OpenML
Supervised Classification on electricity

Supervised Classification on electricity

Task 219 Supervised Classification electricity 77718 runs submitted
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  • at2 mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_70 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7721, f_measure: 0.7819, kappa: 0.5515, kb_relative_information_score: 0.5529, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.783, predictive_accuracy: 0.7837, prior_entropy: 0.9835, recall: 0.7837, relative_absolute_error: 0.4426, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.465, root_relative_squared_error: 0.9408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7695, f_measure: 0.7803, kappa: 0.548, kb_relative_information_score: 0.5509, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7825, predictive_accuracy: 0.7828, prior_entropy: 0.9835, recall: 0.7828, relative_absolute_error: 0.4446, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4661, root_relative_squared_error: 0.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7724, f_measure: 0.7819, kappa: 0.5516, kb_relative_information_score: 0.5527, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7828, predictive_accuracy: 0.7837, prior_entropy: 0.9835, recall: 0.7837, relative_absolute_error: 0.4428, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.7827, kappa: 0.5532, kb_relative_information_score: 0.5545, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7838, predictive_accuracy: 0.7845, prior_entropy: 0.9835, recall: 0.7845, relative_absolute_error: 0.441, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7048, f_measure: 0.714, kappa: 0.4128, kb_relative_information_score: 0.4113, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7136, predictive_accuracy: 0.7152, prior_entropy: 0.9835, recall: 0.7152, relative_absolute_error: 0.5828, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5336, root_relative_squared_error: 1.0796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7723, f_measure: 0.7821, kappa: 0.5519, kb_relative_information_score: 0.5533, mean_absolute_error: 0.2161, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7832, predictive_accuracy: 0.7839, prior_entropy: 0.9835, recall: 0.7839, relative_absolute_error: 0.4422, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7698, f_measure: 0.7801, kappa: 0.5477, kb_relative_information_score: 0.5499, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7817, predictive_accuracy: 0.7823, prior_entropy: 0.9835, recall: 0.7823, relative_absolute_error: 0.4456, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4666, root_relative_squared_error: 0.9441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7719, f_measure: 0.7829, kappa: 0.5534, kb_relative_information_score: 0.5566, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7854, predictive_accuracy: 0.7855, prior_entropy: 0.9835, recall: 0.7855, relative_absolute_error: 0.439, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.8431, kappa: 0.6778, kb_relative_information_score: 0.677, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8434, predictive_accuracy: 0.8438, prior_entropy: 0.9835, recall: 0.8438, relative_absolute_error: 0.3198, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.7997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.706, f_measure: 0.6792, kappa: 0.3879, kb_relative_information_score: 0.3434, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7343, predictive_accuracy: 0.6824, prior_entropy: 0.9835, recall: 0.6824, relative_absolute_error: 0.65, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5636, root_relative_squared_error: 1.1402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.842, kappa: 0.6755, kb_relative_information_score: 0.6752, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8426, predictive_accuracy: 0.8429, prior_entropy: 0.9835, recall: 0.8429, relative_absolute_error: 0.3216, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.671, f_measure: 0.6343, kappa: 0.3183, kb_relative_information_score: 0.2602, mean_absolute_error: 0.3579, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7083, predictive_accuracy: 0.6421, prior_entropy: 0.9835, recall: 0.6421, relative_absolute_error: 0.7324, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5982, root_relative_squared_error: 1.2103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7726, f_measure: 0.7826, kappa: 0.5528, kb_relative_information_score: 0.5545, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7838, predictive_accuracy: 0.7845, prior_entropy: 0.9835, recall: 0.7845, relative_absolute_error: 0.441, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7716, f_measure: 0.7814, kappa: 0.5504, kb_relative_information_score: 0.5519, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7825, predictive_accuracy: 0.7832, prior_entropy: 0.9835, recall: 0.7832, relative_absolute_error: 0.4436, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4656, root_relative_squared_error: 0.9419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.801, kappa: 0.595, kb_relative_information_score: 