OpenML
Supervised Classification on electricity

Supervised Classification on electricity

Task 219 Supervised Classification electricity 77718 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:

77718 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: 0.9502, f_measure: 0.8765, kappa: 0.7469, kb_relative_information_score: 0.6548, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8764, predictive_accuracy: 0.8766, prior_entropy: 0.9835, recall: 0.8766, relative_absolute_error: 0.3642, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.5993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.8336, kappa: 0.6586, kb_relative_information_score: 0.5148, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8336, predictive_accuracy: 0.8341, prior_entropy: 0.9835, recall: 0.8341, relative_absolute_error: 0.5127, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.6973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.7569, kappa: 0.4997, kb_relative_information_score: 15997.3229, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7623, predictive_accuracy: 0.7615, prior_entropy: 0.9835, recall: 0.7615, relative_absolute_error: 0.6752, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1293.7282, usercpu_time_millis: 4996.968, usercpu_time_millis_testing: 26.395, usercpu_time_millis_training: 4970.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.8691, kappa: 0.7318, kb_relative_information_score: 0.5912, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8691, predictive_accuracy: 0.8694, prior_entropy: 0.9835, recall: 0.8694, relative_absolute_error: 0.4375, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9337, kappa: 0.8644, kb_relative_information_score: 0.7919, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9337, predictive_accuracy: 0.9338, prior_entropy: 0.9835, recall: 0.9338, relative_absolute_error: 0.2249, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.4527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.8211, kappa: 0.6325, kb_relative_information_score: 0.4853, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8215, predictive_accuracy: 0.822, prior_entropy: 0.9835, recall: 0.822, relative_absolute_error: 0.5428, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3561, root_relative_squared_error: 0.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.8348, kappa: 0.6612, kb_relative_information_score: 0.5453, mean_absolute_error: 0.2332, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8347, predictive_accuracy: 0.8352, prior_entropy: 0.9835, recall: 0.8352, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.6902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.8539, kappa: 0.7005, kb_relative_information_score: 0.5828, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8539, predictive_accuracy: 0.8542, prior_entropy: 0.9835, recall: 0.8542, relative_absolute_error: 0.4408, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.832, kappa: 0.6554, kb_relative_information_score: 0.5367, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.832, predictive_accuracy: 0.8325, prior_entropy: 0.9835, recall: 0.8325, relative_absolute_error: 0.4866, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3432, root_relative_squared_error: 0.6944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.8849, kappa: 0.7641, kb_relative_information_score: 0.6334, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8848, predictive_accuracy: 0.885, prior_entropy: 0.9835, recall: 0.885, relative_absolute_error: 0.3937, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.5862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8348, kappa: 0.661, kb_relative_information_score: 0.5317, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8348, predictive_accuracy: 0.8352, prior_entropy: 0.9835, recall: 0.8352, relative_absolute_error: 0.494, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.6888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.8692, kappa: 0.7322, kb_relative_information_score: 0.6663, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8692, predictive_accuracy: 0.8694, prior_entropy: 0.9835, recall: 0.8694, relative_absolute_error: 0.3465, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3154, root_relative_squared_error: 0.6382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.7667, kappa: 0.5209, kb_relative_information_score: 0.3549, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7837, predictive_accuracy: 0.7746, prior_entropy: 0.9835, recall: 0.7746, relative_absolute_error: 0.6797, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.7895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9162, kappa: 0.8285, kb_relative_information_score: 0.7634, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9162, predictive_accuracy: 0.9162, prior_entropy: 0.9835, recall: 0.9162, relative_absolute_error: 0.2506, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2493, root_relative_squared_error: 0.5044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, f_measure: 0.7104, kappa: 0.4041, kb_relative_information_score: 0.2537, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7161, predictive_accuracy: 0.7169, prior_entropy: 0.9835, recall: 0.7169, relative_absolute_error: 0.7719, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.8764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.8439, kappa: 0.68, kb_relative_information_score: 0.5434, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8439, predictive_accuracy: 0.8443, prior_entropy: 0.9835, recall: 