_entropy: 0.9835, recall: 0.8716, relative_absolute_error: 0.3266, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.6133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.8724, kappa: 0.739, kb_relative_information_score: 31079.0631, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8725, predictive_accuracy: 0.8724, prior_entropy: 0.9835, recall: 0.8724, relative_absolute_error: 0.3226, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3021, root_relative_squared_error: 0.6113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.8847, kappa: 0.7641, kb_relative_information_score: 33168.9444, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8847, predictive_accuracy: 0.8846, prior_entropy: 0.9835, recall: 0.8846, relative_absolute_error: 0.2719, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.5936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.8867, kappa: 0.7682, kb_relative_information_score: 34288.0068, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8868, predictive_accuracy: 0.8866, prior_entropy: 0.9835, recall: 0.8866, relative_absolute_error: 0.2424, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3086, root_relative_squared_error: 0.6243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.872, kappa: 0.7381, kb_relative_information_score: 31104.3675, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.872, predictive_accuracy: 0.8719, prior_entropy: 0.9835, recall: 0.8719, relative_absolute_error: 0.3215, 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: 0.9371, f_measure: 0.8884, kappa: 0.7717, kb_relative_information_score: 33992.122, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8885, predictive_accuracy: 0.8883, prior_entropy: 0.9835, recall: 0.8883, relative_absolute_error: 0.2515, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.5945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.8844, kappa: 0.7636, kb_relative_information_score: 33165.39, mean_absolute_error: 0.1329, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8845, predictive_accuracy: 0.8844, prior_entropy: 0.9835, recall: 0.8844, relative_absolute_error: 0.2719, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.5939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.8881, kappa: 0.7712, kb_relative_information_score: 33960.2376, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8883, predictive_accuracy: 0.8879, prior_entropy: 0.9835, recall: 0.8879, relative_absolute_error: 0.2523, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.5926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8878, kappa: 0.7706, kb_relative_information_score: 33873.0356, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.888, predictive_accuracy: 0.8877, prior_entropy: 0.9835, recall: 0.8877, relative_absolute_error: 0.2544, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2949, root_relative_squared_error: 0.5966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8848, kappa: 0.7647, kb_relative_information_score: 33848.8377, mean_absolute_error: 0.1237, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8853, predictive_accuracy: 0.8845, prior_entropy: 0.9835, recall: 0.8845, relative_absolute_error: 0.2532, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.8869, kappa: 0.7687, kb_relative_information_score: 33475.0868, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.887, predictive_accuracy: 0.8868, prior_entropy: 0.9835, recall: 0.8868, relative_absolute_error: 0.2646, 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: 0.942, f_measure: 0.8846, kappa: 0.764, kb_relative_information_score: 33223.3637, mean_absolute_error: 0.1322, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8847, predictive_accuracy: 0.8845, prior_entropy: 0.9835, recall: 0.8845, relative_absolute_error: 0.2705, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.5935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8707, kappa: 0.7356, kb_relative_information_score: 30738.7968, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8708, predictive_accuracy: 0.8707, prior_entropy: 0.9835, recall: 0.8707, relative_absolute_error: 0.3309, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.6154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.8834, kappa: 0.7615, kb_relative_information_score: 33299.9939, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8835, predictive_accuracy: 0.8833, prior_entropy: 0.9835, recall: 0.8833, relative_absolute_error: 0.2673, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3017, root_relative_squared_error: 0.6104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.8795, kappa: 0.7536, kb_relative_information_score: 33085.0132, mean_absolute_error: 0.1329, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8797, predictive_accuracy: 0.8794, prior_entropy: 0.9835, recall: 0.8794, relative_absolute_error: 0.2721, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.6203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8764, kappa: 0.7474, kb_relative_information_score: 32008.692, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8766, predictive_accuracy: 0.8763, prior_entropy: 0.9835, recall: 0.8763, relative_absolute_error: 0.2996, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.6096,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.8674, kappa: 0.7287, kb_relative_information_score: 30282.2576, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8675, predictive_accuracy: 0.8673, prior_entropy: 0.9835, recall: 0.8673, relative_absolute_error: 0.3414, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.6245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.884, kappa: 0.7629, kb_relative_information_score: 32880.2143, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8842, predictive_accuracy: 0.8839, prior_entropy: 0.9835, recall: 