OpenML
Supervised Classification on electricity

Supervised Classification on electricity

Task 219 Supervised Classification electricity 77839 runs submitted
0 likes downloaded by 2 people , 3 total downloads 0 issues
Visibility: Public
  • 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
Issue #Downvotes for this reason By


Metric:

77839 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.924, kappa: 0.8445, kb_relative_information_score: 0.7737, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.4886, weighted_recall: 0.924, number_of_instances: 45312, precision: 0.924, predictive_accuracy: 0.924, prior_entropy: 0.9835, relative_absolute_error: 0.242, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.4832, unweighted_recall: 0.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9047, kappa: 0.8048, kb_relative_information_score: 0.6899, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.4886, weighted_recall: 0.9047, number_of_instances: 45312, precision: 0.9046, predictive_accuracy: 0.9047, prior_entropy: 0.9835, relative_absolute_error: 0.3348, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.266, root_relative_squared_error: 0.5383, unweighted_recall: 0.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9262, kappa: 0.8489, kb_relative_information_score: 0.782, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.4886, weighted_recall: 0.9262, number_of_instances: 45312, precision: 0.9262, predictive_accuracy: 0.9262, prior_entropy: 0.9835, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.4733, unweighted_recall: 0.9242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6498, f_measure: 0.6153, kappa: 0.2082, kb_relative_information_score: 0.1202, mean_absolute_error: 0.4346, mean_prior_absolute_error: 0.4886, weighted_recall: 0.6213, number_of_instances: 45312, precision: 0.6152, predictive_accuracy: 0.6213, prior_entropy: 0.9835, relative_absolute_error: 0.8894, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4894, root_relative_squared_error: 0.9901, unweighted_recall: 0.6019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8516, kappa: 0.6954, kb_relative_information_score: 0.5178, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8523, number_of_instances: 45312, precision: 0.8521, predictive_accuracy: 0.8523, prior_entropy: 0.9835, relative_absolute_error: 0.5171, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.6696, unweighted_recall: 0.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.7896, kappa: 0.567, kb_relative_information_score: 0.4298, mean_absolute_error: 0.2927, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7921, number_of_instances: 45312, precision: 0.7922, predictive_accuracy: 0.7921, prior_entropy: 0.9835, relative_absolute_error: 0.5991, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.382, root_relative_squared_error: 0.7728, unweighted_recall: 0.7786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.7667, kappa: 0.5198, kb_relative_information_score: 0.3776, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7707, number_of_instances: 45312, precision: 0.7715, predictive_accuracy: 0.7707, prior_entropy: 0.9835, relative_absolute_error: 0.6505, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.8059, unweighted_recall: 0.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.8046, kappa: 0.5982, kb_relative_information_score: 0.4716, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8064, number_of_instances: 45312, precision: 0.8063, predictive_accuracy: 0.8064, prior_entropy: 0.9835, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.7455, unweighted_recall: 0.7948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.7765, kappa: 0.54, kb_relative_information_score: 0.3986, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7796, number_of_instances: 45312, precision: 0.7798, predictive_accuracy: 0.7796, prior_entropy: 0.9835, relative_absolute_error: 0.6291, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.7925, unweighted_recall: 0.7648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8135, kappa: 0.6167, kb_relative_information_score: 0.4953, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4886, weighted_recall: 0.815, number_of_instances: 45312, precision: 0.8148, predictive_accuracy: 0.815, prior_entropy: 0.9835, relative_absolute_error: 0.5321, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.7286, unweighted_recall: 0.8045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8548, f_measure: 0.7812, kappa: 0.5497, kb_relative_information_score: 0.4061, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7838, number_of_instances: 45312, precision: 0.7837, predictive_accuracy: 0.7838, prior_entropy: 0.9835, relative_absolute_error: 0.6218, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.389, root_relative_squared_error: 0.7869, unweighted_recall: 0.7701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, f_measure: 0.7841, kappa: 0.5556, kb_relative_information_score: 0.4164, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7867, number_of_instances: 45312, precision: 0.7867, predictive_accuracy: 0.7867, prior_entropy: 0.9835, relative_absolute_error: 0.6122, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7808, unweighted_recall: 0.7729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8452, kappa: 