Task
Supervised Classification on MagicTelescope

Supervised Classification on MagicTelescope

Task 3954 Supervised Classification MagicTelescope 58612 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -23.3688, mean_absolute_error: 0.4563, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.8178, kappa: 0.5936, kb_relative_information_score: 8040.5626, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8211, predictive_accuracy: 0.8227, prior_entropy: 0.9355, recall: 0.8227, relative_absolute_error: 0.5997, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.7543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -106.4266, mean_absolute_error: 0.4573, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 206.6193, mean_absolute_error: 0.4514, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4777, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 26.6233, mean_absolute_error: 0.4554, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -9096.5215, mean_absolute_error: 0.6484, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.3516, prior_entropy: 0.9355, recall: 0.3516, relative_absolute_error: 1.4219, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.8052, root_relative_squared_error: 1.6864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -13.8887, mean_absolute_error: 0.4561, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.8593, kappa: 0.6871, kb_relative_information_score: 10614.532, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.862, predictive_accuracy: 0.8623, prior_entropy: 0.9355, recall: 0.8623, relative_absolute_error: 0.463, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.32, root_relative_squared_error: 0.6701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -170.6499, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 1.0045, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.781, kappa: 0.5098, kb_relative_information_score: 4417.0791, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8273, predictive_accuracy: 0.8014, prior_entropy: 0.9355, recall: 0.8014, relative_absolute_error: 0.8033, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -106.0104, mean_absolute_error: 0.4573, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.4826, mean_absolute_error: 0.4559, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 30.0257, mean_absolute_error: 0.4553, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -12.9454, mean_absolute_error: 0.4561, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 35.406, mean_absolute_error: 0.4552, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8496, f_measure: 0.8023, kappa: 0.5595, kb_relative_information_score: 7350.5796, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8041, predictive_accuracy: 0.807, prior_entropy: 0.9355, recall: 0.807, relative_absolute_error: 0.6335, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -161.1434, mean_absolute_error: 0.4579, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 8.6817, mean_absolute_error: 0.4558, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -75.3454, mean_absolute_error: 0.4569, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.8541, kappa: 0.6744, kb_relative_information_score: 9629.8752, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.86, predictive_accuracy: 0.8584, prior_entropy: 0.9355, recall: 0.8584, relative_absolute_error: 0.5261, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.6832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -111.4181, mean_absolute_error: 0.4573, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.8124, kappa: 0.586, kb_relative_information_score: 10077.0604, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8117, predictive_accuracy: 0.8137, prior_entropy: 0.9355, recall: 0.8137, relative_absolute_error: 0.4663, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -56.5117, mean_absolute_error: 0.4567, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 18.5621, mean_absolute_error: 0.4556, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 160.8579, mean_absolute_error: 0.4524, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4776, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8319, kappa: 0.6255, kb_relative_information_score: 9142.1818, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.835, predictive_accuracy: 0.8361, prior_entropy: 0.9355, recall: 0.8361, relative_absolute_error: 0.5396, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.7275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 27.51, mean_absolute_error: 0.4554, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.807, kappa: 0.5703, kb_relative_information_score: 8082.0038, mean_absolute_error: 0.2694, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8086, predictive_accuracy: 0.8114, prior_entropy: 0.9355, recall: 0.8114, relative_absolute_error: 0.5908, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7453, kb_relative_information_score: 833.1297, mean_absolute_error: 0.4398, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4629, root_relative_squared_error: 0.9696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7335, f_measure: 0.6449, kappa: 0.2071, kb_relative_information_score: 2461.1096, mean_absolute_error: 0.4038, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.6649, predictive_accuracy: 0.6825, prior_entropy: 0.9355, recall: 0.6825, relative_absolute_error: 0.8855, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.9161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.1047, mean_absolute_error: 0.4559, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -182.9638, mean_absolute_error: 0.4582, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 1.0049, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 26.7739, mean_absolute_error: 0.4554, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 14.29, mean_absolute_error: 0.4557, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -51.0811, mean_absolute_error: 0.4566, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.8578, kappa: 0.6837, kb_relative_information_score: 10232.2663, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8602, predictive_accuracy: 0.8607, prior_entropy: 0.9355, recall: 