OpenML
Supervised Classification on electricity

Supervised Classification on electricity

Task 219 Supervised Classification electricity 77734 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: 0.8778, 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: 0.5851, f_measure: 0.5895, kappa: 0.1965, kb_relative_information_score: 0.1394, mean_absolute_error: 0.4177, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6163, predictive_accuracy: 0.5894, prior_entropy: 0.9835, recall: 0.5894, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.635, root_relative_squared_error: 1.2846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.865, kappa: 0.7233, kb_relative_information_score: 0.6005, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8649, predictive_accuracy: 0.8652, prior_entropy: 0.9835, recall: 0.8652, relative_absolute_error: 0.4245, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.8779, kappa: 0.7498, kb_relative_information_score: 0.6374, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8779, predictive_accuracy: 0.8781, prior_entropy: 0.9835, recall: 0.8781, relative_absolute_error: 0.3857, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.5975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.8483, kappa: 0.689, kb_relative_information_score: 0.5585, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8483, predictive_accuracy: 0.8486, prior_entropy: 0.9835, recall: 0.8486, relative_absolute_error: 0.4679, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8729, kappa: 0.7397, kb_relative_information_score: 0.5854, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8729, predictive_accuracy: 0.8731, prior_entropy: 0.9835, recall: 0.8731, relative_absolute_error: 0.4493, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.6132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.8837, kappa: 0.7618, kb_relative_information_score: 0.6364, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8837, predictive_accuracy: 0.8838, prior_entropy: 0.9835, recall: 0.8838, relative_absolute_error: 0.3913, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.5839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.8461, kappa: 0.6843, kb_relative_information_score: 0.5826, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8461, predictive_accuracy: 0.8465, prior_entropy: 0.9835, recall: 0.8465, relative_absolute_error: 0.4369, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.6783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.787, kappa: 0.5616, kb_relative_information_score: 0.3895, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7941, predictive_accuracy: 0.7912, prior_entropy: 0.9835, recall: 0.7912, relative_absolute_error: 0.6444, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8802, kappa: 0.7547, kb_relative_information_score: 0.6174, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8802, predictive_accuracy: 0.8804, prior_entropy: 0.9835, recall: 0.8804, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.5956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8802, kappa: 0.7547, kb_relative_information_score: 0.6174, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8802, predictive_accuracy: 0.8804, prior_entropy: 0.9835, recall: 0.8804, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.5956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8802, kappa: 0.7547, kb_relative_information_score: 0.6174, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8802, predictive_accuracy: 0.8804, prior_entropy: 0.9835, recall: 0.8804, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.5956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8802, kappa: 0.7547, kb_relative_information_score: 0.6174, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8802, predictive_accuracy: 0.8804, prior_entropy: 0.9835, recall: 0.8804, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.5956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8802, kappa: 0.7547, kb_relative_information_score: 0.6174, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8802, predictive_accuracy: 0.8804, prior_entropy: 0.9835, recall: 0.8804, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.5956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8802, kappa: 0.7547, kb_relative_information_score: 0.6174, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8802, predictive_accuracy: 0.8804, prior_entropy: 0.9835, recall: 0.8804, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.5956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8802, kappa: 0.7547, kb_relative_information_score: 0.6174, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8802, predictive_accuracy: 0.8804, prior_entropy: 0.9835, recall: 0.8804, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.5956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8802, kappa: 0.7547, kb_relative_information_score: 0.6174, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8802, predictive_accuracy: 0.8804, prior_entropy: 0.9835, recall: 0.8804, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.5956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8802, kappa: 0.7547, kb_relative_information_score: 0.6174, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8802, predictive_accuracy: 0.8804, prior_entropy: 0.9835, recall: 0.8804, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.5956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8802, kappa: 0.7547, kb_relative_information_score: 0.6174, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8802, predictive_accuracy: 0.8804, prior_entropy: 0.9835, recall: 0.8804, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.5956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8802, kappa: 0.7547, kb_relative_information_score: 0.6174, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8802, predictive_accuracy: 0.8804, prior_entropy: 0.9835, recall: 0.8804, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.5956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.8441, kappa: 