0.5871, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8032, predictive_accuracy: 0.8003, prior_entropy: 0.9835, recall: 0.8003, relative_absolute_error: 0.4088, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.9042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7743, f_measure: 0.784, kappa: 0.5558, kb_relative_information_score: 0.5573, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7851, predictive_accuracy: 0.7858, prior_entropy: 0.9835, recall: 0.7858, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4628, root_relative_squared_error: 0.9363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7723, f_measure: 0.7822, kappa: 0.5522, kb_relative_information_score: 0.5539, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7835, predictive_accuracy: 0.7842, prior_entropy: 0.9835, recall: 0.7842, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4645, root_relative_squared_error: 0.9398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.8427, kappa: 0.677, kb_relative_information_score: 0.6763, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8431, predictive_accuracy: 0.8434, prior_entropy: 0.9835, recall: 0.8434, relative_absolute_error: 0.3204, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7735, f_measure: 0.7828, kappa: 0.5534, kb_relative_information_score: 0.5542, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7835, predictive_accuracy: 0.7844, prior_entropy: 0.9835, recall: 0.7844, relative_absolute_error: 0.4413, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7725, f_measure: 0.7821, kappa: 0.5519, kb_relative_information_score: 0.5531, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.783, predictive_accuracy: 0.7838, prior_entropy: 0.9835, recall: 0.7838, relative_absolute_error: 0.4425, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.465, root_relative_squared_error: 0.9407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7712, f_measure: 0.782, kappa: 0.5515, kb_relative_information_score: 0.5546, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7843, predictive_accuracy: 0.7845, prior_entropy: 0.9835, recall: 0.7845, relative_absolute_error: 0.441, 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: 0.8364, f_measure: 0.8431, kappa: 0.678, kb_relative_information_score: 0.6772, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8435, predictive_accuracy: 0.8438, prior_entropy: 0.9835, recall: 0.8438, relative_absolute_error: 0.3196, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.7995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.8432, kappa: 0.6782, kb_relative_information_score: 0.6772, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8435, predictive_accuracy: 0.8439, prior_entropy: 0.9835, recall: 0.8439, relative_absolute_error: 0.3196, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7034, f_measure: 0.6773, kappa: 0.3834, kb_relative_information_score: 0.3391, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7306, predictive_accuracy: 0.6803, prior_entropy: 0.9835, recall: 0.6803, relative_absolute_error: 0.6543, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5654, root_relative_squared_error: 1.1439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7663, f_measure: 0.7591, kappa: 0.5179, kb_relative_information_score: 0.4992, mean_absolute_error: 0.2422, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7732, predictive_accuracy: 0.7578, prior_entropy: 0.9835, recall: 0.7578, relative_absolute_error: 0.4958, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.8422, kappa: 0.6761, kb_relative_information_score: 0.6747, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8422, predictive_accuracy: 0.8427, prior_entropy: 0.9835, recall: 0.8427, relative_absolute_error: 0.322, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7323, f_measure: 0.7215, kappa: 0.4482, kb_relative_information_score: 0.4221, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7432, predictive_accuracy: 0.7205, prior_entropy: 0.9835, recall: 0.7205, relative_absolute_error: 0.5721, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5287, root_relative_squared_error: 1.0697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6983, f_measure: 0.6689, kappa: 0.3722, kb_relative_information_score: 0.3243, mean_absolute_error: 0.3268, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7295, predictive_accuracy: 0.6732, prior_entropy: 0.9835, recall: 0.6732, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5717, root_relative_squared_error: 1.1567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.843, kappa: 0.6775, kb_relative_information_score: 0.6769, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8434, predictive_accuracy: 0.8437, prior_entropy: 0.9835, recall: 0.8437, relative_absolute_error: 0.3198, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.7998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.771, f_measure: 0.7814, kappa: 0.5504, kb_relative_information_score: 0.5528, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7832, predictive_accuracy: 0.7837, prior_entropy: 0.9835, recall: 0.7837, relative_absolute_error: 0.4427, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.8421, kappa: 0.6758, 