0.8607, relative_absolute_error: 0.4881, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.6726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, f_measure: 0.7984, kappa: 0.5483, kb_relative_information_score: 5877.2635, mean_absolute_error: 0.3291, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8085, predictive_accuracy: 0.8074, prior_entropy: 0.9355, recall: 0.8074, relative_absolute_error: 0.7217, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.8049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 75.4683, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, f_measure: 0.7399, kappa: 0.4198, kb_relative_information_score: 3722.5342, mean_absolute_error: 0.3788, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.7935, predictive_accuracy: 0.7686, prior_entropy: 0.9355, recall: 0.7686, relative_absolute_error: 0.8307, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.8707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.8674, kappa: 0.7056, kb_relative_information_score: 11258.9101, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8693, predictive_accuracy: 0.8698, prior_entropy: 0.9355, recall: 0.8698, relative_absolute_error: 0.4262, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.6527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 211.5534, mean_absolute_error: 0.4512, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.9896, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4777, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8505, f_measure: 0.8026, kappa: 0.5583, kb_relative_information_score: 7608.575, mean_absolute_error: 0.2835, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8093, predictive_accuracy: 0.8099, prior_entropy: 0.9355, recall: 0.8099, relative_absolute_error: 0.6218, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.7805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.6922, kappa: 0.3243, kb_relative_information_score: 2948.6244, mean_absolute_error: 0.3984, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.7971, predictive_accuracy: 0.7414, prior_entropy: 0.9355, recall: 0.7414, relative_absolute_error: 0.8738, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -98.8679, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 89.7028, mean_absolute_error: 0.454, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 26.5762, mean_absolute_error: 0.4554, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.7648, kappa: 0.4724, kb_relative_information_score: 4313.4774, mean_absolute_error: 0.3635, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.7916, predictive_accuracy: 0.7827, prior_entropy: 0.9355, recall: 0.7827, relative_absolute_error: 0.7971, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 190.4961, mean_absolute_error: 0.4517, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.9907, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4777, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 7.3411, mean_absolute_error: 0.4558, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8715, kappa: 0.7143, kb_relative_information_score: 11423.8352, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.874, predictive_accuracy: 0.874, prior_entropy: 0.9355, recall: 0.874, relative_absolute_error: 0.4197, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3069, root_relative_squared_error: 0.6427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 42.3288, mean_absolute_error: 0.455, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 50.8602, mean_absolute_error: 0.4548, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7441, kb_relative_information_score: 1108.3625, mean_absolute_error: 0.4343, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.9526, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.458, root_relative_squared_error: 0.9591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8668, kappa: 0.704, kb_relative_information_score: 11383.879, mean_absolute_error: 0.1918, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8689, predictive_accuracy: 0.8692, prior_entropy: 0.9355, recall: 0.8692, relative_absolute_error: 0.4207, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3091, root_relative_squared_error: 0.6474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.7622, kappa: 0.4738, kb_relative_information_score: 5985.368, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.761, predictive_accuracy: 0.7648, prior_entropy: 0.9355, recall: 0.7648, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5674, f_measure: 0.5781, kappa: 0.1216, kb_relative_information_score: 315.078, mean_absolute_error: 0.4313, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.6029, predictive_accuracy: 0.5687, prior_entropy: 0.9355, recall: 0.5687, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.6568, root_relative_squared_error: 1.3755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 11.121, mean_absolute_error: 0.4557, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -40.6299, mean_absolute_error: 0.4565, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 22.4357, mean_absolute_error: 0.4555, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.7842, kappa: 0.5189, kb_relative_information_score: 6466.3272, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.7857, predictive_accuracy: 0.7897, prior_entropy: 0.9355, recall: 0.7897, relative_absolute_error: 0.6783, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.8122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -18.0019, mean_absolute_error: 0.4562, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -59.8538, mean_absolute_error: 0.4567, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 63.3477, mean_absolute_error: 0.4546, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.8233, kappa: 0.605, kb_relative_information_score: 7767.2239, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8299, predictive_accuracy: 0.8293, prior_entropy: 0.9355, recall: 0.8293, relative_absolute_error: 0.6211, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.7516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -411.2607, mean_absolute_error: 0.461, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 1.0111, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4778, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 14.391, mean_absolute_error: 0.4557, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.8046, kappa: 0.5645, kb_relative_information_score: 7638.7265, mean_absolute_error: 0.2826, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.807, predictive_accuracy: 0.8097, prior_entropy: 0.9355, recall: 0.8097, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.371, root_relative_squared_error: 0.