0.6801, kb_relative_information_score: 0.6791, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8444, predictive_accuracy: 0.8448, prior_entropy: 0.9835, recall: 0.8448, relative_absolute_error: 0.3177, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.394, root_relative_squared_error: 0.7971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.8443, kappa: 0.6805, kb_relative_information_score: 0.6791, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8444, predictive_accuracy: 0.8448, prior_entropy: 0.9835, recall: 0.8448, relative_absolute_error: 0.3177, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.394, root_relative_squared_error: 0.7971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.8443, kappa: 0.6804, kb_relative_information_score: 0.6796, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8447, predictive_accuracy: 0.845, prior_entropy: 0.9835, recall: 0.845, relative_absolute_error: 0.3172, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7733, f_measure: 0.7826, kappa: 0.553, kb_relative_information_score: 0.5537, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7833, predictive_accuracy: 0.7841, prior_entropy: 0.9835, recall: 0.7841, relative_absolute_error: 0.4418, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4646, root_relative_squared_error: 0.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.8429, kappa: 0.6776, kb_relative_information_score: 0.6764, mean_absolute_error: 0.1565, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8431, predictive_accuracy: 0.8435, prior_entropy: 0.9835, recall: 0.8435, relative_absolute_error: 0.3204, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.8413, kappa: 0.6742, kb_relative_information_score: 0.6733, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8416, predictive_accuracy: 0.842, prior_entropy: 0.9835, recall: 0.842, relative_absolute_error: 0.3234, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.8425, kappa: 0.6768, kb_relative_information_score: 0.6756, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8427, predictive_accuracy: 0.8431, prior_entropy: 0.9835, recall: 0.8431, relative_absolute_error: 0.3211, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.8014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.8429, kappa: 0.6774, kb_relative_information_score: 0.6768, 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: 0.32, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.8424, kappa: 0.6764, kb_relative_information_score: 0.6758, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8429, 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: 0.8012,
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: 0.4413, 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: 0.836, f_measure: 0.8422, kappa: 0.6762, kb_relative_information_score: 0.6749, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8423, predictive_accuracy: 0.8427, prior_entropy: 0.9835, recall: 0.8427, relative_absolute_error: 0.3219, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.8023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.842, kappa: 0.6756, kb_relative_information_score: 0.6748, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8424, predictive_accuracy: 0.8427, prior_entropy: 0.9835, recall: 0.8427, relative_absolute_error: 0.3219, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.8024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.8431, kappa: 0.6777, kb_relative_information_score: 0.6771, 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: 0.3197, 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: 0.8367, 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: 0.7703, f_measure: 0.7816, kappa: 0.5505, kb_relative_information_score: 0.5542, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7844, predictive_accuracy: 0.7843, prior_entropy: 0.9835, recall: 0.7843, relative_absolute_error: 0.4414, 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: 0.8365, f_measure: 0.843, kappa: 0.6777, kb_relative_information_score: 0.6768, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8433, predictive_accuracy: 0.8436, prior_entropy: 0.9835, recall: 0.8436, relative_absolute_error: 0.32, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.7821, kappa: 0.5522, kb_relative_information_score: 0.5527, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7827, 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: 0.8359, f_measure: 0.8419, kappa: 0.6757, kb_relative_information_score: 0.6743, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.842, predictive_accuracy: 0.8424, prior_entropy: 0.9835, recall: 0.8424, relative_absolute_error: 0.3224, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.8409, kappa: 0.6733, kb_relative_information_score: 0.6725, mean_absolute_error: 0.1584, 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: 0.3243, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.398, root_relative_squared_error: 0.8053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.8425, kappa: 0.6765, kb_relative_information_score: 0.6759, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8429, predictive_accuracy: 0.8432, prior_entropy: 0.9835, recall: 0.8432, relative_absolute_error: 0.3208, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.8427, kappa: 0.6772, kb_relative_information_score: 0.676, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8429, predictive_accuracy: 0.8433, prior_entropy: 0.9835, recall: 0.8433, relative_absolute_error: 0.3207, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.8009,