0.8443, relative_absolute_error: 0.4843, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3301, root_relative_squared_error: 0.6679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.8772, kappa: 0.7485, kb_relative_information_score: 0.6492, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8772, predictive_accuracy: 0.8773, prior_entropy: 0.9835, recall: 0.8773, relative_absolute_error: 0.3712, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.297, root_relative_squared_error: 0.6009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8629, kappa: 0.7188, kb_relative_information_score: 0.5824, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8628, predictive_accuracy: 0.8631, prior_entropy: 0.9835, recall: 0.8631, relative_absolute_error: 0.4458, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.313, root_relative_squared_error: 0.6333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.843, kappa: 0.6779, kb_relative_information_score: 0.532, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.843, predictive_accuracy: 0.8435, prior_entropy: 0.9835, recall: 0.8435, relative_absolute_error: 0.4965, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3345, root_relative_squared_error: 0.6768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.8724, kappa: 0.7385, kb_relative_information_score: 0.6292, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8723, predictive_accuracy: 0.8725, prior_entropy: 0.9835, recall: 0.8725, relative_absolute_error: 0.393, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.6114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.8713, kappa: 0.7363, kb_relative_information_score: 0.6542, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8712, predictive_accuracy: 0.8714, prior_entropy: 0.9835, recall: 0.8714, relative_absolute_error: 0.3626, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.6099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.8334, kappa: 0.6582, kb_relative_information_score: 0.5456, mean_absolute_error: 0.2326, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8334, predictive_accuracy: 0.8339, prior_entropy: 0.9835, recall: 0.8339, relative_absolute_error: 0.4761, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.6942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8155, kappa: 0.6207, kb_relative_information_score: 0.4557, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8164, predictive_accuracy: 0.8168, prior_entropy: 0.9835, recall: 0.8168, relative_absolute_error: 0.5774, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.7297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8436, kappa: 0.6793, kb_relative_information_score: 0.556, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8436, predictive_accuracy: 0.844, prior_entropy: 0.9835, recall: 0.844, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3308, root_relative_squared_error: 0.6692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.7877, kappa: 0.563, kb_relative_information_score: 0.3989, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7953, predictive_accuracy: 0.792, prior_entropy: 0.9835, recall: 0.792, relative_absolute_error: 0.6354, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.7763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.8968, kappa: 0.7886, kb_relative_information_score: 0.7123, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8967, predictive_accuracy: 0.8968, prior_entropy: 0.9835, recall: 0.8968, relative_absolute_error: 0.3036, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8329, kappa: 0.6571, kb_relative_information_score: 0.5291, mean_absolute_error: 0.2423, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8331, predictive_accuracy: 0.8336, prior_entropy: 0.9835, recall: 0.8336, relative_absolute_error: 0.496, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.6915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.8654, kappa: 0.7242, kb_relative_information_score: 0.6418, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8653, predictive_accuracy: 0.8655, prior_entropy: 0.9835, recall: 0.8655, relative_absolute_error: 0.3742, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.314, root_relative_squared_error: 0.6353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8297, kappa: 0.6506, kb_relative_information_score: 0.4996, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8299, predictive_accuracy: 0.8304, prior_entropy: 0.9835, recall: 0.8304, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.7007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8228, kappa: 0.6363, kb_relative_information_score: 0.5213, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8228, predictive_accuracy: 0.8234, prior_entropy: 0.9835, recall: 0.8234, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.7971, kappa: 0.5828, kb_relative_information_score: 0.4333, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7979, predictive_accuracy: 0.7986, prior_entropy: 0.9835, recall: 0.7986, relative_absolute_error: 0.5963, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3735, root_relative_squared_error: 0.7557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.7887, kappa: 0.565, kb_relative_information_score: 0.4134, mean_absolute_error: 0.3017, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7954, predictive_accuracy: 0.7927, prior_entropy: 0.9835, recall: 0.7927, relative_absolute_error: 0.6174, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.8075, kappa: 0.6041, kb_relative_information_score: 