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: 0.8355, f_measure: 0.8422, kappa: 0.676, kb_relative_information_score: 0.6751, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8425, predictive_accuracy: 0.8428, prior_entropy: 0.9835, recall: 0.8428, relative_absolute_error: 0.3216, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.8011, kappa: 0.5954, kb_relative_information_score: 0.5872, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8036, predictive_accuracy: 0.8003, prior_entropy: 0.9835, recall: 0.8003, relative_absolute_error: 0.4087, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.9041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.8428, kappa: 0.6772, kb_relative_information_score: 0.6766, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8432, predictive_accuracy: 0.8436, prior_entropy: 0.9835, recall: 0.8436, relative_absolute_error: 0.3202, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, f_measure: 0.7756, kappa: 0.5493, kb_relative_information_score: 0.5334, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7868, predictive_accuracy: 0.7743, prior_entropy: 0.9835, recall: 0.7743, relative_absolute_error: 0.4619, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4751, root_relative_squared_error: 0.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.8014, kappa: 0.5956, kb_relative_information_score: 0.5879, mean_absolute_error: 0.1994, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8034, predictive_accuracy: 0.8006, prior_entropy: 0.9835, recall: 0.8006, relative_absolute_error: 0.408, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.9033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7728, f_measure: 0.7828, kappa: 0.5533, kb_relative_information_score: 0.555, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7841, predictive_accuracy: 0.7848, prior_entropy: 0.9835, recall: 0.7848, relative_absolute_error: 0.4405, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4639, root_relative_squared_error: 0.9386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.8021, kappa: 0.5969, kb_relative_information_score: 0.5894, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8039, predictive_accuracy: 0.8014, prior_entropy: 0.9835, recall: 0.8014, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.9017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8032, f_measure: 0.8041, kappa: 0.6012, kb_relative_information_score: 0.5936, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8061, predictive_accuracy: 0.8034, prior_entropy: 0.9835, recall: 0.8034, relative_absolute_error: 0.4023, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.8428, kappa: 0.6774, kb_relative_information_score: 0.6763, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.843, predictive_accuracy: 0.8434, prior_entropy: 0.9835, recall: 0.8434, relative_absolute_error: 0.3205, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.8065, kappa: 0.6062, kb_relative_information_score: 0.5984, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8087, predictive_accuracy: 0.8057, prior_entropy: 0.9835, recall: 0.8057, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.8917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.8419, kappa: 0.6751, kb_relative_information_score: 0.675, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8426, 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: 0.8022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.8025, kappa: 0.5982, kb_relative_information_score: 0.5902, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8048, predictive_accuracy: 0.8018, prior_entropy: 0.9835, recall: 0.8018, relative_absolute_error: 0.4057, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4452, root_relative_squared_error: 0.9008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.7207, kappa: 0.4496, kb_relative_information_score: 0.4212, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7472, predictive_accuracy: 0.72, prior_entropy: 0.9835, recall: 0.72, relative_absolute_error: 0.573, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5291, root_relative_squared_error: 1.0705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.8433, kappa: 0.6784, kb_relative_information_score: 0.6771, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8434, predictive_accuracy: 0.8438, prior_entropy: 0.9835, recall: 0.8438, relative_absolute_error: 0.3196, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.7996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, f_measure: 0.7826, kappa: 0.5529, kb_relative_information_score: 0.5543, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7836, predictive_accuracy: 0.7844, prior_entropy: 0.9835, recall: 0.7844, relative_absolute_error: 0.4412, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4643, root_relative_squared_error: 0.9394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7678, f_measure: 0.7616, kappa: 0.5219, kb_relative_information_score: 0.5044, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.774, predictive_accuracy: 0.7603, prior_entropy: 0.9835, recall: 0.7603, relative_absolute_error: 0.4906, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7733, f_measure: 