Task
Supervised Classification on ilpd

Supervised Classification on ilpd

Task 9971 Supervised Classification ilpd 123042 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_7 study_98 study_99
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123042 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2414, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, recall: 0.7136, relative_absolute_error: 0.7002, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5352, root_relative_squared_error: 1.1838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5544, f_measure: 0.6632, kappa: 0.1358, kb_relative_information_score: 0.2505, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.675, predictive_accuracy: 0.717, prior_entropy: 0.8641, recall: 0.717, relative_absolute_error: 0.6918, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.532, root_relative_squared_error: 1.1767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7264, f_measure: 0.6344, kappa: 0.0635, kb_relative_information_score: 56.2627, mean_absolute_error: 0.3533, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.634, predictive_accuracy: 0.6981, prior_entropy: 0.8651, recall: 0.6981, relative_absolute_error: 0.8637, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.9332, scimark_benchmark: 1097.3344, usercpu_time_millis: 0.148, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4932, f_measure: 0.5943, kb_relative_information_score: -0.002, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1, scimark_benchmark: 1743.339, usercpu_time_millis: 0.85, usercpu_time_millis_testing: 0.209, usercpu_time_millis_training: 0.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.74, f_measure: 0.6018, kappa: 0.0032, kb_relative_information_score: 49.6247, mean_absolute_error: 0.3619, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5976, predictive_accuracy: 0.705, prior_entropy: 0.8651, recall: 0.705, relative_absolute_error: 0.8846, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4196, root_relative_squared_error: 0.9282, scimark_benchmark: 1749.4647, usercpu_time_millis: 1.636, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 1.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.6418, kappa: 0.0901, kb_relative_information_score: 52.1597, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6767, predictive_accuracy: 0.7187, prior_entropy: 0.8651, recall: 0.7187, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.9285, scimark_benchmark: 1745.7125, usercpu_time_millis: 2.058, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 1.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.5943, kb_relative_information_score: 0.7846, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1.0001, scimark_benchmark: 1865.3572, usercpu_time_millis: 0.116, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, f_measure: 0.5943, kb_relative_information_score: -0.3683, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1, scimark_benchmark: 1870.6804, usercpu_time_millis: 0.351, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.6527, kappa: 0.1119, kb_relative_information_score: 56.9381, mean_absolute_error: 0.3547, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6727, predictive_accuracy: 0.717, prior_entropy: 0.8651, recall: 0.717, relative_absolute_error: 0.8671, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.9295, scimark_benchmark: 1093.6606, usercpu_time_millis: 1.53, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 1.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7406, f_measure: 0.5957, kappa: -0.0017, kb_relative_information_score: 48.2963, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5806, predictive_accuracy: 0.7101, prior_entropy: 0.8651, recall: 0.7101, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.9297, scimark_benchmark: 1168.7682, usercpu_time_millis: 1.108, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 0.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7458, f_measure: 0.6352, kappa: 0.07, kb_relative_information_score: 58.5226, mean_absolute_error: 0.355, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6491, predictive_accuracy: 0.7084, prior_entropy: 0.8651, recall: 0.7084, relative_absolute_error: 0.8678, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.9236, scimark_benchmark: 1498.0818, usercpu_time_millis: 1.164, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 0.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.5943, kb_relative_information_score: 0.2695, mean_absolute_error: 0.4086, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1, scimark_benchmark: 1871.9601, usercpu_time_millis: 0.305, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.6831, kappa: 0.2015, kb_relative_information_score: 71.5144, mean_absolute_error: 0.3397, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6762, predictive_accuracy: 0.6964, prior_entropy: 0.8651, recall: 0.6964, relative_absolute_error: 0.8302, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.9516, scimark_benchmark: 1853.0623, usercpu_time_millis: 0.366, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 0.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.731, f_measure: 0.6211, kappa: 0.0379, kb_relative_information_score: 50.8228, mean_absolute_error: 0.3596, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6281, predictive_accuracy: 0.7033, prior_entropy: 0.8651, recall: 0.7033, relative_absolute_error: 0.8791, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.9316, scimark_benchmark: 1867.1999, usercpu_time_millis: 0.528, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 0.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7343, f_measure: 0.6486, kappa: 0.0979, kb_relative_information_score: 56.7517, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6503, predictive_accuracy: 0.7033, prior_entropy: 0.8651, recall: 0.7033, relative_absolute_error: 0.8666, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.9283, scimark_benchmark: 1155.1218, usercpu_time_millis: 3.885, usercpu_time_millis_testing: 0.695, usercpu_time_millis_training: 3.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6461, f_measure: 0.5966, kappa: 0.0017, kb_relative_information_score: -0.1654, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6048, predictive_accuracy: 0.7118, prior_entropy: 0.865, recall: 0.7118, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4908, kb_relative_information_score: 0.2784, mean_absolute_error: 0.4088, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4908, kb_relative_information_score: 0.2785, mean_absolute_error: 0.4088, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6104, f_measure: 0.6832, kappa: 0.2224, kb_relative_information_score: 0.1642, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6821, predictive_accuracy: 0.6844, prior_entropy: 0.8641, recall: 0.6844, relative_absolute_error: 0.7715, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5618, root_relative_squared_error: 1.2426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.5948, kappa: -0.0051, kb_relative_information_score: 0.2278, mean_absolute_error: 0.2916, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5659, predictive_accuracy: 0.7084, prior_entropy: 0.8641, recall: 0.7084, relative_absolute_error: 0.7128, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.54, root_relative_squared_error: 1.1944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2414, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, recall: 0.7136, relative_absolute_error: 0.7002, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5352, root_relative_squared_error: 1.1838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7255, f_measure: 0.6896, kappa: 0.203, kb_relative_information_score: 0.1035, mean_absolute_error: 0.3533, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6939, predictive_accuracy: 0.7256, prior_entropy: 0.8641, recall: 0.7256, relative_absolute_error: 0.8635, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.9382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, kb_relative_information_score: 0.03, mean_absolute_error: 0.3916, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, recall: 0.7136, relative_absolute_error: 0.9571, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, kb_relative_information_score: 0.0287, mean_absolute_error: 0.3877, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, recall: 0.7136, relative_absolute_error: 0.9477, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.9641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.6928, kappa: 0.2131, kb_relative_information_score: 0.1085, mean_absolute_error: 0.3494, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6921, predictive_accuracy: 0.7221, prior_entropy: 0.8641, recall: 0.7221, relative_absolute_error: 0.854, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.711, f_measure: 0.6462, kappa: 0.0915, kb_relative_information_score: 0.08, mean_absolute_error: 0.3608, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6453, predictive_accuracy: 0.6998, prior_entropy: 0.8641, recall: 0.6998, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7197, f_measure: 0.6634, kappa: 0.1498, kb_relative_information_score: 0.1164, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6549, predictive_accuracy: 0.6792, prior_entropy: 0.8641, recall: 0.6792, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.9702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7027, kb_relative_information_score: 0.0257, mean_absolute_error: 0.3948, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, recall: 0.7136, relative_absolute_error: 0.9651, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.9686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6652, kb_relative_information_score: 0.0072, mean_absolute_error: 0.4031, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, recall: 0.7136, relative_absolute_error: 0.9853, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.9869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.717, f_measure: 0.6732, kappa: 0.1776, kb_relative_information_score: 0.1078, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6659, predictive_accuracy: 0.6861, prior_entropy: 0.8641, recall: 0.6861, relative_absolute_error: 0.8397, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.9746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6945, kb_relative_information_score: 0.0181, mean_absolute_error: 0.3977, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, recall: 0.7136, relative_absolute_error: 0.9721, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.9763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6917, kb_relative_information_score: 0.0111, mean_absolute_error: 0.4029, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, recall: 0.7136, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.9861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6929, kb_relative_information_score: 0.0131, mean_absolute_error: 0.4008, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, recall: 0.7136, relative_absolute_error: 0.9798, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7076, kb_relative_information_score: 0.0337, mean_absolute_error: 0.3886, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, recall: 0.7136, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.9601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7484, f_measure: 0.697, kappa: 0.2457, kb_relative_information_score: 0.1804, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6925, predictive_accuracy: 0.7033, prior_entropy: 0.8641, recall: 0.7033, relative_absolute_error: 0.7675, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.9756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7044, kb_relative_information_score: 0.0316, mean_absolute_error: 0.3896, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, recall: 0.7136, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, kb_relative_information_score: 0.0313, mean_absolute_error: 0.3905, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, recall: 0.7136, relative_absolute_error: 0.9544, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.435, root_relative_squared_error: 0.9622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, kb_relative_information_score: 0.0309, mean_absolute_error: 0.3921, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, recall: 0.7136, relative_absolute_error: 0.9584, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.9656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7173, kb_relative_information_score: 0.0336, mean_absolute_error: 0.3905, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, recall: 0.7136, relative_absolute_error: 0.9546, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.435, root_relative_squared_error: 0.9622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.673, kb_relative_information_score: 0.0034, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, recall: 0.7136, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6971, f_measure: 0.6648, kappa: 0.1396, kb_relative_information_score: 0.0678, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6755, predictive_accuracy: 0.717, prior_entropy: 0.8641, recall: 0.717, relative_absolute_error: 0.8938, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.9506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.682, kb_relative_information_score: 0.0135, mean_absolute_error: 0.3998, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, recall: 0.7136, relative_absolute_error: 0.9772, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.9805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, kb_relative_information_score: 0.0134, mean_absolute_error: 0.4005, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, recall: 0.7136, relative_absolute_error: 0.979, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.9808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6727, kb_relative_information_score: 0.0148, mean_absolute_error: 0.3977, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, recall: 0.7136, relative_absolute_error: 0.9722, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7313, f_measure: 0.6478, kappa: 0.0955, kb_relative_information_score: 0.0992, mean_absolute_error: 0.3523, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6466, predictive_accuracy: 0.6998, prior_entropy: 0.8641, recall: 0.6998, relative_absolute_error: 0.8612, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.9301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7145, f_measure: 0.5934, kappa: -0.0034, kb_relative_information_score: 0.0566, mean_absolute_error: 0.3753, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5088, predictive_accuracy: 0.7118, prior_entropy: 0.8641, recall: 0.7118, relative_absolute_error: 0.9174, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.9443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7162, f_measure: 0.6866, kappa: 0.1968, kb_relative_information_score: 0.0982, mean_absolute_error: 0.3568, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6848, predictive_accuracy: 0.717, prior_entropy: 0.8641, recall: 0.717, relative_absolute_error: 0.8721, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.9458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, kb_relative_information_score: 0.0248, mean_absolute_error: 0.3905, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, recall: 0.7136, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6847, kb_relative_information_score: 0.0224, mean_absolute_error: 0.3935, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, recall: 0.7136, relative_absolute_error: 0.9619, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.9695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7148, f_measure: 0.6958, kappa: 0.2227, kb_relative_information_score: 0.117, mean_absolute_error: 0.3454, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6926, predictive_accuracy: 0.7204, prior_entropy: 0.8641, recall: 0.7204, relative_absolute_error: 0.8444, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.6005, kappa: 0.0101, kb_relative_information_score: 0.0449, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6534, predictive_accuracy: 0.7136, prior_entropy: 0.8641, recall: 0.7136, relative_absolute_error: 0.9385, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.9561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7282, f_measure: 0.6333, kappa: 0.0603, kb_relative_information_score: 0.0995, mean_absolute_error: 0.3502, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6313, predictive_accuracy: 0.6964, prior_entropy: 0.8641, recall: 0.6964, relative_absolute_error: 0.856, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.9333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6817, kb_relative_information_score: 0.0134, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, recall: 0.7136, relative_absolute_error: 0.9749, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.9802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.674, kb_relative_information_score: 0.0036, mean_absolute_error: 0.4063, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, recall: 0.7136, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.9939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.6976, kappa: 0.2485, kb_relative_information_score: 0.188, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6935, predictive_accuracy: 0.7033, prior_entropy: 0.8641, recall: 0.7033, relative_absolute_error: 0.7532, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5192, root_relative_squared_error: 1.1484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6769, kb_relative_information_score: 0.0117, mean_absolute_error: 0.4015, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, recall: 0.7136, relative_absolute_error: 0.9814, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.9842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7028, f_measure: 0.6252, kappa: 0.0511, kb_relative_information_score: 0.052, mean_absolute_error: 0.3804, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6472, predictive_accuracy: 0.7101, prior_entropy: 0.8641, recall: 0.7101, relative_absolute_error: 0.9299, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.9545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: 17.7533, mean_absolute_error: 0.3958, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9675, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4532, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, kb_relative_information_score: -22.2104, mean_absolute_error: 0.4158, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 