OpenML
Supervised Classification on steel-plates-fault

Supervised Classification on steel-plates-fault

Task 9967 Supervised Classification steel-plates-fault 142880 runs submitted
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  • OpenML100 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 12.9265, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6517, f_measure: 0.6287, kappa: 0.1603, kb_relative_information_score: 289.4942, mean_absolute_error: 0.3785, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6304, predictive_accuracy: 0.6574, prior_entropy: 0.9313, recall: 0.6574, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -975.9309, mean_absolute_error: 0.6533, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.3467, prior_entropy: 0.9313, recall: 0.3467, relative_absolute_error: 1.4419, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.8083, root_relative_squared_error: 1.6983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -975.9309, mean_absolute_error: 0.6533, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.3467, prior_entropy: 0.9313, recall: 0.3467, relative_absolute_error: 1.4419, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.8083, root_relative_squared_error: 1.6983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 4.6895, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 4.658, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9954, kappa: 0.9897, kb_relative_information_score: 1750.3397, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 0.9313, recall: 0.9954, relative_absolute_error: 0.1263, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.2047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 392.6774, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5888, root_relative_squared_error: 1.2372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: -8.33, mean_absolute_error: 0.454, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 22.2189, mean_absolute_error: 0.4482, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9892, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4762, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9238, kappa: 0.8309, kb_relative_information_score: 1072.0007, mean_absolute_error: 0.2274, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9239, predictive_accuracy: 0.9243, prior_entropy: 0.9313, recall: 0.9243, relative_absolute_error: 0.502, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.5912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9048, kappa: 0.7903, kb_relative_information_score: 1245.9754, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.905, predictive_accuracy: 0.9047, prior_entropy: 0.9313, recall: 0.9047, relative_absolute_error: 0.3837, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: 3.4484, mean_absolute_error: 0.4522, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7313, f_measure: 0.678, kappa: 0.2789, kb_relative_information_score: 371.3573, mean_absolute_error: 0.3633, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6751, predictive_accuracy: 0.6847, prior_entropy: 0.9313, recall: 0.6847, relative_absolute_error: 0.802, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4485, root_relative_squared_error: 0.9424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5133, f_measure: 0.5283, kappa: 0.0232, kb_relative_information_score: -216.8708, mean_absolute_error: 0.4833, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.5583, predictive_accuracy: 0.5167, prior_entropy: 0.9313, recall: 0.5167, relative_absolute_error: 1.0666, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.6952, root_relative_squared_error: 1.4607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 3.6807, mean_absolute_error: 0.4521, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 1.982, mean_absolute_error: 0.4522, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 12.3023, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6483, kb_relative_information_score: 20.7172, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4718, root_relative_squared_error: 0.9912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: -24.1824, mean_absolute_error: 0.4559, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0062, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6671, kb_relative_information_score: 33.846, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.982, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4683, root_relative_squared_error: 0.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: 1.8976, mean_absolute_error: 0.4527, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.2869, kappa: -0.0006, kb_relative_information_score: -840.2201, mean_absolute_error: 0.6229, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.5456, predictive_accuracy: 0.3771, prior_entropy: 0.9313, recall: 0.3771, relative_absolute_error: 1.3748, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.7892, root_relative_squared_error: 1.6583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 69.019, mean_absolute_error: 0.4375, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9656, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4786, root_relative_squared_error: 1.0056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -92.6038, mean_absolute_error: 0.4643, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0248, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.2869, kappa: -0.0006, kb_relative_information_score: -840.2201, mean_absolute_error: 0.6229, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.5456, predictive_accuracy: 0.3771, prior_entropy: 0.9313, recall: 0.3771, relative_absolute_error: 1.3748, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.7892, root_relative_squared_error: 1.6583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5562, f_measure: 0.5995, kappa: 0.135, kb_relative_information_score: 96.5077, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.609, predictive_accuracy: 0.5935, prior_entropy: 0.9313, recall: 0.5935, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.6077, root_relative_squared_error: 1.2768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -22.788, mean_absolute_error: 0.4557, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0059, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, f_measure: 0.6997, kappa: 0.3258, kb_relative_information_score: 443.2745, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6976, predictive_accuracy: 0.7074, prior_entropy: 0.9313, recall: 0.7074, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4556, root_relative_squared_error: 0.9572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 12.6775, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: -3.548, mean_absolute_error: 0.4535, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: -5.5428, mean_absolute_error: 0.4537, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.8699, kappa: 0.7132, kb_relative_information_score: 1029.3539, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8701, predictive_accuracy: 0.8697, prior_entropy: 0.9313, recall: 0.8697, relative_absolute_error: 0.4934, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3121, root_relative_squared_error: 0.6557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6698, f_measure: 0.6547, kappa: 0.2412, kb_relative_information_score: 365.0905, mean_absolute_error: 0.3549, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6564, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.7832, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5324, root_relative_squared_error: 1.1186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: -29.4874, mean_absolute_error: 0.4565, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0076, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8034, f_measure: 0.7431, kappa: 0.4269, kb_relative_information_score: 645.3974, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7416, predictive_accuracy: 0.7465, prior_entropy: 0.9313, recall: 0.7465, relative_absolute_error: 0.6639, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.42, root_relative_squared_error: 0.8825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 6.5061, mean_absolute_error: 0.4516, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7355, f_measure: 0.6815, kappa: 0.2805, kb_relative_information_score: 478.912, mean_absolute_error: 0.3365, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6828, predictive_accuracy: 0.6976, prior_entropy: 0.9313, recall: 0.6976, relative_absolute_error: 0.7427, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 7.3071, mean_absolute_error: 0.4515, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 14.1532, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: -13.113, mean_absolute_error: 0.4546, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 17.4629, mean_absolute_error: 0.4492, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9915, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -165.3785, mean_absolute_error: 0.474, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0461, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4808, root_relative_squared_error: 1.0103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 14.5664, mean_absolute_error: 0.4499, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.993, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -35.9532, mean_absolute_error: 0.4573, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0093, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4762, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6734, kb_relative_information_score: 50.2066, mean_absolute_error: 0.4424, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9764, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: -42.2291, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.011, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4762, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 64.2555, mean_absolute_error: 0.4386, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9681, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4782, root_relative_squared_error: 1.0049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6389, f_measure: 0.565, kappa: 0.0533, kb_relative_information_score: 33.9955, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6056, predictive_accuracy: 0.6528, prior_entropy: 0.9313, recall: 0.6528, relative_absolute_error: 0.9739, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4645, root_relative_squared_error: 0.9761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 392.6774, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5888, root_relative_squared_error: 1.2372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6448, f_measure: 0.636, kappa: 0.1804, kb_relative_information_score: 310.024, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6316, predictive_accuracy: 0.6486, prior_entropy: 0.9313, recall: 0.6486, relative_absolute_error: 0.8165, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5057, root_relative_squared_error: 1.0626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 4.9731, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6572, f_measure: 0.6709, kappa: 0.2859, kb_relative_information_score: 445.3592, mean_absolute_error: 0.3357, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6777, predictive_accuracy: 0.6667, prior_entropy: 0.9313, recall: 0.6667, relative_absolute_error: 0.7409, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5585, root_relative_squared_error: 1.1734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7337, f_measure: 0.6868, kappa: 0.2948, kb_relative_information_score: 315.9622, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6852, predictive_accuracy: 0.6976, prior_entropy: 0.9313, recall: 0.6976, relative_absolute_error: 0.8344, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 30.5945, mean_absolute_error: 0.4463, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9851, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 2.2137, mean_absolute_error: 0.4525, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: -20.2117, mean_absolute_error: 0.4554, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0052, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -33.375, mean_absolute_error: 0.457, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0087, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -24.0761, mean_absolute_error: 0.4559, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0062, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -19.7934, mean_absolute_error: 0.4554, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0051, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: -3.8445, mean_absolute_error: 0.4535, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -12.4494, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -416.0894, mean_absolute_error: 0.5137, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.3467, prior_entropy: 0.9313, recall: 0.3467, relative_absolute_error: 1.1339, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5155, root_relative_squared_error: 1.0831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 22.143, mean_absolute_error: 0.4482, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9893, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4762, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 4.6683, mean_absolute_error: 0.4517, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.8638, kappa: 0.6991, kb_relative_information_score: 1122.0428, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8637, predictive_accuracy: 0.864, prior_entropy: 0.9313, recall: 0.864, relative_absolute_error: 0.4366, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.6651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 23.5122, mean_absolute_error: 0.4476, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9879, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4763, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -37.1375, mean_absolute_error: 0.4574, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0097, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4762, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: -171.3396, mean_absolute_error: 0.4748, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.048, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4813, root_relative_squared_error: 1.0114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -70.8093, mean_absolute_error: 0.4616, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0188, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4768, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -12.6634, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.579, f_measure: 0.6, kappa: 0.1216, kb_relative_information_score: 103.6664, mean_absolute_error: 0.4319, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6587, predictive_accuracy: 0.6734, prior_entropy: 0.9313, recall: 0.6734, relative_absolute_error: 0.9534, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9059, kappa: 0.7928, kb_relative_information_score: 1256.4338, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9062, predictive_accuracy: 0.9057, prior_entropy: 0.9313, recall: 0.9057, relative_absolute_error: 0.3826, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6158, kb_relative_information_score: 12.317, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.9926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -43.8854, mean_absolute_error: 0.4583, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0115, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4763, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5943, kb_relative_information_score: 18.811, mean_absolute_error: 0.4489, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9908, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 36.8657, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.982, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: -4.8078, mean_absolute_error: 0.4536, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 38.0955, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9814, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 17.8238, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9904, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4762, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7168, f_measure: 0.6748, kappa: 0.2657, kb_relative_information_score: 268.0171, mean_absolute_error: 0.3896, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6745, predictive_accuracy: 0.6899, prior_entropy: 0.9313, recall: 0.6899, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.9369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5012, kb_relative_information_score: -259.8433, mean_absolute_error: 0.4882, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0776, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4912, root_relative_squared_error: 1.0321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -39.7189, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0103, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4762, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -27.0258, mean_absolute_error: 0.4562, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.007, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.5489, kappa: 0.0011, kb_relative_information_score: 43.0668, mean_absolute_error: 0.4403, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.5478, predictive_accuracy: 0.6229, prior_entropy: 0.9313, recall: 0.6229, relative_absolute_error: 0.9718, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4821, root_relative_squared_error: 1.0131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -975.9309, mean_absolute_error: 0.6533, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.3467, prior_entropy: 0.9313, recall: 0.3467, relative_absolute_error: 1.4419, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.8083, root_relative_squared_error: 1.6983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: -19.6695, mean_absolute_error: 0.4554, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0051, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9284, kappa: 0.841, kb_relative_information_score: 1093.2463, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9287, predictive_accuracy: 0.9289, prior_entropy: 0.9313, recall: 0.9289, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.5781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -90.3324, mean_absolute_error: 0.464, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0242, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4773, root_relative_squared_error: 1.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.6489, kappa: 0.2106, kb_relative_information_score: 154.8027, mean_absolute_error: 0.4146, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.645, predictive_accuracy: 0.6595, prior_entropy: 0.9313, recall: 0.6595, relative_absolute_error: 0.915, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4568, root_relative_squared_error: 0.9598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9753, kappa: 0.9456, kb_relative_information_score: 1463.2534, mean_absolute_error: 0.1337, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9754, predictive_accuracy: 0.9753, prior_entropy: 0.9313, recall: 0.9753, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.3905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 6.4475, mean_absolute_error: 0.4517, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 3.1488, mean_absolute_error: 0.4524, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -21.0034, mean_absolute_error: 0.4555, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0054, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7231, f_measure: 0.6724, kappa: 0.2604, kb_relative_information_score: 280.7908, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6717, predictive_accuracy: 0.6873, prior_entropy: 0.9313, recall: 0.6873, relative_absolute_error: 0.8531, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.9331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.6721, kappa: 0.2583, kb_relative_information_score: 255.2752, mean_absolute_error: 0.395, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6773, predictive_accuracy: 0.694, prior_entropy: 0.9313, recall: 0.694, relative_absolute_error: 0.8719, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.9124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 54.8429, mean_absolute_error: 0.4408, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9729, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4776, root_relative_squared_error: 1.0035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6671, f_measure: 0.5858, kappa: 0.0901, kb_relative_information_score: 135.9221, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6294, predictive_accuracy: 0.6615, prior_entropy: 0.9313, recall: 0.6615, relative_absolute_error: 0.9277, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.7911, kappa: 0.5473, kb_relative_information_score: 624.9781, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7975, predictive_accuracy: 0.7883, prior_entropy: 0.9313, recall: 0.7883, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.7995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -975.9309, mean_absolute_error: 0.6533, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.3467, prior_entropy: 0.9313, recall: 0.3467, relative_absolute_error: 1.4419, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.8083, root_relative_squared_error: 1.6983,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs