Task
Supervised Classification on electricity

Supervised Classification on electricity

Task 219 Supervised Classification electricity 77413 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: 0.8324, f_measure: 0.7613, kappa: 0.5086, kb_relative_information_score: 0.3656, mean_absolute_error: 0.3238, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7656, number_of_instances: 45312, precision: 0.7666, predictive_accuracy: 0.7656, prior_entropy: 0.9835, relative_absolute_error: 0.6626, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.8135, unweighted_recall: 0.7483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.8543, kappa: 0.7013, kb_relative_information_score: 0.5737, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8546, number_of_instances: 45312, precision: 0.8543, predictive_accuracy: 0.8546, prior_entropy: 0.9835, relative_absolute_error: 0.4569, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.6749, unweighted_recall: 0.8492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8279, kappa: 0.6463, kb_relative_information_score: 0.5293, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8291, number_of_instances: 45312, precision: 0.829, predictive_accuracy: 0.8291, prior_entropy: 0.9835, relative_absolute_error: 0.4987, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.7066, unweighted_recall: 0.8195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.7608, kappa: 0.5076, kb_relative_information_score: 0.3647, mean_absolute_error: 0.3242, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7651, number_of_instances: 45312, precision: 0.7661, predictive_accuracy: 0.7651, prior_entropy: 0.9835, relative_absolute_error: 0.6636, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.814, unweighted_recall: 0.7477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.7531, kappa: 0.4918, kb_relative_information_score: 0.3456, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7576, number_of_instances: 45312, precision: 0.7581, predictive_accuracy: 0.7576, prior_entropy: 0.9835, relative_absolute_error: 0.6818, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8288, unweighted_recall: 0.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.7706, kappa: 0.5279, kb_relative_information_score: 0.3876, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7742, number_of_instances: 45312, precision: 0.7747, predictive_accuracy: 0.7742, prior_entropy: 0.9835, relative_absolute_error: 0.6405, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.8001, unweighted_recall: 0.7584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.7833, kappa: 0.554, kb_relative_information_score: 0.4145, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.4886, weighted_recall: 0.786, number_of_instances: 45312, precision: 0.786, predictive_accuracy: 0.786, prior_entropy: 0.9835, relative_absolute_error: 0.6142, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3867, root_relative_squared_error: 0.7824, unweighted_recall: 0.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7611, kappa: 0.5083, kb_relative_information_score: 0.3651, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7655, number_of_instances: 45312, precision: 0.7664, predictive_accuracy: 0.7655, prior_entropy: 0.9835, relative_absolute_error: 0.6631, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8137, unweighted_recall: 0.7481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.7888, kappa: 0.5654, kb_relative_information_score: 0.4288, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7914, number_of_instances: 45312, precision: 0.7916, predictive_accuracy: 0.7914, prior_entropy: 0.9835, relative_absolute_error: 0.601, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7747, unweighted_recall: 0.7777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.7948, kappa: 0.5778, kb_relative_information_score: 0.4439, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7971, number_of_instances: 45312, precision: 0.7972, predictive_accuracy: 0.7971, prior_entropy: 0.9835, relative_absolute_error: 0.5853, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7644, unweighted_recall: 0.7841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.7826, kappa: 0.5527, kb_relative_information_score: 0.4134, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7853, number_of_instances: 45312, precision: 0.7854, predictive_accuracy: 0.7853, prior_entropy: 0.9835, relative_absolute_error: 0.6154, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3872, root_relative_squared_error: 0.7835, unweighted_recall: 0.7714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.8514, kappa: 0.6953, kb_relative_information_score: 0.5636, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8517, number_of_instances: 45312, precision: 0.8514, predictive_accuracy: 0.8517, prior_entropy: 0.9835, relative_absolute_error: 0.4668, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6845, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.7889, kappa: 0.5656, kb_relative_information_score: 0.4281, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7914, number_of_instances: 45312, precision: 0.7916, predictive_accuracy: 0.7914, prior_entropy: 0.9835, relative_absolute_error: 0.6011, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7742, unweighted_recall: 0.7778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8099, f_measure: 0.7498, kappa: 0.485, kb_relative_information_score: 0.3383, mean_absolute_error: 0.3363, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7541, number_of_instances: 45312, precision: 0.7542, predictive_accuracy: 0.7541, prior_entropy: 0.9835, relative_absolute_error: 0.6883, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.8359, unweighted_recall: 0.7369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7571, kappa: 0.5001, kb_relative_information_score: 0.3516, mean_absolute_error: 0.3307, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7617, number_of_instances: 45312, precision: 0.7626, predictive_accuracy: 0.7617, prior_entropy: 0.9835, relative_absolute_error: 0.6768, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, unweighted_recall: 0.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.856, kappa: 0.7045, kb_relative_information_score: 0.5818, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8565, number_of_instances: 45312, precision: 0.8561, predictive_accuracy: 0.8565, prior_entropy: 0.9835, relative_absolute_error: 0.4444, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.6546, unweighted_recall: 0.8502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8016, kappa: 0.592, kb_relative_information_score: 0.4625, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8036, number_of_instances: 45312, precision: 0.8036, predictive_accuracy: 0.8036, prior_entropy: 0.9835, relative_absolute_error: 0.5663, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.752, unweighted_recall: 0.7915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.8382, kappa: 0.6677, kb_relative_information_score: 0.5516, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4886, weighted_recall: 0.839, number_of_instances: 45312, precision: 0.8386, predictive_accuracy: 0.839, prior_entropy: 0.9835, relative_absolute_error: 0.4745, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6879, unweighted_recall: 0.8311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, f_measure: 0.7374, kappa: 0.4623, kb_relative_information_score: 0.3149, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7376, number_of_instances: 45312, precision: 0.7373, predictive_accuracy: 0.7376, prior_entropy: 0.9835, relative_absolute_error: 0.7073, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8529, unweighted_recall: 0.7308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.8212, kappa: 0.6325, kb_relative_information_score: 0.5116, mean_absolute_error: 0.2518, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8225, number_of_instances: 45312, precision: 0.8223, predictive_accuracy: 0.8225, prior_entropy: 0.9835, relative_absolute_error: 0.5154, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7163, unweighted_recall: 0.8126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.916, kappa: 0.8281, kb_relative_information_score: 0.7866, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.916, predictive_accuracy: 0.916, prior_entropy: 0.9835, recall: 0.916, relative_absolute_error: 0.2217, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.5126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7781, f_measure: 0.7898, kappa: 0.5675, kb_relative_information_score: 0.5718, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7938, predictive_accuracy: 0.7929, prior_entropy: 0.9835, recall: 0.7929, relative_absolute_error: 0.4239, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.8872, kappa: 0.7689, kb_relative_information_score: 0.615, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8871, predictive_accuracy: 0.8873, prior_entropy: 0.9835, recall: 0.8873, relative_absolute_error: 0.4162, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2926, root_relative_squared_error: 0.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8479, kappa: 0.6873, kb_relative_information_score: 0.5096, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8497, predictive_accuracy: 0.8492, prior_entropy: 0.9835, recall: 0.8492, relative_absolute_error: 0.5241, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.6822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.8225, kappa: 0.6352, kb_relative_information_score: 0.5268, mean_absolute_error: 0.2418, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8234, predictive_accuracy: 0.8237, prior_entropy: 0.9835, recall: 0.8237, relative_absolute_error: 0.4948, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.7091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7389, f_measure: 0.7536, kappa: 0.4932, kb_relative_information_score: 0.5042, mean_absolute_error: 0.2398, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7641, predictive_accuracy: 0.7602, prior_entropy: 0.9835, recall: 0.7602, relative_absolute_error: 0.4908, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4897, root_relative_squared_error: 0.9908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.8952, kappa: 0.7858, kb_relative_information_score: 0.6675, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8955, predictive_accuracy: 0.895, prior_entropy: 0.9835, recall: 0.895, relative_absolute_error: 0.3555, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.5696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8912, kappa: 0.7773, kb_relative_information_score: 0.775, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8912, predictive_accuracy: 0.8912, prior_entropy: 0.9835, recall: 0.8912, relative_absolute_error: 0.2227, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8912, kappa: 0.7773, kb_relative_information_score: 0.775, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8912, predictive_accuracy: 0.8912, prior_entropy: 0.9835, recall: 0.8912, relative_absolute_error: 0.2227, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.834, kappa: 0.6589, kb_relative_information_score: 0.4924, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8346, predictive_accuracy: 0.8349, prior_entropy: 0.9835, recall: 0.8349, relative_absolute_error: 0.5408, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3457, root_relative_squared_error: 0.6995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8912, kappa: 0.7773, kb_relative_information_score: 0.775, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8912, predictive_accuracy: 0.8912, prior_entropy: 0.9835, recall: 0.8912, relative_absolute_error: 0.2227, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8912, kappa: 0.7773, kb_relative_information_score: 0.775, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8912, predictive_accuracy: 0.8912, prior_entropy: 0.9835, recall: 0.8912, relative_absolute_error: 0.2227, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.7284, kappa: 0.442, kb_relative_information_score: 0.3222, mean_absolute_error: 0.3402, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7283, predictive_accuracy: 0.73, prior_entropy: 0.9835, recall: 0.73, relative_absolute_error: 0.6962, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.9037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.8374, kappa: 0.6666, kb_relative_information_score: 0.5908, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8374, predictive_accuracy: 0.8378, prior_entropy: 0.9835, recall: 0.8378, relative_absolute_error: 0.4194, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8909, kappa: 0.7768, kb_relative_information_score: 0.7745, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.891, predictive_accuracy: 0.8909, prior_entropy: 0.9835, recall: 0.8909, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.8786, kappa: 0.7521, kb_relative_information_score: 0.6295, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8791, predictive_accuracy: 0.8784, prior_entropy: 0.9835, recall: 0.8784, relative_absolute_error: 0.3939, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.6065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8912, kappa: 0.7773, kb_relative_information_score: 0.775, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8912, predictive_accuracy: 0.8912, prior_entropy: 0.9835, recall: 0.8912, relative_absolute_error: 0.2227, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8909, kappa: 0.7768, kb_relative_information_score: 0.7745, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.891, predictive_accuracy: 0.8909, prior_entropy: 0.9835, recall: 0.8909, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8912, kappa: 0.7773, kb_relative_information_score: 0.775, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8912, predictive_accuracy: 0.8912, prior_entropy: 0.9835, recall: 0.8912, relative_absolute_error: 0.2227, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.8786, kappa: 0.7521, kb_relative_information_score: 0.6295, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8791, predictive_accuracy: 0.8784, prior_entropy: 0.9835, recall: 0.8784, relative_absolute_error: 0.3939, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.6065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.8374, kappa: 0.6666, kb_relative_information_score: 0.5908, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8374, predictive_accuracy: 0.8378, prior_entropy: 0.9835, recall: 0.8378, relative_absolute_error: 0.4194, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.7284, kappa: 0.442, kb_relative_information_score: 0.3222, mean_absolute_error: 0.3402, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7283, predictive_accuracy: 0.73, prior_entropy: 0.9835, recall: 0.73, relative_absolute_error: 0.6962, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.9037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.8872, kappa: 0.7689, kb_relative_information_score: 0.615, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8871, predictive_accuracy: 0.8873, prior_entropy: 0.9835, recall: 0.8873, relative_absolute_error: 0.4162, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2926, root_relative_squared_error: 0.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.916, kappa: 0.8281, kb_relative_information_score: 0.7866, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.916, predictive_accuracy: 0.916, prior_entropy: 0.9835, recall: 0.916, relative_absolute_error: 0.2217, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.5126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.8625, kappa: 0.7177, kb_relative_information_score: 0.531, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8632, predictive_accuracy: 0.8632, prior_entropy: 0.9835, recall: 0.8632, relative_absolute_error: 0.5036, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.6625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9196, kappa: 0.8354, kb_relative_information_score: 0.8016, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9196, predictive_accuracy: 0.9196, prior_entropy: 0.9835, recall: 0.9196, relative_absolute_error: 0.2052, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.248, root_relative_squared_error: 0.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 0.2912, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 0.2912, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.924, kappa: 0.8443, kb_relative_information_score: 0.7386, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.924, predictive_accuracy: 0.9241, prior_entropy: 0.9835, recall: 0.9241, relative_absolute_error: 0.2849, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.4852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9235, kappa: 0.8433, kb_relative_information_score: 0.7368, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9235, predictive_accuracy: 0.9236, prior_entropy: 0.9835, recall: 0.9236, relative_absolute_error: 0.2867, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.4871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.9025, kappa: 0.8005, kb_relative_information_score: 0.7446, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9025, predictive_accuracy: 0.9025, prior_entropy: 0.9835, recall: 0.9025, relative_absolute_error: 0.2709, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.9082, kappa: 0.812, kb_relative_information_score: 0.7774, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9082, predictive_accuracy: 0.9081, prior_entropy: 0.9835, recall: 0.9081, relative_absolute_error: 0.2315, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2842, root_relative_squared_error: 0.5749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9233, kappa: 0.843, kb_relative_information_score: 0.8071, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9233, predictive_accuracy: 0.9234, prior_entropy: 0.9835, recall: 0.9234, relative_absolute_error: 0.2013, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.4903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6624, f_measure: 0.6774, kappa: 0.3384, kb_relative_information_score: 0.3588, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6907, predictive_accuracy: 0.6898, prior_entropy: 0.9835, recall: 0.6898, relative_absolute_error: 0.6348, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5569, root_relative_squared_error: 1.1268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7883, f_measure: 0.7055, kappa: 0.4088, kb_relative_information_score: 0.391, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7706, predictive_accuracy: 0.7306, prior_entropy: 0.9835, recall: 0.7306, relative_absolute_error: 0.6168, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4577, root_relative_squared_error: 0.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7398, f_measure: 0.7544, kappa: 0.4948, kb_relative_information_score: 0.5054, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7643, predictive_accuracy: 0.7607, prior_entropy: 0.9835, recall: 0.7607, relative_absolute_error: 0.4897, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4891, root_relative_squared_error: 0.9896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7608, f_measure: 0.7741, kappa: 0.535, kb_relative_information_score: 0.5421, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7806, predictive_accuracy: 0.7785, prior_entropy: 0.9835, recall: 0.7785, relative_absolute_error: 0.4533, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4706, root_relative_squared_error: 0.9522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.8124, kappa: 0.6141, kb_relative_information_score: 0.6158, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8142, predictive_accuracy: 0.8141, prior_entropy: 0.9835, recall: 0.8141, relative_absolute_error: 0.3804, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.8722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, f_measure: 0.7602, kappa: 0.5067, kb_relative_information_score: 0.517, mean_absolute_error: 0.2336, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7703, predictive_accuracy: 0.7664, prior_entropy: 0.9835, recall: 0.7664, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4834, root_relative_squared_error: 0.9779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, f_measure: 0.8544, kappa: 0.7013, kb_relative_information_score: 0.6997, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8544, predictive_accuracy: 0.8548, prior_entropy: 0.9835, recall: 0.8548, relative_absolute_error: 0.2972, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.7791, kappa: 0.5453, kb_relative_information_score: 0.5507, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7837, predictive_accuracy: 0.7827, prior_entropy: 0.9835, recall: 0.7827, relative_absolute_error: 0.4448, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6323, f_measure: 0.6407, kappa: 0.2647, kb_relative_information_score: 0.2573, mean_absolute_error: 0.3592, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6407, predictive_accuracy: 0.6408, prior_entropy: 0.9835, recall: 0.6408, relative_absolute_error: 0.7352, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5994, root_relative_squared_error: 1.2126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7496, f_measure: 0.7641, kappa: 0.5146, kb_relative_information_score: 0.5245, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.774, predictive_accuracy: 0.77, prior_entropy: 0.9835, recall: 0.77, relative_absolute_error: 0.4707, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.7688, kappa: 0.5243, kb_relative_information_score: 0.5335, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7782, predictive_accuracy: 0.7744, prior_entropy: 0.9835, recall: 0.7744, relative_absolute_error: 0.4618, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.475, root_relative_squared_error: 0.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.8542, kappa: 0.7015, kb_relative_information_score: 0.6988, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8542, predictive_accuracy: 0.8543, prior_entropy: 0.9835, recall: 0.8543, relative_absolute_error: 0.2982, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.7723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.804, kappa: 0.5968, kb_relative_information_score: 0.5992, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8064, predictive_accuracy: 0.8061, prior_entropy: 0.9835, recall: 0.8061, relative_absolute_error: 0.3968, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4403, root_relative_squared_error: 0.8908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, f_measure: 0.7543, kappa: 0.4946, kb_relative_information_score: 0.5052, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7642, predictive_accuracy: 0.7606, prior_entropy: 0.9835, recall: 0.7606, relative_absolute_error: 0.4899, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.9898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.735, f_measure: 0.7512, kappa: 0.4896, kb_relative_information_score: 0.5051, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7703, predictive_accuracy: 0.7606, prior_entropy: 0.9835, recall: 0.7606, relative_absolute_error: 0.49, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4893, root_relative_squared_error: 0.9899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, f_measure: 0.8294, kappa: 0.6492, kb_relative_information_score: 0.6499, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8307, predictive_accuracy: 0.8307, prior_entropy: 0.9835, recall: 0.8307, relative_absolute_error: 0.3466, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.8325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.7783, kappa: 0.5436, kb_relative_information_score: 0.5492, mean_absolute_error: 0.2181, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7831, predictive_accuracy: 0.7819, prior_entropy: 0.9835, recall: 0.7819, relative_absolute_error: 0.4463, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.467, root_relative_squared_error: 0.9448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7403, f_measure: 0.755, kappa: 0.4961, kb_relative_information_score: 0.5069, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7653, predictive_accuracy: 0.7615, prior_entropy: 0.9835, recall: 0.7615, relative_absolute_error: 0.4882, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4884, root_relative_squared_error: 0.9881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.771, f_measure: 0.7829, kappa: 0.5532, kb_relative_information_score: 0.5579, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7869, predictive_accuracy: 0.7861, prior_entropy: 0.9835, recall: 0.7861, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4624, root_relative_squared_error: 0.9356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6557, f_measure: 0.6635, kappa: 0.3113, kb_relative_information_score: 0.3044, mean_absolute_error: 0.3365, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6635, predictive_accuracy: 0.6635, prior_entropy: 0.9835, recall: 0.6635, relative_absolute_error: 0.6887, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5801, root_relative_squared_error: 1.1736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8061, f_measure: 0.8158, kappa: 0.6211, kb_relative_information_score: 0.6228, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8177, predictive_accuracy: 0.8175, prior_entropy: 0.9835, recall: 0.8175, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, f_measure: 0.7543, kappa: 0.4946, kb_relative_information_score: 0.5052, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7642, predictive_accuracy: 0.7607, prior_entropy: 0.9835, recall: 0.7607, relative_absolute_error: 0.4898, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.9898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.8416, kappa: 0.675, kb_relative_information_score: 0.6738, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8418, predictive_accuracy: 0.8422, prior_entropy: 0.9835, recall: 0.8422, relative_absolute_error: 0.3229, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7535, f_measure: 0.7677, kappa: 0.5219, kb_relative_information_score: 0.5308, mean_absolute_error: 0.2269, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7764, predictive_accuracy: 0.7731, prior_entropy: 0.9835, recall: 0.7731, relative_absolute_error: 0.4645, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4764, root_relative_squared_error: 0.9638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.7935, kappa: 0.575, kb_relative_information_score: 0.5784, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7965, predictive_accuracy: 0.7961, prior_entropy: 0.9835, recall: 0.7961, relative_absolute_error: 0.4174, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4516, root_relative_squared_error: 0.9137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.7891, kappa: 0.5659, kb_relative_information_score: 0.5699, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7926, predictive_accuracy: 0.792, prior_entropy: 0.9835, recall: 0.792, relative_absolute_error: 0.4258, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7894, f_measure: 0.8003, kappa: 0.5891, kb_relative_information_score: 0.5922, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8032, predictive_accuracy: 0.8027, prior_entropy: 0.9835, recall: 0.8027, relative_absolute_error: 0.4037, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.8986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, f_measure: 0.7799, kappa: 0.547, kb_relative_information_score: 0.5524, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7847, predictive_accuracy: 0.7835, prior_entropy: 0.9835, recall: 0.7835, relative_absolute_error: 0.4431, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4653, root_relative_squared_error: 0.9414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.8243, kappa: 0.6388, kb_relative_information_score: 0.6398, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8259, predictive_accuracy: 0.8258, prior_entropy: 0.9835, recall: 0.8258, relative_absolute_error: 0.3565, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.8445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.7534, kappa: 0.4936, kb_relative_information_score: 0.5073, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7691, predictive_accuracy: 0.7617, prior_entropy: 0.9835, recall: 0.7617, relative_absolute_error: 0.4878, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4882, root_relative_squared_error: 0.9877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5387, f_measure: 0.5492, kappa: 0.0775, kb_relative_information_score: 0.0681, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.5492, predictive_accuracy: 0.5492, prior_entropy: 0.9835, recall: 0.5492, relative_absolute_error: 0.9226, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6714, root_relative_squared_error: 1.3584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7541, kappa: 0.4942, kb_relative_information_score: 0.5047, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.764, predictive_accuracy: 0.7604, prior_entropy: 0.9835, recall: 0.7604, relative_absolute_error: 0.4903, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4894, root_relative_squared_error: 0.9902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7654, f_measure: 0.7779, kappa: 0.5429, kb_relative_information_score: 0.5486, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7829, predictive_accuracy: 0.7817, prior_entropy: 0.9835, recall: 0.7817, relative_absolute_error: 0.4468, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4673, root_relative_squared_error: 0.9453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7684, f_measure: 0.7803, kappa: 0.5478, kb_relative_information_score: 0.5525, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7842, predictive_accuracy: 0.7835, prior_entropy: 0.9835, recall: 0.7835, relative_absolute_error: 0.443, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4653, root_relative_squared_error: 0.9413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7246, f_measure: 0.7412, kappa: 0.4706, kb_relative_information_score: 0.4896, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7667, predictive_accuracy: 0.7531, prior_entropy: 0.9835, recall: 0.7531, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.7654, kappa: 0.5175, kb_relative_information_score: 0.5277, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7761, predictive_accuracy: 0.7715, prior_entropy: 0.9835, recall: 0.7715, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.478, root_relative_squared_error: 0.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, f_measure: 0.7902, kappa: 0.5683, kb_relative_information_score: 0.5719, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7934, predictive_accuracy: 0.7929, prior_entropy: 0.9835, recall: 0.7929, relative_absolute_error: 0.4238, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7617, f_measure: 0.7748, kappa: 0.5365, kb_relative_information_score: 0.5433, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.781, predictive_accuracy: 0.7791, prior_entropy: 0.9835, recall: 0.7791, relative_absolute_error: 0.4521, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.47, root_relative_squared_error: 0.9509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7725, f_measure: 0.7843, kappa: 0.556, kb_relative_information_score: 0.5605, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7881, predictive_accuracy: 0.7874, prior_entropy: 0.9835, recall: 0.7874, relative_absolute_error: 0.4351, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.7812, kappa: 0.5495, kb_relative_information_score: 0.5548, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7857, predictive_accuracy: 0.7846, prior_entropy: 0.9835, recall: 0.7846, relative_absolute_error: 0.4408, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4641, root_relative_squared_error: 0.9389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.8317, kappa: 0.6543, kb_relative_information_score: 0.654, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8323, predictive_accuracy: 0.8326, prior_entropy: 0.9835, recall: 0.8326, relative_absolute_error: 0.3425, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.7531, kappa: 0.4927, kb_relative_information_score: 0.5056, mean_absolute_error: 0.2391, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7671, predictive_accuracy: 0.7609, prior_entropy: 0.9835, recall: 0.7609, relative_absolute_error: 0.4894, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.489, root_relative_squared_error: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.8333, kappa: 0.6574, kb_relative_information_score: 0.6578, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8345, predictive_accuracy: 0.8345, prior_entropy: 0.9835, recall: 0.8345, relative_absolute_error: 0.3388, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, f_measure: 0.7543, kappa: 0.4947, kb_relative_information_score: 0.5053, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7643, predictive_accuracy: 0.7607, prior_entropy: 0.9835, recall: 0.7607, relative_absolute_error: 0.4898, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.9897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7902, f_measure: 0.8009, kappa: 0.5903, kb_relative_information_score: 0.5932, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8037, predictive_accuracy: 0.8032, prior_entropy: 0.9835, recall: 0.8032, relative_absolute_error: 0.4027, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.8975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.7821, kappa: 0.5515, kb_relative_information_score: 0.5561, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.786, predictive_accuracy: 0.7853, prior_entropy: 0.9835, recall: 0.7853, relative_absolute_error: 0.4394, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7527, f_measure: 0.767, kappa: 0.5206, kb_relative_information_score: 0.53, mean_absolute_error: 0.2274, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7764, predictive_accuracy: 0.7726, prior_entropy: 0.9835, recall: 0.7726, relative_absolute_error: 0.4653, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4768, root_relative_squared_error: 0.9647,

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