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -154.9233, mean_absolute_error: 0.4579, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 1.0041, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.7927, kappa: 0.5359, kb_relative_information_score: 6357.5888, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8006, predictive_accuracy: 0.8013, prior_entropy: 0.9355, recall: 0.8013, relative_absolute_error: 0.6879, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.8079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.8569, kappa: 0.6816, kb_relative_information_score: 10426.6929, mean_absolute_error: 0.2161, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8596, predictive_accuracy: 0.8599, prior_entropy: 0.9355, recall: 0.8599, relative_absolute_error: 0.474, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -119.589, mean_absolute_error: 0.4574, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 16.222, mean_absolute_error: 0.4556, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -40.1943, mean_absolute_error: 0.4565, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -64.7369, mean_absolute_error: 0.4568, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -80.6451, mean_absolute_error: 0.4569, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 309.8193, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5764, f_measure: 0.5978, kappa: 0.1455, kb_relative_information_score: 1256.6993, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.6122, predictive_accuracy: 0.5904, prior_entropy: 0.9355, recall: 0.5904, relative_absolute_error: 0.8983, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.64, root_relative_squared_error: 1.3404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -85.3034, mean_absolute_error: 0.457, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.8099, kappa: 0.5763, kb_relative_information_score: 7598.6767, mean_absolute_error: 0.2836, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8126, predictive_accuracy: 0.8149, prior_entropy: 0.9355, recall: 0.8149, relative_absolute_error: 0.622, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 20.8663, mean_absolute_error: 0.4555, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -44.5582, mean_absolute_error: 0.4565, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -293.0562, mean_absolute_error: 0.4596, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 1.0078, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4776, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 22.4011, mean_absolute_error: 0.4555, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -9096.5215, mean_absolute_error: 0.6484, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.3516, prior_entropy: 0.9355, recall: 0.3516, relative_absolute_error: 1.4219, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.8052, root_relative_squared_error: 1.6864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 14.769, mean_absolute_error: 0.4557, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -41.677, mean_absolute_error: 0.4565, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.8592, kappa: 0.6869, kb_relative_information_score: 10487.9386, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8614, predictive_accuracy: 0.8619, prior_entropy: 0.9355, recall: 0.8619, relative_absolute_error: 0.4716, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.32, root_relative_squared_error: 0.6702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7707, kappa: 0.4874, kb_relative_information_score: 3751.0568, mean_absolute_error: 0.3805, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8226, predictive_accuracy: 0.7938, prior_entropy: 0.9355, recall: 0.7938, relative_absolute_error: 0.8346, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.8653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8476, kappa: 0.6606, kb_relative_information_score: 9814.6576, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8506, predictive_accuracy: 0.8511, prior_entropy: 0.9355, recall: 0.8511, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.6935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.7814, kappa: 0.5108, kb_relative_information_score: 6765.2981, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.788, predictive_accuracy: 0.7902, prior_entropy: 0.9355, recall: 0.7902, relative_absolute_error: 0.6625, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.8158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -187.6168, mean_absolute_error: 0.4583, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -0.1122, mean_absolute_error: 0.456, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7796, kappa: 0.5089, kb_relative_information_score: 6614.4566, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.7809, predictive_accuracy: 0.7852, prior_entropy: 0.9355, recall: 0.7852, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.8156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -116.9839, mean_absolute_error: 0.4574, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 85.5384, mean_absolute_error: 0.4541, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 33.1823, mean_absolute_error: 0.4552, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -120.1733, mean_absolute_error: 0.4574, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -6.6566, mean_absolute_error: 0.4561, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 42.6586, mean_absolute_error: 0.455, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 51.2328, mean_absolute_error: 0.4548, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4775, root_relative_squared_error: 1,

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