1.0165, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4524, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: 4.1742, mean_absolute_error: 0.406, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4522, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6526, kb_relative_information_score: -10.465, mean_absolute_error: 0.4122, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 1.0077, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.693, kb_relative_information_score: 6.3679, mean_absolute_error: 0.4044, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.451, root_relative_squared_error: 0.9976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, kb_relative_information_score: -6.9828, mean_absolute_error: 0.4112, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 1.0051, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4522, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, kb_relative_information_score: 28.9974, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9449, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.9788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: 16.6519, mean_absolute_error: 0.3961, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9683, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4553, root_relative_squared_error: 1.0071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.6752, kappa: 0.1656, kb_relative_information_score: 53.6597, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6792, predictive_accuracy: 0.717, prior_entropy: 0.865, recall: 0.717, relative_absolute_error: 0.8804, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.9342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, kb_relative_information_score: -28.4568, mean_absolute_error: 0.4178, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 1.0213, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4526, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, kb_relative_information_score: 5.0784, mean_absolute_error: 0.4054, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9908, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4522, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, kb_relative_information_score: 2.6781, mean_absolute_error: 0.4071, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, kb_relative_information_score: 4.3638, mean_absolute_error: 0.4042, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.988, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4438, root_relative_squared_error: 0.9817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5974, kb_relative_information_score: -18.6154, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 1.0116, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7248, kb_relative_information_score: 31.9059, mean_absolute_error: 0.381, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9313, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.9539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -12.7052, mean_absolute_error: 0.4116, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 1.0062, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4525, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, kb_relative_information_score: 1.993, mean_absolute_error: 0.4076, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, kb_relative_information_score: -21.2303, mean_absolute_error: 0.4155, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 1.0157, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4516, root_relative_squared_error: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, kb_relative_information_score: -2.8365, mean_absolute_error: 0.4098, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2414, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, recall: 0.7136, relative_absolute_error: 0.7002, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5352, root_relative_squared_error: 1.1838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.518, f_measure: 0.6177, kappa: 0.0505, kb_relative_information_score: 0.2687, mean_absolute_error: 0.2762, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.8009, predictive_accuracy: 0.7238, prior_entropy: 0.8641, recall: 0.7238, relative_absolute_error: 0.675, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5255, root_relative_squared_error: 1.1624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2414, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, recall: 0.7136, relative_absolute_error: 0.7002, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5352, root_relative_squared_error: 1.1838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2414, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, recall: 0.7136, relative_absolute_error: 0.7002, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5352, root_relative_squared_error: 1.1838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5274, f_measure: 0.6367, kappa: 0.0699, kb_relative_information_score: 0.2096, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6398, predictive_accuracy: 0.7015, prior_entropy: 0.8641, recall: 0.7015, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5463, root_relative_squared_error: 1.2084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5806, f_measure: 0.6772, kappa: 0.1791, kb_relative_information_score: 0.2005, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6698, predictive_accuracy: 0.6981, prior_entropy: 0.8641, recall: 0.6981, relative_absolute_error: 0.7379, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5494, root_relative_squared_error: 1.2153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5298, f_measure: 0.6389, kappa: 0.0764, kb_relative_information_score: 0.2187, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6459, predictive_accuracy: 0.705, prior_entropy: 0.8641, recall: 0.705, relative_absolute_error: 0.7212, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5432, root_relative_squared_error: 1.