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: 0.9737, f_measure: 0.9165, kappa: 0.8291, kb_relative_information_score: 0.7677, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9165, predictive_accuracy: 0.9166, prior_entropy: 0.9835, recall: 0.9166, relative_absolute_error: 0.2458, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2481, root_relative_squared_error: 0.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.8969, kappa: 0.7889, kb_relative_information_score: 0.6633, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8969, predictive_accuracy: 0.897, prior_entropy: 0.9835, recall: 0.897, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.5581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9307, kappa: 0.858, kb_relative_information_score: 0.7626, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9306, predictive_accuracy: 0.9307, prior_entropy: 0.9835, recall: 0.9307, relative_absolute_error: 0.2586, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.232, root_relative_squared_error: 0.4695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9058, kappa: 0.8073, kb_relative_information_score: 0.7345, mean_absolute_error: 0.1374, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9058, predictive_accuracy: 0.9058, prior_entropy: 0.9835, recall: 0.9058, relative_absolute_error: 0.2812, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.261, root_relative_squared_error: 0.5281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.929, kappa: 0.8547, kb_relative_information_score: 0.7753, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.929, predictive_accuracy: 0.929, prior_entropy: 0.9835, recall: 0.929, relative_absolute_error: 0.2429, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.4675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.8919, kappa: 0.7787, kb_relative_information_score: 0.6346, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8919, predictive_accuracy: 0.892, prior_entropy: 0.9835, recall: 0.892, relative_absolute_error: 0.397, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2837, root_relative_squared_error: 0.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.8868, kappa: 0.7683, kb_relative_information_score: 0.6406, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8868, predictive_accuracy: 0.8869, prior_entropy: 0.9835, recall: 0.8869, relative_absolute_error: 0.3867, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.944, kappa: 0.8853, kb_relative_information_score: 0.8397, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.944, predictive_accuracy: 0.944, prior_entropy: 0.9835, recall: 0.944, relative_absolute_error: 0.1712, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.4136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9296, kappa: 0.8559, kb_relative_information_score: 0.7572, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9296, predictive_accuracy: 0.9296, prior_entropy: 0.9835, recall: 0.9296, relative_absolute_error: 0.2655, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.861, kappa: 0.7151, kb_relative_information_score: 0.5474, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.861, predictive_accuracy: 0.8613, prior_entropy: 0.9835, recall: 0.8613, relative_absolute_error: 0.489, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.6467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.8991, kappa: 0.7933, kb_relative_information_score: 0.6905, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.899, predictive_accuracy: 0.8991, prior_entropy: 0.9835, recall: 0.8991, relative_absolute_error: 0.3317, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2705, root_relative_squared_error: 0.5472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9332, kappa: 0.8633, kb_relative_information_score: 0.792, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9332, predictive_accuracy: 0.9332, prior_entropy: 0.9835, recall: 0.9332, relative_absolute_error: 0.2241, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.4544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9285, kappa: 0.8536, kb_relative_information_score: 0.7676, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9285, predictive_accuracy: 0.9285, prior_entropy: 0.9835, recall: 0.9285, relative_absolute_error: 0.2521, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.4697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.884, kappa: 0.7624, kb_relative_information_score: 0.6141, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.884, predictive_accuracy: 0.8841, prior_entropy: 0.9835, recall: 0.8841, relative_absolute_error: 0.4179, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.5934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.8941, kappa: 0.7831, kb_relative_information_score: 0.6646, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.894, predictive_accuracy: 0.8941, prior_entropy: 0.9835, recall: 0.8941, relative_absolute_error: 0.3607, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2784, root_relative_squared_error: 0.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9187, kappa: 0.8335, kb_relative_information_score: 0.717, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9187, predictive_accuracy: 0.9187, prior_entropy: 0.9835, recall: 0.9187, relative_absolute_error: 0.3089, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.5046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9252, kappa: 0.8468, kb_relative_information_score: 0.7909, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9251, predictive_accuracy: 0.9252, prior_entropy: 0.9835, recall: 0.9252, relative_absolute_error: 0.2215, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2354, root_relative_squared_error: 0.4763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9297, kappa: 0.856, kb_relative_information_score: 0.7785, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9297, predictive_accuracy: 0.9297, prior_entropy: 0.9835, recall: 0.9297, relative_absolute_error: 0.2388, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.4682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9176, kappa: 0.8313, kb_relative_information_score: 0.7261, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9176, predictive_accuracy: 0.9176, prior_entropy: 0.9835, recall: 0.9176, relative_absolute_error: 0.2969, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.5051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.931, kappa: 0.8587, kb_relative_information_score: 0.7777, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.931, predictive_accuracy: 0.931, prior_entropy: 0.9835, recall: 0.931, relative_absolute_error: 0.2406, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.4625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.8963, kappa: 0.7876, kb_relative_information_score: 0.6636, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8962, predictive_accuracy: 0.8963, prior_entropy: 0.9835, recall: 0.8963, relative_absolute_error: 0.3624, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2769, root_relative_squared_error: 0.5602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.8305, kappa: 0.6518, kb_relative_information_score: 0.4884, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8309, predictive_accuracy: 0.8313, prior_entropy: 0.9835, recall: 0.8313, relative_absolute_error: 0.5427, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.349, root_relative_squared_error: 0.7061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.8302, kappa: 0.6516, kb_relative_information_score: 0.4701, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8304, predictive_accuracy: 0.8309, prior_entropy: 0.9835, recall: 0.8309, relative_absolute_error: 0.5681, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.7068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.8683, kappa: 0.7298, kb_relative_information_score: 0.5637, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8684, predictive_accuracy: 0.8686, prior_entropy: 0.9835, recall: 0.8686, relative_absolute_error: 0.4707, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.8025, kappa: 0.5936, kb_relative_information_score: 0.4223, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8047, predictive_accuracy: 0.8045, prior_entropy: 0.9835, recall: 0.8045, relative_absolute_error: 0.6126, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.7498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8283, kappa: 0.6474, kb_relative_information_score: 0.4063, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8286, predictive_accuracy: 0.8291, prior_entropy: 0.9835, recall: 0.8291, relative_absolute_error: 0.6405, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.8424, kappa: 0.6765, kb_relative_information_score: 0.489, mean_absolute_error: 0.2688, 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: 0.5501, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.6869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.8155, kappa: 0.6206, kb_relative_information_score: 0.4516, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8165, predictive_accuracy: 0.8168, prior_entropy: 0.9835, recall: 0.8168, relative_absolute_error: 0.5822, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.8161, kappa: 0.6219, kb_relative_information_score: 0.4621, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8171, predictive_accuracy: 0.8174, prior_entropy: 0.9835, recall: 0.8174, relative_absolute_error: 0.5686, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.7293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.8996, kappa: 0.7945, kb_relative_information_score: 0.679, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8996, predictive_accuracy: 0.8996, prior_entropy: 0.9835, recall: 0.8996, relative_absolute_error: 0.346, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9181, kappa: 0.8323, kb_relative_information_score: 0.7246, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9181, predictive_accuracy: 0.9181, prior_entropy: 0.9835, recall: 0.9181, relative_absolute_error: 0.2992, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.5041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9453, kappa: 0.8881, kb_relative_information_score: 0.8371, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9453, predictive_accuracy: 0.9453, prior_entropy: 0.9835, recall: 0.9453, relative_absolute_error: 0.1752, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.4098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.8595, kappa: 0.712, kb_relative_information_score: 0.5779, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8594, predictive_accuracy: 0.8597, prior_entropy: 0.9835, recall: 0.8597, relative_absolute_error: 0.4515, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.8804, kappa: 0.7554, kb_relative_information_score: 0.7146, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8805, predictive_accuracy: 0.8804, prior_entropy: 0.9835, recall: 0.8804, relative_absolute_error: 0.2927, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.6409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.8784, kappa: 0.7509, kb_relative_information_score: 0.5936, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8784, predictive_accuracy: 0.8786, prior_entropy: 0.9835, recall: 0.8786, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.6059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.8218, kappa: 0.634, kb_relative_information_score: 0.4323, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8224, predictive_accuracy: 0.8228, prior_entropy: 0.9835, recall: 0.8228, relative_absolute_error: 0.6087, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.7289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.8594, kappa: 0.7116, kb_relative_information_score: 0.5829, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8594, predictive_accuracy: 0.8597, prior_entropy: 0.9835, recall: 0.8597, relative_absolute_error: 0.4434, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8385, kappa: 0.6688, kb_relative_information_score: 0.536, 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: 0.4907, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.6802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8771, kappa: 0.7481, kb_relative_information_score: 0.6496, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.877, predictive_accuracy: 0.8772, prior_entropy: 0.9835, recall: 0.8772, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.6019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9346, kappa: 0.8661, kb_relative_information_score: 0.7953, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9346, predictive_accuracy: 0.9346, prior_entropy: 0.9835, recall: 0.9346, relative_absolute_error: 0.2206, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.4517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8259, kappa: 0.6422, kb_relative_information_score: 0.4776, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8271, predictive_accuracy: 0.8272, prior_entropy: 0.9835, recall: 0.8272, relative_absolute_error: 0.5548, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.7093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.8616, kappa: 0.7164, kb_relative_information_score: 0.5909, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8615, predictive_accuracy: 0.8617, prior_entropy: 0.9835, recall: 0.8617, relative_absolute_error: 0.4358, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.7767, kappa: 0.5404, kb_relative_information_score: 0.2734, mean_absolute_error: 0.3765, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.785, predictive_accuracy: 0.7816, prior_entropy: 0.9835, recall: 0.7816, relative_absolute_error: 0.7705, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.8004, kappa: 0.5892, kb_relative_information_score: 0.4023, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8036, predictive_accuracy: 0.8029, prior_entropy: 0.9835, recall: 0.8029, relative_absolute_error: 0.6361, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.8293, kappa: 0.6488, kb_relative_information_score: 0.4197, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8323, predictive_accuracy: 0.8312, prior_entropy: 0.9835, recall: 0.8312, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.7186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.7981, kappa: 0.5844, kb_relative_information_score: 0.3798, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8016, predictive_accuracy: 0.8008, prior_entropy: 0.9835, recall: 0.8008, relative_absolute_error: 0.6613, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.7635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8002, kappa: 0.5889, kb_relative_information_score: 0.3152, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8086, predictive_accuracy: 0.8044, prior_entropy: 0.9835, recall: 0.8044, relative_absolute_error: 0.7317, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.8476, kappa: 0.6873, kb_relative_information_score: 0.5235, mean_absolute_error: 0.2492, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8477, predictive_accuracy: 0.8481, prior_entropy: 0.9835, recall: 0.8481, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.6695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8363, kappa: 0.6637, kb_relative_information_score: 0.5101, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8369, predictive_accuracy: 0.8372, prior_entropy: 0.9835, recall: 0.8372, relative_absolute_error: 0.5209, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.6882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9352, kappa: 0.8673, kb_relative_information_score: 0.795, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9352, predictive_accuracy: 0.9352, prior_entropy: 0.9835, recall: 0.9352, relative_absolute_error: 0.2215, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.4507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.8341, kappa: 0.6596, kb_relative_information_score: 0.5013, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8344, predictive_accuracy: 0.8348, prior_entropy: 0.9835, recall: 0.8348, relative_absolute_error: 0.5327, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.6877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.8222, kappa: 0.6347, kb_relative_information_score: 0.3958, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8227, predictive_accuracy: 0.8232, prior_entropy: 0.9835, recall: 0.8232, relative_absolute_error: 0.6501, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.7439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.8896, kappa: 0.7738, kb_relative_information_score: 0.6539, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8895, predictive_accuracy: 0.8897, prior_entropy: 0.9835, recall: 0.8897, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2838, root_relative_squared_error: 0.5742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.875, kappa: 0.744, kb_relative_information_score: 0.5985, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.875, predictive_accuracy: 0.8752, prior_entropy: 0.9835, recall: 0.8752, relative_absolute_error: 0.4331, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.6096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8979, kappa: 0.791, kb_relative_information_score: 0.7117, mean_absolute_error: 0.1491, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8979, predictive_accuracy: 0.898, prior_entropy: 0.9835, recall: 0.898, relative_absolute_error: 0.3052, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.5507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.891, kappa: 0.777, kb_relative_information_score: 0.7747, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.891, predictive_accuracy: 0.891, prior_entropy: 0.9835, recall: 0.891, relative_absolute_error: 0.223, 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: 0.8309, f_measure: 0.8364, kappa: 0.6645, kb_relative_information_score: 0.6625, mean_absolute_error: 0.1633, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8363, predictive_accuracy: 0.8367, prior_entropy: 0.9835, recall: 0.8367, relative_absolute_error: 0.3341, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9232, kappa: 0.8429, kb_relative_information_score: 0.7386, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9232, predictive_accuracy: 0.9233, prior_entropy: 0.9835, recall: 0.9233, relative_absolute_error: 0.2848, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.4886,

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

OpenML APIs