0.7828, kappa: 0.5535, kb_relative_information_score: 0.5546, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7838, 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: 0.6787, f_measure: 0.645, kappa: 0.3337, kb_relative_information_score: 0.2792, mean_absolute_error: 0.3486, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7133, predictive_accuracy: 0.6514, prior_entropy: 0.9835, recall: 0.6514, relative_absolute_error: 0.7135, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5905, root_relative_squared_error: 1.1946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.718, kappa: 0.4464, kb_relative_information_score: 0.4163, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7478, predictive_accuracy: 0.7176, prior_entropy: 0.9835, recall: 0.7176, relative_absolute_error: 0.5779, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5314, root_relative_squared_error: 1.0751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7727, f_measure: 0.7822, kappa: 0.5523, kb_relative_information_score: 0.5533, mean_absolute_error: 0.2161, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7831, predictive_accuracy: 0.7839, prior_entropy: 0.9835, recall: 0.7839, relative_absolute_error: 0.4422, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.8426, kappa: 0.6768, kb_relative_information_score: 0.6757, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8428, predictive_accuracy: 0.8432, prior_entropy: 0.9835, recall: 0.8432, relative_absolute_error: 0.321, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.396, root_relative_squared_error: 0.8013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.7825, kappa: 0.5525, kb_relative_information_score: 0.5555, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7848, predictive_accuracy: 0.785, prior_entropy: 0.9835, recall: 0.785, relative_absolute_error: 0.4401, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7706, f_measure: 0.7818, kappa: 0.551, kb_relative_information_score: 0.5546, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7846, 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: 0.8367, f_measure: 0.8424, kappa: 0.6768, kb_relative_information_score: 0.6751, 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: 0.3216, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.8412, kappa: 0.6742, kb_relative_information_score: 0.6727, mean_absolute_error: 0.1583, 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: 0.324, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.7199, kappa: 0.4496, kb_relative_information_score: 0.42, mean_absolute_error: 0.2806, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.749, predictive_accuracy: 0.7194, prior_entropy: 0.9835, recall: 0.7194, relative_absolute_error: 0.5742, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5297, root_relative_squared_error: 1.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.843, kappa: 0.6777, kb_relative_information_score: 0.6766, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8432, predictive_accuracy: 0.8436, prior_entropy: 0.9835, recall: 0.8436, relative_absolute_error: 0.3202, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.8422, kappa: 0.6762, kb_relative_information_score: 0.6751, 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: 0.8021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7737, f_measure: 0.7841, kappa: 0.5559, kb_relative_information_score: 0.5584, mean_absolute_error: 0.2136, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.786, predictive_accuracy: 0.7864, prior_entropy: 0.9835, recall: 0.7864, relative_absolute_error: 0.4372, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.771, f_measure: 0.7811, kappa: 0.5498, kb_relative_information_score: 0.5516, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7824, predictive_accuracy: 0.7831, prior_entropy: 0.9835, recall: 0.7831, relative_absolute_error: 0.4439, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7691, f_measure: 0.7804, kappa: 0.5481, kb_relative_information_score: 0.5516, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7831, predictive_accuracy: 0.7831, prior_entropy: 0.9835, recall: 0.7831, relative_absolute_error: 0.4439, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.8433, kappa: 0.6783, kb_relative_information_score: 0.6776, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8437, predictive_accuracy: 0.8441, prior_entropy: 0.9835, recall: 0.8441, relative_absolute_error: 0.3191, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.7989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.8432, kappa: 0.6781, kb_relative_information_score: 0.6773, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8436, predictive_accuracy: 0.8439, prior_entropy: 0.9835, recall: 0.8439, relative_absolute_error: 0.3194, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.7993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.8422, kappa: 0.676, kb_relative_information_score: 0.6751, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8425, predictive_accuracy: 0.8428, prior_entropy: 0.9835, recall: 0.8428, relative_absolute_error: 0.3216, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7639, f_measure: 0.7545, kappa: 0.5111, kb_relative_information_score: 0.4901, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7725, predictive_accuracy: 0.7533, prior_entropy: 0.9835, recall: 0.7533, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4967, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.8417, kappa: 0.6751, kb_relative_information_score: 0.6737, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8418, predictive_accuracy: 0.8422, prior_entropy: 0.9835, recall: 0.8422, relative_absolute_error: 0.323, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7695, f_measure: 0.7808, kappa: 0.5489, kb_relative_information_score: 0.5524, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7835, predictive_accuracy: 0.7835, prior_entropy: 0.9835, recall: 0.7835, relative_absolute_error: 0.4431, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4653, root_relative_squared_error: 0.9414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.8428, kappa: 0.6774, 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: 0.8364, f_measure: 0.8424, kappa: 0.6766, kb_relative_information_score: 0.6752, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8425, predictive_accuracy: 0.8429, prior_entropy: 0.9835, recall: 0.8429, relative_absolute_error: 0.3215, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.8422, kappa: 0.6761, kb_relative_information_score: 0.6752, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8425, predictive_accuracy: 0.8429, prior_entropy: 0.9835, recall: 0.8429, relative_absolute_error: 0.3215, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, f_measure: 0.8442, kappa: 0.6803, kb_relative_information_score: 0.6789, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8442, predictive_accuracy: 0.8447, prior_entropy: 0.9835, recall: 0.8447, relative_absolute_error: 0.3179, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.7974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.8425, kappa: 0.6773, kb_relative_information_score: 0.6751, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8425, 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: 0.8021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.8418, kappa: 0.6749, kb_relative_information_score: 0.6747, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8424, predictive_accuracy: 0.8426, prior_entropy: 0.9835, recall: 0.8426, relative_absolute_error: 0.3221, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, f_measure: 0.7824, kappa: 0.5531, kb_relative_information_score: 0.5526, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7826, predictive_accuracy: 0.7836, prior_entropy: 0.9835, recall: 0.7836, relative_absolute_error: 0.443, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4652, root_relative_squared_error: 0.9412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.8419, kappa: 0.6756, kb_relative_information_score: 0.6744, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8421, predictive_accuracy: 0.8425, prior_entropy: 0.9835, recall: 0.8425, relative_absolute_error: 0.3224, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7718, f_measure: 0.7817, kappa: 0.5511, kb_relative_information_score: 0.5527, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7829, predictive_accuracy: 0.7836, prior_entropy: 0.9835, recall: 0.7836, relative_absolute_error: 0.4429, 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: 0.8347, f_measure: 0.8412, kappa: 0.6741, kb_relative_information_score: 0.6731, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8415, predictive_accuracy: 0.8419, prior_entropy: 0.9835, recall: 0.8419, relative_absolute_error: 0.3236, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.7126, kappa: 0.437, kb_relative_information_score: 0.4056, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7442, predictive_accuracy: 0.7125, prior_entropy: 0.9835, recall: 0.7125, relative_absolute_error: 0.5885, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5362, root_relative_squared_error: 1.0849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.7613, kappa: 0.5226, kb_relative_information_score: 0.5039, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7759, predictive_accuracy: 0.76, prior_entropy: 0.9835, recall: 0.76, relative_absolute_error: 0.4911, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9911,
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: 0.8371, 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: 0.9743, f_measure: 0.9173, kappa: 0.8307, kb_relative_information_score: 0.7238, mean_absolute_error: 0.1463, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9173, predictive_accuracy: 0.9173, prior_entropy: 0.9835, recall: 0.9173, relative_absolute_error: 0.2995, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.5069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.8092, kappa: 0.6081, kb_relative_information_score: 0.4827, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8095, predictive_accuracy: 0.8101, prior_entropy: 0.9835, recall: 0.8101, relative_absolute_error: 0.5427, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9161, kappa: 0.8283, kb_relative_information_score: 