0.6823, kb_relative_information_score: 0.5695, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8458, number_of_instances: 45312, precision: 0.8454, predictive_accuracy: 0.8458, prior_entropy: 0.9835, relative_absolute_error: 0.4572, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.6755, unweighted_recall: 0.8388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8575, f_measure: 0.7829, kappa: 0.5532, kb_relative_information_score: 0.4132, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7856, number_of_instances: 45312, precision: 0.7856, predictive_accuracy: 0.7856, prior_entropy: 0.9835, relative_absolute_error: 0.6154, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.7832, unweighted_recall: 0.7717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.856, kappa: 0.7048, kb_relative_information_score: 0.5788, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8564, number_of_instances: 45312, precision: 0.856, predictive_accuracy: 0.8564, prior_entropy: 0.9835, relative_absolute_error: 0.4501, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.6638, unweighted_recall: 0.8509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.803, kappa: 0.5949, kb_relative_information_score: 0.4682, mean_absolute_error: 0.2738, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8049, number_of_instances: 45312, precision: 0.8049, predictive_accuracy: 0.8049, prior_entropy: 0.9835, relative_absolute_error: 0.5603, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.7481, unweighted_recall: 0.7931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.7984, kappa: 0.5853, kb_relative_information_score: 0.4526, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8005, number_of_instances: 45312, precision: 0.8005, predictive_accuracy: 0.8005, prior_entropy: 0.9835, relative_absolute_error: 0.5762, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.7582, unweighted_recall: 0.7882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.8537, kappa: 0.7002, kb_relative_information_score: 0.5703, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.4886, weighted_recall: 0.854, number_of_instances: 45312, precision: 0.8537, predictive_accuracy: 0.854, prior_entropy: 0.9835, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6682, unweighted_recall: 0.8489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.8019, kappa: 0.5925, kb_relative_information_score: 0.461, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8036, number_of_instances: 45312, precision: 0.8033, predictive_accuracy: 0.8036, prior_entropy: 0.9835, relative_absolute_error: 0.5671, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.7511, unweighted_recall: 0.7923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.6165, kappa: 0.2111, kb_relative_information_score: 0.1303, mean_absolute_error: 0.429, mean_prior_absolute_error: 0.4886, weighted_recall: 0.6201, number_of_instances: 45312, precision: 0.6155, predictive_accuracy: 0.6201, prior_entropy: 0.9835, relative_absolute_error: 0.8781, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4953, root_relative_squared_error: 1.0021, unweighted_recall: 0.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8162, kappa: 0.6222, kb_relative_information_score: 0.5017, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8177, number_of_instances: 45312, precision: 0.8176, predictive_accuracy: 0.8177, prior_entropy: 0.9835, relative_absolute_error: 0.5265, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7258, unweighted_recall: 0.8072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8547, f_measure: 0.7812, kappa: 0.5497, kb_relative_information_score: 0.4054, mean_absolute_error: 0.3042, mean_prior_absolute_error: 0.4886, weighted_recall: 0.784, number_of_instances: 45312, precision: 0.784, predictive_accuracy: 0.784, prior_entropy: 0.9835, relative_absolute_error: 0.6225, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3891, root_relative_squared_error: 0.7871, unweighted_recall: 0.7699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.8038, kappa: 0.5965, kb_relative_information_score: 0.4684, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8057, number_of_instances: 45312, precision: 0.8056, predictive_accuracy: 0.8057, prior_entropy: 0.9835, relative_absolute_error: 0.5599, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.7478, unweighted_recall: 0.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.857, kappa: 0.7067, kb_relative_information_score: 0.5871, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8574, number_of_instances: 45312, precision: 0.8571, predictive_accuracy: 0.8574, prior_entropy: 0.9835, relative_absolute_error: 0.4387, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.6531, unweighted_recall: 0.8515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.7711, kappa: 0.5288, kb_relative_information_score: 0.3878, mean_absolute_error: 0.3127, mean_prior_absolute_error: 0.4886, weighted_recall: 0.7747, number_of_instances: 45312, precision: 0.7752, predictive_accuracy: 0.7747, prior_entropy: 0.9835, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.7989, unweighted_recall: 0.7588,
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,

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

OpenML bootcamp

From your own software

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

OpenML APIs