0.4406, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8088, predictive_accuracy: 0.8091, prior_entropy: 0.9835, recall: 0.8091, relative_absolute_error: 0.5926, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.7409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5639, f_measure: 0.59, kappa: 0.1977, kb_relative_information_score: 0.1295, mean_absolute_error: 0.4237, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.617, predictive_accuracy: 0.5899, prior_entropy: 0.9835, recall: 0.5899, relative_absolute_error: 0.8671, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6319, root_relative_squared_error: 1.2785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.8523, kappa: 0.6972, kb_relative_information_score: 0.5489, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8523, predictive_accuracy: 0.8527, prior_entropy: 0.9835, recall: 0.8527, relative_absolute_error: 0.4826, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.6557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.7935, kappa: 0.575, kb_relative_information_score: 0.3955, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8017, predictive_accuracy: 0.7978, prior_entropy: 0.9835, recall: 0.7978, relative_absolute_error: 0.641, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.7593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.8177, kappa: 0.6257, kb_relative_information_score: 0.4947, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8181, predictive_accuracy: 0.8186, prior_entropy: 0.9835, recall: 0.8186, relative_absolute_error: 0.5309, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3558, root_relative_squared_error: 0.7199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.7677, kappa: 0.5227, kb_relative_information_score: 0.3494, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7822, predictive_accuracy: 0.7749, prior_entropy: 0.9835, recall: 0.7749, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3913, root_relative_squared_error: 0.7918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9406, kappa: 0.8784, kb_relative_information_score: 0.8122, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9406, predictive_accuracy: 0.9406, prior_entropy: 0.9835, recall: 0.9406, relative_absolute_error: 0.2036, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.4273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.7176, kappa: 0.4188, kb_relative_information_score: 0.2662, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7191, predictive_accuracy: 0.7211, prior_entropy: 0.9835, recall: 0.7211, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8439, kappa: 0.6799, kb_relative_information_score: 0.5505, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8439, predictive_accuracy: 0.8443, prior_entropy: 0.9835, recall: 0.8443, relative_absolute_error: 0.4754, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.6699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.7996, kappa: 0.5881, kb_relative_information_score: 0.4728, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8004, predictive_accuracy: 0.801, prior_entropy: 0.9835, recall: 0.801, relative_absolute_error: 0.5497, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.8412, kappa: 0.6742, kb_relative_information_score: 0.5268, mean_absolute_error: 0.2453, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8412, predictive_accuracy: 0.8417, prior_entropy: 0.9835, recall: 0.8417, relative_absolute_error: 0.502, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.6809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.8581, kappa: 0.709, kb_relative_information_score: 0.5727, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8581, predictive_accuracy: 0.8584, prior_entropy: 0.9835, recall: 0.8584, relative_absolute_error: 0.4547, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.6429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8493, kappa: 0.6908, kb_relative_information_score: 0.548, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8493, predictive_accuracy: 0.8497, prior_entropy: 0.9835, recall: 0.8497, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.6628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8347, kappa: 0.6612, kb_relative_information_score: 0.5649, mean_absolute_error: 0.2218, 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: 0.4539, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.6901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.7846, kappa: 0.557, kb_relative_information_score: 0.3808, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7961, predictive_accuracy: 0.7902, prior_entropy: 0.9835, recall: 0.7902, relative_absolute_error: 0.6547, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7862, f_measure: 0.7195, kappa: 0.423, kb_relative_information_score: 0.27, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.72, predictive_accuracy: 0.7221, prior_entropy: 0.9835, recall: 0.7221, relative_absolute_error: 0.7536, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.8698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.88, kappa: 0.7543, kb_relative_information_score: 0.6365, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.88, predictive_accuracy: 0.8802, prior_entropy: 0.9835, recall: 0.8802, relative_absolute_error: 0.3882, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.7196, kappa: 0.4234, kb_relative_information_score: 0.27, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7201, predictive_accuracy: 0.7221, prior_entropy: 0.9835, recall: 0.7221, relative_absolute_error: 0.7535, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.43, root_relative_squared_error: 0.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9333, kappa: 0.8635, kb_relative_information_score: 0.772, mean_absolute_error: 0.1219, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9333, predictive_accuracy: 0.9334, prior_entropy: 0.9835, recall: 0.9334, relative_absolute_error: 0.2494, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.4564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.8842, kappa: 0.7628, kb_relative_information_score: 0.6444, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8841, predictive_accuracy: 0.8843, prior_entropy: 0.9835, recall: 0.8843, relative_absolute_error: 0.3807, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.5828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.8986, kappa: 0.7924, kb_relative_information_score: 0.7286, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8986, predictive_accuracy: 0.8987, prior_entropy: 0.9835, recall: 0.8987, relative_absolute_error: 0.2854, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2695, root_relative_squared_error: 0.5452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8427, kappa: 0.6773, kb_relative_information_score: 0.55, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8426, predictive_accuracy: 0.843, prior_entropy: 0.9835, recall: 0.843, relative_absolute_error: 0.4759, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.6702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.8497, kappa: 0.6916, kb_relative_information_score: 0.5429, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8497, predictive_accuracy: 0.8501, prior_entropy: 0.9835, recall: 0.8501, relative_absolute_error: 0.4863, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6432, f_measure: 0.664, kappa: 0.3126, kb_relative_information_score: 0.2948, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6641, predictive_accuracy: 0.664, prior_entropy: 0.9835, recall: 0.664, relative_absolute_error: 0.7005, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5752, root_relative_squared_error: 1.1637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9118, kappa: 0.8195, kb_relative_information_score: 0.7074, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9118, predictive_accuracy: 0.9118, prior_entropy: 0.9835, recall: 0.9118, relative_absolute_error: 0.3173, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.5185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7563, kappa: 0.5007, kb_relative_information_score: 0.2873, mean_absolute_error: 0.3669, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7785, predictive_accuracy: 0.7662, prior_entropy: 0.9835, recall: 0.7662, relative_absolute_error: 0.7509, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.8345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8144, kappa: 0.6188, kb_relative_information_score: 0.4846, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8147, predictive_accuracy: 0.8153, prior_entropy: 0.9835, recall: 0.8153, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.8708, kappa: 0.7355, kb_relative_information_score: 0.7149, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8708, predictive_accuracy: 0.8709, prior_entropy: 0.9835, recall: 0.8709, relative_absolute_error: 0.2872, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.6444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.749, kappa: 0.4846, kb_relative_information_score: 0.2271, mean_absolute_error: 0.3967, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7652, predictive_accuracy: 0.7577, prior_entropy: 0.9835, recall: 0.7577, relative_absolute_error: 0.8119, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.7512, kappa: 0.4886, kb_relative_information_score: 0.3187, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7637, predictive_accuracy: 0.7586, prior_entropy: 0.9835, recall: 0.7586, relative_absolute_error: 0.7163, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.8403, kappa: 0.6727, kb_relative_information_score: 0.6275, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8402, predictive_accuracy: 0.8404, prior_entropy: 0.9835, recall: 0.8404, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.7044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8418, kappa: 0.6754, kb_relative_information_score: 0.5322, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8419, predictive_accuracy: 0.8423, prior_entropy: 0.9835, recall: 0.8423, relative_absolute_error: 0.4981, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.6732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.7198, kappa: 0.4236, kb_relative_information_score: 0.2693, mean_absolute_error: 0.3686, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7203, predictive_accuracy: 0.7224, prior_entropy: 0.9835, recall: 0.7224, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.8035, kappa: 0.596, kb_relative_information_score: 0.472, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8048, predictive_accuracy: 0.8052, prior_entropy: 0.9835, recall: 0.8052, relative_absolute_error: 0.5535, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.7455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.8942, kappa: 0.7832, kb_relative_information_score: 0.6577, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8941, predictive_accuracy: 0.8942, prior_entropy: 0.9835, recall: 0.8942, relative_absolute_error: 0.3684, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.5659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.7495, kappa: 0.4856, kb_relative_information_score: 0.2987, mean_absolute_error: 0.3604, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7649, predictive_accuracy: 0.7579, prior_entropy: 0.9835, recall: 0.7579, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.8906, kappa: 0.7759, kb_relative_information_score: 0.6831, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8905, predictive_accuracy: 0.8907, prior_entropy: 0.9835, recall: 0.8907, relative_absolute_error: 0.3365, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.5663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.923, kappa: 0.8423, kb_relative_information_score: 0.7488, mean_absolute_error: 0.1329, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.923, predictive_accuracy: 0.923, prior_entropy: 0.9835, recall: 0.923, relative_absolute_error: 0.272, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2403, root_relative_squared_error: 0.4863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7847, f_measure: 0.7168, kappa: 0.4173, kb_relative_information_score: 0.2644, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7182, predictive_accuracy: 0.7203, prior_entropy: 0.9835, recall: 0.7203, relative_absolute_error: 0.7596, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.8874, kappa: 0.7693, kb_relative_information_score: 0.622, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8874, predictive_accuracy: 0.8875, prior_entropy: 0.9835, recall: 0.8875, relative_absolute_error: 0.4101, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.289, root_relative_squared_error: 0.5848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.8411, kappa: 0.674, kb_relative_information_score: 0.5594, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8412, predictive_accuracy: 0.8416, prior_entropy: 0.9835, recall: 0.8416, relative_absolute_error: 0.4634, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3331, root_relative_squared_error: 0.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9029, kappa: 0.8013, kb_relative_information_score: 0.675, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9029, predictive_accuracy: 0.903, prior_entropy: 0.9835, recall: 0.903, relative_absolute_error: 0.3519, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.5456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.734, kappa: 0.4561, kb_relative_information_score: 14162.5562, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7343, predictive_accuracy: 0.7338, prior_entropy: 0.9835, recall: 0.7338, relative_absolute_error: 0.7091, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.8569, scimark_benchmark: 1318.0838, usercpu_time_millis: 12937.654, usercpu_time_millis_testing: 84.435, usercpu_time_millis_training: 12853.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5986, f_measure: 0.6107, kappa: 0.2171, kb_relative_information_score: 0.1852, mean_absolute_error: 0.3948, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.62, predictive_accuracy: 0.6084, prior_entropy: 0.9835, recall: 0.6084, relative_absolute_error: 0.8081, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6218, root_relative_squared_error: 1.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8305, kappa: 0.6522, kb_relative_information_score: 0.5334, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8305, predictive_accuracy: 0.831, prior_entropy: 0.9835, recall: 0.831, relative_absolute_error: 0.49, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.8385, kappa: 0.6688, kb_relative_information_score: 0.5361, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8385, predictive_accuracy: 0.839, prior_entropy: 0.9835, recall: 0.839, relative_absolute_error: 0.4906, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.6804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.7903, kappa: 0.5684, kb_relative_information_score: 0.3929, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7983, predictive_accuracy: 0.7946, prior_entropy: 0.9835, recall: 0.7946, relative_absolute_error: 0.6416, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8191, kappa: 0.6292, kb_relative_information_score: 0.5494, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.819, predictive_accuracy: 0.8194, prior_entropy: 0.9835, recall: 0.8194, relative_absolute_error: 0.4642, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.364, root_relative_squared_error: 0.7363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7864, f_measure: 0.7183, kappa: 0.4205, kb_relative_information_score: 0.2695, mean_absolute_error: 0.3685, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7193, predictive_accuracy: 0.7214, prior_entropy: 0.9835, recall: 0.7214, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.8695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5287, f_measure: 0.5273, kappa: 0.0557, kb_relative_information_score: 0.0175, mean_absolute_error: 0.4752, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.5396, predictive_accuracy: 0.5248, prior_entropy: 0.9835, recall: 0.5248, relative_absolute_error: 0.9726, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6894, root_relative_squared_error: 1.3947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.8229, kappa: 0.6365, kb_relative_information_score: 0.5127, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.823, predictive_accuracy: 0.8236, prior_entropy: 0.9835, recall: 0.8236, relative_absolute_error: 0.5116, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8539, kappa: 0.7006, kb_relative_information_score: 0.5696, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8538, predictive_accuracy: 0.8541, prior_entropy: 0.9835, recall: 0.8541, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.6468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.8642, kappa: 0.7216, kb_relative_information_score: 0.5789, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8642, predictive_accuracy: 0.8644, prior_entropy: 0.9835, recall: 0.8644, relative_absolute_error: 0.45, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.6324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.8671, kappa: 0.7276, kb_relative_information_score: 0.6053, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8671, predictive_accuracy: 0.8673, prior_entropy: 0.9835, recall: 0.8673, relative_absolute_error: 0.4201, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3054, root_relative_squared_error: 0.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.8775, kappa: 0.7488, kb_relative_information_score: 0.5993, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8775, predictive_accuracy: 0.8778, prior_entropy: 0.9835, recall: 0.8778, relative_absolute_error: 0.4317, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3, root_relative_squared_error: 0.6069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7862, f_measure: 0.7195, kappa: 0.4231, kb_relative_information_score: 0.27, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.72, predictive_accuracy: 0.7221, prior_entropy: 0.9835, recall: 0.7221, relative_absolute_error: 0.7536, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.8697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.7188, kappa: 0.4214, kb_relative_information_score: 0.2692, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7196, predictive_accuracy: 0.7218, prior_entropy: 0.9835, recall: 0.7218, relative_absolute_error: 0.7546, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.8188, kappa: 0.6278, kb_relative_information_score: 0.4694, mean_absolute_error: 0.2754, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8191, predictive_accuracy: 0.8197, prior_entropy: 0.9835, recall: 0.8197, relative_absolute_error: 0.5636, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.7852, kappa: 0.558, kb_relative_information_score: 0.3924, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7935, predictive_accuracy: 0.7898, prior_entropy: 0.9835, recall: 0.7898, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.7792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.8424, kappa: 0.6769, kb_relative_information_score: 0.675, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8424, predictive_accuracy: 0.8428, prior_entropy: 0.9835, recall: 0.8428, relative_absolute_error: 0.3217, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.8428, kappa: 0.6775, kb_relative_information_score: 0.6762, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8429, predictive_accuracy: 0.8434, prior_entropy: 0.9835, recall: 0.8434, relative_absolute_error: 0.3206, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.8007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.8421, kappa: 0.6759, kb_relative_information_score: 0.6749, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8424, predictive_accuracy: 0.8428, prior_entropy: 0.9835, recall: 0.8428, relative_absolute_error: 0.3218, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7719, f_measure: 0.7825, kappa: 0.5526, kb_relative_information_score: 0.5552, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7845, predictive_accuracy: 0.7848, prior_entropy: 0.9835, recall: 0.7848, relative_absolute_error: 0.4404, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4639, root_relative_squared_error: 0.9385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7812, kappa: 0.5502, kb_relative_information_score: 0.5515, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7823, predictive_accuracy: 0.7831, prior_entropy: 0.9835, recall: 0.7831, relative_absolute_error: 0.444, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4658, root_relative_squared_error: 0.9423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7723, f_measure: 0.7819, kappa: 0.5516, kb_relative_information_score: 0.5527, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7828, predictive_accuracy: 0.7836, prior_entropy: 0.9835, recall: 0.7836, relative_absolute_error: 0.4428, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4652, root_relative_squared_error: 0.9411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7713, f_measure: 0.7821, kappa: 0.5517, kb_relative_information_score: 0.5546, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7843, predictive_accuracy: 0.7846, prior_entropy: 0.9835, recall: 0.7846, relative_absolute_error: 0.4409, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.728, f_measure: 0.7102, kappa: 0.4349, kb_relative_information_score: 0.4015, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.746, predictive_accuracy: 0.7105, prior_entropy: 0.9835, recall: 0.7105, relative_absolute_error: 0.5925, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5381, root_relative_squared_error: 1.0886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.728, f_measure: 0.7102, kappa: 0.4349, kb_relative_information_score: 0.4015, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.746, predictive_accuracy: 0.7105, prior_entropy: 0.9835, recall: 0.7105, relative_absolute_error: 0.5925, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5381, root_relative_squared_error: 1.0886,

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