0.7186, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9161, predictive_accuracy: 0.9161, prior_entropy: 0.9835, recall: 0.9161, relative_absolute_error: 0.3056, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.8696, kappa: 0.7329, kb_relative_information_score: 0.5998, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8696, predictive_accuracy: 0.8698, prior_entropy: 0.9835, recall: 0.8698, relative_absolute_error: 0.4274, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3054, root_relative_squared_error: 0.6179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.7987, kappa: 0.586, kb_relative_information_score: 0.4588, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.801, predictive_accuracy: 0.8009, prior_entropy: 0.9835, recall: 0.8009, relative_absolute_error: 0.5676, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.7551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.8306, kappa: 0.6525, kb_relative_information_score: 0.5361, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8307, predictive_accuracy: 0.8312, prior_entropy: 0.9835, recall: 0.8312, relative_absolute_error: 0.4863, 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: 0.9028, f_measure: 0.8212, kappa: 0.6329, kb_relative_information_score: 0.5008, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8216, predictive_accuracy: 0.8221, prior_entropy: 0.9835, recall: 0.8221, relative_absolute_error: 0.5246, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.8787, kappa: 0.7515, kb_relative_information_score: 0.622, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8787, predictive_accuracy: 0.8789, prior_entropy: 0.9835, recall: 0.8789, relative_absolute_error: 0.4047, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.296, root_relative_squared_error: 0.5988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9321, kappa: 0.8611, kb_relative_information_score: 0.8193, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9321, predictive_accuracy: 0.9321, prior_entropy: 0.9835, recall: 0.9321, relative_absolute_error: 0.19, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.4563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9184, kappa: 0.8329, kb_relative_information_score: 0.7924, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9184, predictive_accuracy: 0.9184, prior_entropy: 0.9835, recall: 0.9184, relative_absolute_error: 0.2161, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2465, root_relative_squared_error: 0.4988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9193, kappa: 0.8349, kb_relative_information_score: 0.7245, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9193, predictive_accuracy: 0.9194, prior_entropy: 0.9835, recall: 0.9194, relative_absolute_error: 0.2995, 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: 0.9236, f_measure: 0.8412, kappa: 0.6746, kb_relative_information_score: 0.5879, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8411, predictive_accuracy: 0.8415, prior_entropy: 0.9835, recall: 0.8415, relative_absolute_error: 0.4291, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.8705, kappa: 0.7347, kb_relative_information_score: 0.6192, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8704, predictive_accuracy: 0.8706, prior_entropy: 0.9835, recall: 0.8706, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3045, root_relative_squared_error: 0.6161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9178, kappa: 0.8318, kb_relative_information_score: 0.7523, mean_absolute_error: 0.1296, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9178, predictive_accuracy: 0.9178, prior_entropy: 0.9835, recall: 0.9178, relative_absolute_error: 0.2653, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2461, root_relative_squared_error: 0.4978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6249, f_measure: 0.6464, kappa: 0.2802, kb_relative_information_score: 0.2545, mean_absolute_error: 0.3619, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6488, predictive_accuracy: 0.6451, prior_entropy: 0.9835, recall: 0.6451, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.591, root_relative_squared_error: 1.1956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.9023, kappa: 0.8, kb_relative_information_score: 0.6713, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9023, predictive_accuracy: 0.9024, prior_entropy: 0.9835, recall: 0.9024, relative_absolute_error: 0.3566, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.5466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.7919, kappa: 0.5718, kb_relative_information_score: 0.4349, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7959, predictive_accuracy: 0.7949, prior_entropy: 0.9835, recall: 0.7949, relative_absolute_error: 0.5927, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9086, kappa: 0.8128, kb_relative_information_score: 0.7626, mean_absolute_error: 0.1212, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9086, predictive_accuracy: 0.9086, prior_entropy: 0.9835, recall: 0.9086, relative_absolute_error: 0.2481, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2596, root_relative_squared_error: 0.5252,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs