OpenML
Supervised Classification on electricity

Supervised Classification on electricity

Task 219 Supervised Classification electricity 77408 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: 0.7934, f_measure: 0.8041, kappa: 0.5969, kb_relative_information_score: 0.5998, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8069, predictive_accuracy: 0.8064, prior_entropy: 0.9835, recall: 0.8064, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.8551, kappa: 0.7031, kb_relative_information_score: 0.7009, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.855, predictive_accuracy: 0.8553, prior_entropy: 0.9835, recall: 0.8553, relative_absolute_error: 0.2961, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3804, root_relative_squared_error: 0.7696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.8204, kappa: 0.6308, kb_relative_information_score: 0.6318, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8218, predictive_accuracy: 0.8219, prior_entropy: 0.9835, recall: 0.8219, relative_absolute_error: 0.3645, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.422, root_relative_squared_error: 0.8539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, f_measure: 0.7543, kappa: 0.4946, kb_relative_information_score: 0.5052, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7642, predictive_accuracy: 0.7607, prior_entropy: 0.9835, recall: 0.7607, relative_absolute_error: 0.4898, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.9898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5778, f_measure: 0.5875, kappa: 0.1557, kb_relative_information_score: 0.1473, mean_absolute_error: 0.4125, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.5875, predictive_accuracy: 0.5875, prior_entropy: 0.9835, recall: 0.5875, relative_absolute_error: 0.8441, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6422, root_relative_squared_error: 1.2993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.8051, kappa: 0.5991, kb_relative_information_score: 0.6008, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8068, predictive_accuracy: 0.8069, prior_entropy: 0.9835, recall: 0.8069, relative_absolute_error: 0.3952, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.8891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, f_measure: 0.8238, kappa: 0.6378, kb_relative_information_score: 0.6383, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8249, predictive_accuracy: 0.825, prior_entropy: 0.9835, recall: 0.825, relative_absolute_error: 0.3581, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.7794, kappa: 0.5459, kb_relative_information_score: 0.5514, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7842, predictive_accuracy: 0.783, prior_entropy: 0.9835, recall: 0.783, relative_absolute_error: 0.4441, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4658, root_relative_squared_error: 0.9424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.7542, kappa: 0.4945, kb_relative_information_score: 0.5051, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7643, predictive_accuracy: 0.7606, prior_entropy: 0.9835, recall: 0.7606, relative_absolute_error: 0.4899, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4893, root_relative_squared_error: 0.9899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.8017, kappa: 0.5922, kb_relative_information_score: 0.5941, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8036, predictive_accuracy: 0.8037, prior_entropy: 0.9835, recall: 0.8037, relative_absolute_error: 0.4018, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.8964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.781, kappa: 0.5492, kb_relative_information_score: 0.5542, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7852, 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: 0.7849, f_measure: 0.7953, kappa: 0.5789, kb_relative_information_score: 0.5814, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7975, predictive_accuracy: 0.7975, prior_entropy: 0.9835, recall: 0.7975, relative_absolute_error: 0.4145, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.45, root_relative_squared_error: 0.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7788, f_measure: 0.7903, kappa: 0.5685, kb_relative_information_score: 0.5725, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7939, predictive_accuracy: 0.7932, prior_entropy: 0.9835, recall: 0.7932, relative_absolute_error: 0.4233, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7737, f_measure: 0.7856, kappa: 0.5587, kb_relative_information_score: 0.5632, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7895, predictive_accuracy: 0.7887, prior_entropy: 0.9835, recall: 0.7887, relative_absolute_error: 0.4324, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4596, root_relative_squared_error: 0.9299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.7581, kappa: 0.5025, kb_relative_information_score: 0.5135, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7691, predictive_accuracy: 0.7647, prior_entropy: 0.9835, recall: 0.7647, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4851, root_relative_squared_error: 0.9815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7878, f_measure: 0.7979, kappa: 0.5842, kb_relative_information_score: 0.5861, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7996, predictive_accuracy: 0.7998, prior_entropy: 0.9835, recall: 0.7998, relative_absolute_error: 0.4097, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4474, root_relative_squared_error: 0.9052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.8036, kappa: 0.5961, kb_relative_information_score: 0.5979, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8054, predictive_accuracy: 0.8055, prior_entropy: 0.9835, recall: 0.8055, relative_absolute_error: 0.3981, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.441, root_relative_squared_error: 0.8923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.7986, kappa: 0.5857, kb_relative_information_score: 0.5882, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8009, predictive_accuracy: 0.8008, prior_entropy: 0.9835, recall: 0.8008, relative_absolute_error: 0.4077, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.8445, kappa: 0.6808, kb_relative_information_score: 0.6797, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8447, predictive_accuracy: 0.8451, prior_entropy: 0.9835, recall: 0.8451, relative_absolute_error: 0.3171, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.7963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7662, f_measure: 0.7792, kappa: 0.5455, kb_relative_information_score: 0.5519, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7852, predictive_accuracy: 0.7833, prior_entropy: 0.9835, recall: 0.7833, 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: 0.7671, f_measure: 0.7792, kappa: 0.5456, kb_relative_information_score: 0.5505, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7833, predictive_accuracy: 0.7826, prior_entropy: 0.9835, recall: 0.7826, relative_absolute_error: 0.445, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4663, root_relative_squared_error: 0.9434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5497, f_measure: 0.5127, kappa: 0.1125, kb_relative_information_score: 0.2069, mean_absolute_error: 0.3836, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7284, predictive_accuracy: 0.6164, prior_entropy: 0.9835, recall: 0.6164, relative_absolute_error: 0.7851, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6194, root_relative_squared_error: 1.2531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, f_measure: 0.7742, kappa: 0.5352, kb_relative_information_score: 0.5422, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7806, predictive_accuracy: 0.7785, prior_entropy: 0.9835, recall: 0.7785, relative_absolute_error: 0.4533, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4706, root_relative_squared_error: 0.9521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7412, f_measure: 0.7566, kappa: 0.5, kb_relative_information_score: 0.5126, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7707, predictive_accuracy: 0.7642, prior_entropy: 0.9835, recall: 0.7642, relative_absolute_error: 0.4825, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4856, root_relative_squared_error: 0.9824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.8569, kappa: 0.7066, kb_relative_information_score: 0.7049, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8569, predictive_accuracy: 0.8572, prior_entropy: 0.9835, recall: 0.8572, relative_absolute_error: 0.2922, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7663, f_measure: 0.7788, kappa: 0.5446, kb_relative_information_score: 0.5502, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7837, predictive_accuracy: 0.7824, prior_entropy: 0.9835, recall: 0.7824, relative_absolute_error: 0.4453, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.7707, kappa: 0.5281, kb_relative_information_score: 0.5365, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7789, predictive_accuracy: 0.7758, prior_entropy: 0.9835, recall: 0.7758, relative_absolute_error: 0.4589, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6539, f_measure: 0.6618, kappa: 0.3077, kb_relative_information_score: 0.3008, mean_absolute_error: 0.3382, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6617, predictive_accuracy: 0.6618, prior_entropy: 0.9835, recall: 0.6618, relative_absolute_error: 0.6922, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5816, root_relative_squared_error: 1.1766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.635, f_measure: 0.6384, kappa: 0.296, kb_relative_information_score: 0.3513, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.755, predictive_accuracy: 0.6862, prior_entropy: 0.9835, recall: 0.6862, relative_absolute_error: 0.6422, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5602, root_relative_squared_error: 1.1333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.8235, kappa: 0.6371, kb_relative_information_score: 0.6379, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8248, predictive_accuracy: 0.8248, prior_entropy: 0.9835, recall: 0.8248, relative_absolute_error: 0.3585, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.8467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.851, f_measure: 0.8559, kappa: 0.7047, kb_relative_information_score: 0.7028, mean_absolute_error: 0.1438, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8559, predictive_accuracy: 0.8562, prior_entropy: 0.9835, recall: 0.8562, relative_absolute_error: 0.2942, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8571, kappa: 0.707, kb_relative_information_score: 0.7054, mean_absolute_error: 0.1425, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8572, predictive_accuracy: 0.8575, prior_entropy: 0.9835, recall: 0.8575, relative_absolute_error: 0.2916, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.8433, kappa: 0.6784, kb_relative_information_score: 0.6773, 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: 0.3195, 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: 0.8048, f_measure: 0.8146, kappa: 0.6187, kb_relative_information_score: 0.6205, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8167, predictive_accuracy: 0.8164, prior_entropy: 0.9835, recall: 0.8164, relative_absolute_error: 0.3757, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.8668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.762, kappa: 0.5103, kb_relative_information_score: 0.5201, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7715, predictive_accuracy: 0.7679, prior_entropy: 0.9835, recall: 0.7679, relative_absolute_error: 0.4751, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4818, root_relative_squared_error: 0.9747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.8575, kappa: 0.7082, kb_relative_information_score: 0.7055, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8574, predictive_accuracy: 0.8576, prior_entropy: 0.9835, recall: 0.8576, relative_absolute_error: 0.2915, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.7636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.8372, kappa: 0.6657, kb_relative_information_score: 0.6651, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8376, predictive_accuracy: 0.838, prior_entropy: 0.9835, recall: 0.838, relative_absolute_error: 0.3316, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, f_measure: 0.7894, kappa: 0.5666, kb_relative_information_score: 0.5707, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7931, predictive_accuracy: 0.7924, prior_entropy: 0.9835, recall: 0.7924, relative_absolute_error: 0.425, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.9219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7275, f_measure: 0.7438, kappa: 0.4751, kb_relative_information_score: 0.4922, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7652, predictive_accuracy: 0.7544, prior_entropy: 0.9835, recall: 0.7544, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4956, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.7848, kappa: 0.557, kb_relative_information_score: 0.5614, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7885, predictive_accuracy: 0.7878, prior_entropy: 0.9835, recall: 0.7878, relative_absolute_error: 0.4342, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4606, root_relative_squared_error: 0.9319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.776, f_measure: 0.7878, kappa: 0.5633, kb_relative_information_score: 0.5677, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7918, predictive_accuracy: 0.7909, prior_entropy: 0.9835, recall: 0.7909, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4573, root_relative_squared_error: 0.9252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7398, f_measure: 0.7544, kappa: 0.4948, kb_relative_information_score: 0.5054, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7643, predictive_accuracy: 0.7607, prior_entropy: 0.9835, recall: 0.7607, relative_absolute_error: 0.4897, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4891, root_relative_squared_error: 0.9896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, f_measure: 0.7563, kappa: 0.4988, kb_relative_information_score: 0.5094, mean_absolute_error: 0.2373, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7665, predictive_accuracy: 0.7627, prior_entropy: 0.9835, recall: 0.7627, relative_absolute_error: 0.4857, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4872, root_relative_squared_error: 0.9856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7632, f_measure: 0.7759, kappa: 0.5387, kb_relative_information_score: 0.5447, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7811, predictive_accuracy: 0.7797, prior_entropy: 0.9835, recall: 0.7797, relative_absolute_error: 0.4508, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.8134, kappa: 0.6162, kb_relative_information_score: 0.6177, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8151, predictive_accuracy: 0.8151, prior_entropy: 0.9835, recall: 0.8151, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.43, root_relative_squared_error: 0.8701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.8468, kappa: 0.6856, kb_relative_information_score: 0.6843, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8469, predictive_accuracy: 0.8473, prior_entropy: 0.9835, recall: 0.8473, relative_absolute_error: 0.3125, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.7906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5875, f_measure: 0.5723, kappa: 0.1953, kb_relative_information_score: 0.2713, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7418, predictive_accuracy: 0.6475, prior_entropy: 0.9835, recall: 0.6475, relative_absolute_error: 0.7214, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5937, root_relative_squared_error: 1.2012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.768, f_measure: 0.7802, kappa: 0.5476, kb_relative_information_score: 0.5526, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7844, 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: 0.776, f_measure: 0.7876, kappa: 0.5629, kb_relative_information_score: 0.567, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7912, predictive_accuracy: 0.7905, prior_entropy: 0.9835, recall: 0.7905, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4577, root_relative_squared_error: 0.9259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.7527, kappa: 0.4916, kb_relative_information_score: 0.5036, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7648, predictive_accuracy: 0.7599, prior_entropy: 0.9835, recall: 0.7599, relative_absolute_error: 0.4915, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.49, root_relative_squared_error: 0.9914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, f_measure: 0.7543, kappa: 0.4947, kb_relative_information_score: 0.5053, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7643, predictive_accuracy: 0.7607, prior_entropy: 0.9835, recall: 0.7607, relative_absolute_error: 0.4898, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.9897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.7971, kappa: 0.5824, kb_relative_information_score: 0.5856, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8001, predictive_accuracy: 0.7996, prior_entropy: 0.9835, recall: 0.7996, relative_absolute_error: 0.4102, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.9058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, f_measure: 0.7543, kappa: 0.4947, kb_relative_information_score: 0.5055, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7646, predictive_accuracy: 0.7608, prior_entropy: 0.9835, recall: 0.7608, relative_absolute_error: 0.4895, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4891, root_relative_squared_error: 0.9895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7555, f_measure: 0.7695, kappa: 0.5257, kb_relative_information_score: 0.5343, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.778, predictive_accuracy: 0.7747, prior_entropy: 0.9835, recall: 0.7747, relative_absolute_error: 0.461, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6915, f_measure: 0.7066, kappa: 0.4097, kb_relative_information_score: 0.4428, mean_absolute_error: 0.2695, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7666, predictive_accuracy: 0.7305, prior_entropy: 0.9835, recall: 0.7305, relative_absolute_error: 0.5516, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5192, root_relative_squared_error: 1.0504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.764, kappa: 0.5145, kb_relative_information_score: 0.5244, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7739, predictive_accuracy: 0.77, prior_entropy: 0.9835, recall: 0.77, relative_absolute_error: 0.4708, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7718, f_measure: 0.7837, kappa: 0.5547, kb_relative_information_score: 0.5593, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7875, predictive_accuracy: 0.7868, prior_entropy: 0.9835, recall: 0.7868, relative_absolute_error: 0.4363, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.9341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.77, f_measure: 0.7821, kappa: 0.5515, kb_relative_information_score: 0.5565, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7865, 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: 0.4632, root_relative_squared_error: 0.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7479, f_measure: 0.7628, kappa: 0.5123, kb_relative_information_score: 0.5233, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7745, predictive_accuracy: 0.7694, prior_entropy: 0.9835, recall: 0.7694, relative_absolute_error: 0.4719, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4802, root_relative_squared_error: 0.9715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.8512, kappa: 0.6948, kb_relative_information_score: 0.6931, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8512, predictive_accuracy: 0.8515, prior_entropy: 0.9835, recall: 0.8515, relative_absolute_error: 0.3038, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.8335, kappa: 0.6582, kb_relative_information_score: 0.6575, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8339, predictive_accuracy: 0.8343, prior_entropy: 0.9835, recall: 0.8343, relative_absolute_error: 0.3391, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.782, f_measure: 0.793, kappa: 0.574, kb_relative_information_score: 0.5771, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7957, predictive_accuracy: 0.7954, prior_entropy: 0.9835, recall: 0.7954, relative_absolute_error: 0.4187, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.8033, kappa: 0.5953, kb_relative_information_score: 0.5983, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8063, predictive_accuracy: 0.8057, prior_entropy: 0.9835, recall: 0.8057, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.8918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, f_measure: 0.7949, kappa: 0.5778, kb_relative_information_score: 0.5814, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7982, predictive_accuracy: 0.7975, prior_entropy: 0.9835, recall: 0.7975, relative_absolute_error: 0.4144, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.45, root_relative_squared_error: 0.9103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7748, f_measure: 0.7865, kappa: 0.5606, kb_relative_information_score: 0.5649, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7902, predictive_accuracy: 0.7895, prior_entropy: 0.9835, recall: 0.7895, relative_absolute_error: 0.4308, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.8372, kappa: 0.6656, kb_relative_information_score: 0.6649, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8375, predictive_accuracy: 0.8379, prior_entropy: 0.9835, recall: 0.8379, relative_absolute_error: 0.3318, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.8146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.8531, kappa: 0.6991, kb_relative_information_score: 0.6964, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.853, predictive_accuracy: 0.8531, prior_entropy: 0.9835, recall: 0.8531, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.7754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.7698, kappa: 0.5263, kb_relative_information_score: 0.5349, mean_absolute_error: 0.225, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7782, predictive_accuracy: 0.775, prior_entropy: 0.9835, recall: 0.775, relative_absolute_error: 0.4605, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, f_measure: 0.757, kappa: 0.5001, kb_relative_information_score: 0.5106, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7671, predictive_accuracy: 0.7633, prior_entropy: 0.9835, recall: 0.7633, relative_absolute_error: 0.4845, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4865, root_relative_squared_error: 0.9843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5931, f_measure: 0.6026, kappa: 0.1864, kb_relative_information_score: 0.1787, mean_absolute_error: 0.3973, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6025, predictive_accuracy: 0.6027, prior_entropy: 0.9835, recall: 0.6027, relative_absolute_error: 0.8131, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6303, root_relative_squared_error: 1.2752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7217, f_measure: 0.7385, kappa: 0.466, kb_relative_information_score: 0.4866, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7681, predictive_accuracy: 0.7517, prior_entropy: 0.9835, recall: 0.7517, relative_absolute_error: 0.5082, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7398, f_measure: 0.7544, kappa: 0.4948, kb_relative_information_score: 0.5053, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7643, predictive_accuracy: 0.7607, prior_entropy: 0.9835, recall: 0.7607, relative_absolute_error: 0.4897, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.9896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, f_measure: 0.8529, kappa: 0.6982, kb_relative_information_score: 0.6969, mean_absolute_error: 0.1466, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.853, predictive_accuracy: 0.8534, prior_entropy: 0.9835, recall: 0.8534, relative_absolute_error: 0.3001, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.8294, kappa: 0.6495, kb_relative_information_score: 0.6498, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8304, predictive_accuracy: 0.8306, prior_entropy: 0.9835, recall: 0.8306, relative_absolute_error: 0.3467, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.365, f_measure: 0.3795, kappa: -0.27, kb_relative_information_score: -0.2829, mean_absolute_error: 0.6205, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3795, predictive_accuracy: 0.3795, prior_entropy: 0.9835, recall: 0.3795, relative_absolute_error: 1.27, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.7877, root_relative_squared_error: 1.5937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7774, f_measure: 0.789, kappa: 0.5657, kb_relative_information_score: 0.5698, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7926, predictive_accuracy: 0.7919, prior_entropy: 0.9835, recall: 0.7919, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.738, f_measure: 0.7533, kappa: 0.493, kb_relative_information_score: 0.5055, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7666, predictive_accuracy: 0.7608, prior_entropy: 0.9835, recall: 0.7608, relative_absolute_error: 0.4895, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4891, root_relative_squared_error: 0.9895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.8599, kappa: 0.7127, kb_relative_information_score: 0.7109, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8599, predictive_accuracy: 0.8602, prior_entropy: 0.9835, recall: 0.8602, relative_absolute_error: 0.2862, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.7565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.7575, kappa: 0.5012, kb_relative_information_score: 0.5116, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7676, predictive_accuracy: 0.7637, prior_entropy: 0.9835, recall: 0.7637, relative_absolute_error: 0.4835, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4861, root_relative_squared_error: 0.9834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, f_measure: 0.7543, kappa: 0.4946, kb_relative_information_score: 0.5053, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7643, predictive_accuracy: 0.7607, prior_entropy: 0.9835, recall: 0.7607, relative_absolute_error: 0.4898, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.9897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7075, f_measure: 0.7178, kappa: 0.42, kb_relative_information_score: 0.4209, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7179, predictive_accuracy: 0.7199, prior_entropy: 0.9835, recall: 0.7199, relative_absolute_error: 0.5733, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.8591, kappa: 0.7111, kb_relative_information_score: 0.7094, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8591, predictive_accuracy: 0.8594, prior_entropy: 0.9835, recall: 0.8594, relative_absolute_error: 0.2877, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.8056, kappa: 0.6, kb_relative_information_score: 0.6022, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8078, predictive_accuracy: 0.8076, prior_entropy: 0.9835, recall: 0.8076, relative_absolute_error: 0.3938, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.8875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7398, f_measure: 0.7543, kappa: 0.4947, kb_relative_information_score: 0.5053, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7643, predictive_accuracy: 0.7607, prior_entropy: 0.9835, recall: 0.7607, relative_absolute_error: 0.4897, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.9897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7641, f_measure: 0.7768, kappa: 0.5405, kb_relative_information_score: 0.5465, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7821, predictive_accuracy: 0.7807, prior_entropy: 0.9835, recall: 0.7807, relative_absolute_error: 0.4489, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4683, root_relative_squared_error: 0.9475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7285, f_measure: 0.7408, kappa: 0.4664, kb_relative_information_score: 0.4719, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7436, predictive_accuracy: 0.7445, prior_entropy: 0.9835, recall: 0.7445, relative_absolute_error: 0.5228, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5054, root_relative_squared_error: 1.0226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, f_measure: 0.8545, kappa: 0.7016, kb_relative_information_score: 0.7001, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8546, predictive_accuracy: 0.8549, prior_entropy: 0.9835, recall: 0.8549, relative_absolute_error: 0.2969, 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: 0.8177, f_measure: 0.8292, kappa: 0.6484, kb_relative_information_score: 0.652, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8342, predictive_accuracy: 0.8317, prior_entropy: 0.9835, recall: 0.8317, relative_absolute_error: 0.3445, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6048, f_measure: 0.6147, kappa: 0.2102, kb_relative_information_score: 0.2048, mean_absolute_error: 0.3846, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6142, predictive_accuracy: 0.6154, prior_entropy: 0.9835, recall: 0.6154, relative_absolute_error: 0.7872, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6202, root_relative_squared_error: 1.2548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7612, f_measure: 0.7744, kappa: 0.5357, kb_relative_information_score: 0.5428, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7809, predictive_accuracy: 0.7788, prior_entropy: 0.9835, recall: 0.7788, relative_absolute_error: 0.4527, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4703, root_relative_squared_error: 0.9515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3587, f_measure: 0.3734, kappa: -0.2825, kb_relative_information_score: -0.2954, mean_absolute_error: 0.6266, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3733, predictive_accuracy: 0.3734, prior_entropy: 0.9835, recall: 0.3734, relative_absolute_error: 1.2824, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.7916, root_relative_squared_error: 1.6015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7727, f_measure: 0.7845, kappa: 0.5564, kb_relative_information_score: 0.5608, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7882, predictive_accuracy: 0.7876, prior_entropy: 0.9835, recall: 0.7876, relative_absolute_error: 0.4348, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.7542, kappa: 0.4945, kb_relative_information_score: 0.5051, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7642, predictive_accuracy: 0.7606, prior_entropy: 0.9835, recall: 0.7606, relative_absolute_error: 0.4899, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4893, root_relative_squared_error: 0.9899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, f_measure: 0.8567, kappa: 0.7064, kb_relative_information_score: 0.7041, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8566, predictive_accuracy: 0.8569, prior_entropy: 0.9835, recall: 0.8569, relative_absolute_error: 0.293, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.7654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.8425, kappa: 0.6774, kb_relative_information_score: 0.6746, 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: 0.8027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.8347, kappa: 0.6614, kb_relative_information_score: 0.6588, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8346, predictive_accuracy: 0.8349, prior_entropy: 0.9835, recall: 0.8349, relative_absolute_error: 0.3378, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.8347, kappa: 0.6614, kb_relative_information_score: 0.6588, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8346, predictive_accuracy: 0.8349, prior_entropy: 0.9835, recall: 0.8349, relative_absolute_error: 0.3378, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.8543, kappa: 0.7014, kb_relative_information_score: 0.699, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8542, predictive_accuracy: 0.8544, prior_entropy: 0.9835, recall: 0.8544, relative_absolute_error: 0.298, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.8394, kappa: 0.6709, kb_relative_information_score: 0.6683, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8393, predictive_accuracy: 0.8395, prior_entropy: 0.9835, recall: 0.8395, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.8104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.8123, kappa: 0.6141, kb_relative_information_score: 0.6154, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8139, predictive_accuracy: 0.814, prior_entropy: 0.9835, recall: 0.814, relative_absolute_error: 0.3807, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.8726,

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