0.8839, relative_absolute_error: 0.2792, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.5945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.8823, kappa: 0.7591, kb_relative_information_score: 32616.482, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8823, predictive_accuracy: 0.8822, prior_entropy: 0.9835, recall: 0.8822, relative_absolute_error: 0.2855, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2949, root_relative_squared_error: 0.5967,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.8923, kappa: 0.7798, kb_relative_information_score: 34768.663, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8924, predictive_accuracy: 0.8922, prior_entropy: 0.9835, recall: 0.8922, relative_absolute_error: 0.2327, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.5986,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.8775, kappa: 0.7494, kb_relative_information_score: 31862.6984, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8776, predictive_accuracy: 0.8774, prior_entropy: 0.9835, recall: 0.8774, relative_absolute_error: 0.3037, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.6025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8766, kappa: 0.7477, kb_relative_information_score: 32014.2928, mean_absolute_error: 0.1463, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8768, predictive_accuracy: 0.8765, prior_entropy: 0.9835, recall: 0.8765, relative_absolute_error: 0.2995, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.6096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8851, kappa: 0.7648, kb_relative_information_score: 33176.5334, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8851, predictive_accuracy: 0.885, prior_entropy: 0.9835, recall: 0.885, relative_absolute_error: 0.2718, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.5931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.871, kappa: 0.7362, kb_relative_information_score: 30748.62, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8711, predictive_accuracy: 0.871, prior_entropy: 0.9835, recall: 0.871, relative_absolute_error: 0.3307, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.304, root_relative_squared_error: 0.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.8847, kappa: 0.7642, kb_relative_information_score: 33507.9518, mean_absolute_error: 0.1281, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8848, predictive_accuracy: 0.8846, prior_entropy: 0.9835, recall: 0.8846, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3017, root_relative_squared_error: 0.6105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.8887, kappa: 0.7726, kb_relative_information_score: 34031.1564, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8889, predictive_accuracy: 0.8886, prior_entropy: 0.9835, recall: 0.8886, relative_absolute_error: 0.2506, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2937, root_relative_squared_error: 0.5943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8869, kappa: 0.7692, kb_relative_information_score: 34725.1781, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8877, predictive_accuracy: 0.8866, prior_entropy: 0.9835, recall: 0.8866, relative_absolute_error: 0.2314, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.8716, kappa: 0.7373, kb_relative_information_score: 30906.7566, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8716, predictive_accuracy: 0.8716, prior_entropy: 0.9835, recall: 0.8716, relative_absolute_error: 0.3268, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3033, root_relative_squared_error: 0.6136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.8683, kappa: 0.7307, kb_relative_information_score: 30473.9404, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8684, predictive_accuracy: 0.8683, prior_entropy: 0.9835, recall: 0.8683, relative_absolute_error: 0.3367, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.6223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.8753, kappa: 0.745, kb_relative_information_score: 31567.9844, mean_absolute_error: 0.1517, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8755, predictive_accuracy: 0.8753, prior_entropy: 0.9835, recall: 0.8753, relative_absolute_error: 0.3105, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3023, root_relative_squared_error: 0.6115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.8804, kappa: 0.7555, kb_relative_information_score: 33053.7469, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8806, predictive_accuracy: 0.8802, prior_entropy: 0.9835, recall: 0.8802, relative_absolute_error: 0.273, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.303, root_relative_squared_error: 0.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.892, kappa: 0.7791, kb_relative_information_score: 34726.7037, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8921, predictive_accuracy: 0.8919, prior_entropy: 0.9835, recall: 0.8919, relative_absolute_error: 0.2335, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.6031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.8804, kappa: 0.7554, kb_relative_information_score: 32313.7009, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8805, predictive_accuracy: 0.8803, prior_entropy: 0.9835, recall: 0.8803, relative_absolute_error: 0.2927, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.296, root_relative_squared_error: 0.5989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.8838, kappa: 0.7624, kb_relative_information_score: 32875.1301, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8839, predictive_accuracy: 0.8837, prior_entropy: 0.9835, recall: 0.8837, relative_absolute_error: 0.2793, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.5951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.8723, kappa: 0.7386, kb_relative_information_score: 