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5526, f_measure: 0.6615, kappa: 0.1319, kb_relative_information_score: 0.2505, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6746, predictive_accuracy: 0.717, prior_entropy: 0.8641, recall: 0.717, relative_absolute_error: 0.6918, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.532, root_relative_squared_error: 1.1767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5514, f_measure: 0.6603, kappa: 0.1286, kb_relative_information_score: 0.2459, mean_absolute_error: 0.2847, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6715, predictive_accuracy: 0.7153, prior_entropy: 0.8641, recall: 0.7153, relative_absolute_error: 0.696, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5336, root_relative_squared_error: 1.1803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.574, f_measure: 0.6728, kappa: 0.1662, kb_relative_information_score: 0.196, mean_absolute_error: 0.3036, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6652, predictive_accuracy: 0.6964, prior_entropy: 0.8641, recall: 0.6964, relative_absolute_error: 0.7421, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.551, root_relative_squared_error: 1.2188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5412, f_measure: 0.6504, kappa: 0.1053, kb_relative_information_score: 0.2414, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6654, predictive_accuracy: 0.7136, prior_entropy: 0.8641, recall: 0.7136, relative_absolute_error: 0.7002, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5352, root_relative_squared_error: 1.1838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5442, f_measure: 0.6533, kappa: 0.1108, kb_relative_information_score: 0.2323, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6613, predictive_accuracy: 0.7101, prior_entropy: 0.8641, recall: 0.7101, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5384, root_relative_squared_error: 1.1909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5484, f_measure: 0.6574, kappa: 0.1213, kb_relative_information_score: 0.2414, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6679, predictive_accuracy: 0.7136, prior_entropy: 0.8641, recall: 0.7136, relative_absolute_error: 0.7002, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5352, root_relative_squared_error: 1.1838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.6819, kappa: 0.1917, kb_relative_information_score: 0.2096, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6748, predictive_accuracy: 0.7015, prior_entropy: 0.8641, recall: 0.7015, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5463, root_relative_squared_error: 1.2084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.543, f_measure: 0.6521, kappa: 0.1076, kb_relative_information_score: 0.2278, mean_absolute_error: 0.2916, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6584, predictive_accuracy: 0.7084, prior_entropy: 0.8641, recall: 0.7084, relative_absolute_error: 0.7128, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.54, root_relative_squared_error: 1.1944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5914, f_measure: 0.6851, kappa: 0.2011, kb_relative_information_score: 0.2141, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6782, predictive_accuracy: 0.7033, prior_entropy: 0.8641, recall: 0.7033, relative_absolute_error: 0.7253, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5447, root_relative_squared_error: 1.2049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5943, f_measure: 0.6874, kappa: 0.2073, kb_relative_information_score: 0.2187, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6807, predictive_accuracy: 0.705, prior_entropy: 0.8641, recall: 0.705, relative_absolute_error: 0.7212, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5432, root_relative_squared_error: 1.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5782, f_measure: 0.6765, kappa: 0.1756, kb_relative_information_score: 0.2051, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6694, predictive_accuracy: 0.6998, prior_entropy: 0.8641, recall: 0.6998, relative_absolute_error: 0.7337, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5479, root_relative_squared_error: 1.2118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5878, f_measure: 0.6832, kappa: 0.1947, kb_relative_information_score: 0.2141, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6764, predictive_accuracy: 0.7033, prior_entropy: 0.8641, recall: 0.7033, relative_absolute_error: 0.7253, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5447, root_relative_squared_error: 1.2049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5973, f_measure: 0.6896, kappa: 0.2134, kb_relative_information_score: 0.2232, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6831, predictive_accuracy: 0.7067, prior_entropy: 0.8641, recall: 0.7067, relative_absolute_error: 0.717, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5416, root_relative_squared_error: 1.1979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5896, f_measure: 0.6842, kappa: 0.1979, kb_relative_information_score: 0.2141, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6773, predictive_accuracy: 0.7033, prior_entropy: 0.8641, recall: 0.7033, relative_absolute_error: 0.7253, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5447, root_relative_squared_error: 1.2049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5466, f_measure: 0.6557, kappa: 0.1174, kb_relative_information_score: 0.2414, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6673, predictive_accuracy: 0.7136, prior_entropy: 0.8641, recall: 0.7136, relative_absolute_error: 0.7002, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5352, root_relative_squared_error: 1.1838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5574, f_measure: 0.6661, kappa: 0.1429, kb_relative_information_score: 0.255, mean_absolute_error: 0.2813, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6785, predictive_accuracy: 0.7187, prior_entropy: 0.8641, recall: 0.7187, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5304, root_relative_squared_error: 1.1731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.589, f_measure: 0.6846, kappa: 0.1978, kb_relative_information_score: 0.2187, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.678, predictive_accuracy: 0.705, prior_entropy: 0.8641, recall: 0.705, relative_absolute_error: 0.7212, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5432, root_relative_squared_error: 1.2014,

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