31082.3208, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8723, predictive_accuracy: 0.8722, prior_entropy: 0.9835, recall: 0.8722, relative_absolute_error: 0.3225, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.6115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.8813, kappa: 0.7572, kb_relative_information_score: 32698.0873, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8814, predictive_accuracy: 0.8813, prior_entropy: 0.9835, recall: 0.8813, relative_absolute_error: 0.2828, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.6064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.8757, kappa: 0.7456, kb_relative_information_score: 31644.1099, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8757, predictive_accuracy: 0.8757, prior_entropy: 0.9835, recall: 0.8757, relative_absolute_error: 0.309, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.6051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.8732, kappa: 0.7406, kb_relative_information_score: 31246.7776, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8733, predictive_accuracy: 0.8732, prior_entropy: 0.9835, recall: 0.8732, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.6097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.8827, kappa: 0.7601, kb_relative_information_score: 33025.4078, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8828, predictive_accuracy: 0.8825, prior_entropy: 0.9835, recall: 0.8825, relative_absolute_error: 0.2745, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.6066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.8822, kappa: 0.7592, kb_relative_information_score: 33160.1307, mean_absolute_error: 0.1323, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8825, predictive_accuracy: 0.882, prior_entropy: 0.9835, recall: 0.882, relative_absolute_error: 0.2708, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.6099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.8841, kappa: 0.7633, kb_relative_information_score: 33812.3003, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8847, predictive_accuracy: 0.8839, prior_entropy: 0.9835, recall: 0.8839, relative_absolute_error: 0.254, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3063, root_relative_squared_error: 0.6197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.8657, kappa: 0.7252, kb_relative_information_score: 30098.0367, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8657, predictive_accuracy: 0.8656, prior_entropy: 0.9835, recall: 0.8656, relative_absolute_error: 0.3458, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.6261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8816, kappa: 0.7577, kb_relative_information_score: 32810.6219, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8816, predictive_accuracy: 0.8815, prior_entropy: 0.9835, recall: 0.8815, relative_absolute_error: 0.2798, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.6084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8848, kappa: 0.7642, kb_relative_information_score: 33163.7293, mean_absolute_error: 0.1329, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8848, predictive_accuracy: 0.8847, prior_entropy: 0.9835, recall: 0.8847, relative_absolute_error: 0.272, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.5939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.8758, kappa: 0.7459, kb_relative_information_score: 31654.8993, mean_absolute_error: 0.1508, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8759, predictive_accuracy: 0.8758, prior_entropy: 0.9835, recall: 0.8758, relative_absolute_error: 0.3087, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.6048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.883, kappa: 0.7608, kb_relative_information_score: 33199.2909, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8831, predictive_accuracy: 0.883, prior_entropy: 0.9835, recall: 0.883, relative_absolute_error: 0.2698, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3017, root_relative_squared_error: 0.6104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.8715, kappa: 0.737, kb_relative_information_score: 30882.7638, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8715, predictive_accuracy: 0.8714, prior_entropy: 0.9835, recall: 0.8714, relative_absolute_error: 0.3269, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.306, root_relative_squared_error: 0.6191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.8765, kappa: 0.7474, kb_relative_information_score: 31814.3212, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8766, predictive_accuracy: 0.8765, prior_entropy: 0.9835, recall: 0.8765, relative_absolute_error: 0.3046, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.6097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.8767, kappa: 0.7478, kb_relative_information_score: 32009.9408, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8768, predictive_accuracy: 0.8765, prior_entropy: 0.9835, recall: 0.8765, relative_absolute_error: 0.2996, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.6096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.8844, kappa: 0.7635, kb_relative_information_score: 33501.9739, mean_absolute_error: 0.1281, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8844, predictive_accuracy: 0.8843, prior_entropy: 0.9835, recall: 0.8843, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.303, root_relative_squared_error: 0.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.8796, kappa: 0.7538, kb_relative_information_score: 33081.8344, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8798, predictive_accuracy: 0.8795, prior_entropy: 0.9835, recall: 0.8795, relative_absolute_error: 0.2722, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.6206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.885, kappa: 0.7652, kb_relative_information_score: 33864.9612, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8855, predictive_accuracy: 0.8848, prior_entropy: 0.9835, recall: 0.8848, relative_absolute_error: 0.253, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3056, root_relative_squared_error: 0.6182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.8776, kappa: 0.7497, kb_relative_information_score: 31854.8115, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8777, predictive_accuracy: 0.8776, prior_entropy: 0.9835, recall: 0.8776, relative_absolute_error: 0.3039, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2979, root_relative_squared_error: 0.6027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.8845, kappa: 0.7644, kb_relative_information_score: 34457.1497, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8853, predictive_accuracy: 0.8843, prior_entropy: 0.9835, recall: 0.8843, relative_absolute_error: 0.2376, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3129, root_relative_squared_error: 0.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.8716, kappa: 0.7373, kb_relative_information_score: 31097.6717, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8717, predictive_accuracy: 0.8715, prior_entropy: 0.9835, recall: 0.8715, relative_absolute_error: 0.3216, 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: 0.9429, f_measure: 0.8717, kappa: 0.7375, kb_relative_information_score: 30917.0819, mean_absolute_error: 0.1596, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8717, predictive_accuracy: 0.8717, prior_entropy: 0.9835, recall: 0.8717, relative_absolute_error: 0.3266, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.303, root_relative_squared_error: 0.6131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.868, kappa: 0.73, kb_relative_information_score: 30465.3681, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8681, predictive_accuracy: 0.868, prior_entropy: 0.9835, recall: 0.868, relative_absolute_error: 0.3368, 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: 0.9371, f_measure: 0.8886, kappa: 0.7722, kb_relative_information_score: 34002.017, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8887, predictive_accuracy: 0.8885, prior_entropy: 0.9835, recall: 0.8885, relative_absolute_error: 0.2512, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2937, root_relative_squared_error: 0.5943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.8879, kappa: 0.7708, kb_relative_information_score: 33735.0078, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.888, predictive_accuracy: 0.8879, prior_entropy: 0.9835, recall: 0.8879, relative_absolute_error: 0.258, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.5934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.8752, kappa: 0.7448, kb_relative_information_score: 31541.017, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8753, predictive_accuracy: 0.8752, prior_entropy: 0.9835, recall: 0.8752, relative_absolute_error: 0.3111, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.8826, kappa: 0.7597, kb_relative_information_score: 32942.6949, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8826, predictive_accuracy: 0.8825, prior_entropy: 0.9835, recall: 0.8825, relative_absolute_error: 0.2765, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.6092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.8924, kappa: 0.7802, kb_relative_information_score: 34844.7144, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8928, predictive_accuracy: 0.8922, prior_entropy: 0.9835, recall: 0.8922, relative_absolute_error: 0.2306, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.5981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.8746, kappa: 0.7434, kb_relative_information_score: 31449.8118, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8746, predictive_accuracy: 0.8746, prior_entropy: 0.9835, recall: 0.8746, relative_absolute_error: 0.3137, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3, root_relative_squared_error: 0.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8767, kappa: 0.748, kb_relative_information_score: 32031.9711, mean_absolute_error: 0.1461, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8769, predictive_accuracy: 0.8766, prior_entropy: 0.9835, recall: 0.8766, relative_absolute_error: 0.2991, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.6091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8769, kappa: 0.7484, kb_relative_information_score: 32033.0924, mean_absolute_error: 0.1461, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8771, predictive_accuracy: 0.8768, prior_entropy: 0.9835, recall: 0.8768, relative_absolute_error: 0.299, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.6092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.8681, kappa: 0.7302, kb_relative_information_score: 30466.7449, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8682, predictive_accuracy: 0.868, prior_entropy: 0.9835, recall: 0.868, relative_absolute_error: 0.3368, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.6224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.8849, kappa: 0.7649, kb_relative_information_score: 33871.1276, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8854, predictive_accuracy: 0.8847, prior_entropy: 0.9835, recall: 0.8847, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3055, root_relative_squared_error: 0.6182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.8777, kappa: 0.7498, kb_relative_information_score: 31859.9209, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8778, predictive_accuracy: 0.8776, prior_entropy: 0.9835, recall: 0.8776, relative_absolute_error: 0.3038, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.6024,

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