Task
Supervised Classification on kr-vs-kp

Supervised Classification on kr-vs-kp

Task 3 Supervised Classification kr-vs-kp 173956 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_218 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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173956 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9966, kappa: 0.9931, kb_relative_information_score: 0.9931, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 0.9986, recall: 0.9966, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0587, root_relative_squared_error: 0.1174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9953, kappa: 0.9906, kb_relative_information_score: 0.9906, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9953, predictive_accuracy: 0.9953, prior_entropy: 0.9986, recall: 0.9953, relative_absolute_error: 0.0094, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0685, root_relative_squared_error: 0.1372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.974, kappa: 0.948, kb_relative_information_score: 0.9479, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9741, predictive_accuracy: 0.974, prior_entropy: 0.9986, recall: 0.974, relative_absolute_error: 0.052, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.3226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9881, kappa: 0.9762, kb_relative_information_score: 0.9762, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9881, predictive_accuracy: 0.9881, prior_entropy: 0.9986, recall: 0.9881, relative_absolute_error: 0.0238, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.109, root_relative_squared_error: 0.2183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9844, kappa: 0.9687, kb_relative_information_score: 0.9686, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9845, predictive_accuracy: 0.9844, prior_entropy: 0.9986, recall: 0.9844, relative_absolute_error: 0.0314, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1251, root_relative_squared_error: 0.2504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.9382, kappa: 0.8762, kb_relative_information_score: 0.8764, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9394, predictive_accuracy: 0.9384, prior_entropy: 0.9986, recall: 0.9384, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9947, kappa: 0.9893, kb_relative_information_score: 0.9893, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 0.9986, recall: 0.9947, relative_absolute_error: 0.0107, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0729, root_relative_squared_error: 0.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9969, kappa: 0.9937, kb_relative_information_score: 0.9937, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9986, recall: 0.9969, relative_absolute_error: 0.0063, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.9496, kappa: 0.899, kb_relative_information_score: 0.899, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9497, predictive_accuracy: 0.9496, prior_entropy: 0.9986, recall: 0.9496, relative_absolute_error: 0.101, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.4493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9975, kappa: 0.995, kb_relative_information_score: 0.995, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.9986, recall: 0.9975, relative_absolute_error: 0.005, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.9458, kappa: 0.8914, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9462, predictive_accuracy: 0.9459, prior_entropy: 0.9986, recall: 0.9459, relative_absolute_error: 0.1085, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9962, kappa: 0.9925, kb_relative_information_score: 0.9925, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.9986, recall: 0.9962, relative_absolute_error: 0.0075, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0613, root_relative_squared_error: 0.1227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9941, kappa: 0.9881, kb_relative_information_score: 0.9881, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 0.9986, recall: 0.9941, relative_absolute_error: 0.0119, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.1544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.9559, kappa: 0.9116, kb_relative_information_score: 0.9115, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9559, predictive_accuracy: 0.9559, prior_entropy: 0.9986, recall: 0.9559, relative_absolute_error: 0.0884, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.21, root_relative_squared_error: 0.4205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9966, kappa: 0.9931, kb_relative_information_score: 0.9931, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 0.9986, recall: 0.9966, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0587, root_relative_squared_error: 0.1174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9956, kappa: 0.9912, kb_relative_information_score: 0.9912, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9986, recall: 0.9956, relative_absolute_error: 0.0088, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0662, root_relative_squared_error: 0.1325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9962, kappa: 0.9925, kb_relative_information_score: 0.9925, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.9986, recall: 0.9962, relative_absolute_error: 0.0075, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0613, root_relative_squared_error: 0.1227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9659, kappa: 0.9317, kb_relative_information_score: 0.9316, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9659, predictive_accuracy: 0.9659, prior_entropy: 0.9986, recall: 0.9659, relative_absolute_error: 0.0683, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.3697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9969, kappa: 0.9937, kb_relative_information_score: 0.9937, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9986, recall: 0.9969, relative_absolute_error: 0.0063, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9972, kappa: 0.9944, kb_relative_information_score: 0.9944, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9972, predictive_accuracy: 0.9972, prior_entropy: 0.9986, recall: 0.9972, relative_absolute_error: 0.0056, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0531, root_relative_squared_error: 0.1062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9966, kappa: 0.9931, kb_relative_information_score: 0.9931, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 0.9986, recall: 0.9966, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0587, root_relative_squared_error: 0.1174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.892, kappa: 0.7838, kb_relative_information_score: 0.7847, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8977, predictive_accuracy: 0.8927, prior_entropy: 0.9986, recall: 0.8927, relative_absolute_error: 0.2151, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.6558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.9148, kappa: 0.8292, kb_relative_information_score: 0.8293, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9153, predictive_accuracy: 0.9149, prior_entropy: 0.9986, recall: 0.9149, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2917, root_relative_squared_error: 0.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9962, kappa: 0.9925, kb_relative_information_score: 0.9925, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.9986, recall: 0.9962, relative_absolute_error: 0.0075, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0613, root_relative_squared_error: 0.1227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.9155, kappa: 0.8307, kb_relative_information_score: 0.8306, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9155, predictive_accuracy: 0.9155, prior_entropy: 0.9986, recall: 0.9155, relative_absolute_error: 0.1693, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2907, root_relative_squared_error: 0.5819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.9382, kappa: 0.8762, kb_relative_information_score: 0.8764, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9394, predictive_accuracy: 0.9384, prior_entropy: 0.9986, recall: 0.9384, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9962, kappa: 0.9925, kb_relative_information_score: 0.9925, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.9986, recall: 0.9962, relative_absolute_error: 0.0075, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0613, root_relative_squared_error: 0.1227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.9364, kappa: 0.8724, kb_relative_information_score: 0.8726, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9374, predictive_accuracy: 0.9365, prior_entropy: 0.9986, recall: 0.9365, relative_absolute_error: 0.1273, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.252, root_relative_squared_error: 0.5045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.9382, kappa: 0.8762, kb_relative_information_score: 0.8764, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9394, predictive_accuracy: 0.9384, prior_entropy: 0.9986, recall: 0.9384, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9684, kappa: 0.9368, kb_relative_information_score: 0.9366, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9689, predictive_accuracy: 0.9684, prior_entropy: 0.9986, recall: 0.9684, relative_absolute_error: 0.0633, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.3559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9894, kappa: 0.9787, kb_relative_information_score: 0.9787, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9894, predictive_accuracy: 0.9894, prior_entropy: 0.9986, recall: 0.9894, relative_absolute_error: 0.0213, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1031, root_relative_squared_error: 0.2065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9941, kappa: 0.9881, kb_relative_information_score: 0.9881, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 0.9986, recall: 0.9941, relative_absolute_error: 0.0119, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.1544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.8976, kappa: 0.7948, kb_relative_information_score: 0.7954, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9008, predictive_accuracy: 0.898, prior_entropy: 0.9986, recall: 0.898, relative_absolute_error: 0.2044, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.6394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5092, f_measure: 0.3776, kappa: 0.0191, kb_relative_information_score: 0.0593, mean_absolute_error: 0.469, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.7529, predictive_accuracy: 0.531, prior_entropy: 0.9986, recall: 0.531, relative_absolute_error: 0.9399, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6849, root_relative_squared_error: 1.3711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.9408, kappa: 0.8812, kb_relative_information_score: 0.8814, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9417, predictive_accuracy: 0.9409, prior_entropy: 0.9986, recall: 0.9409, relative_absolute_error: 0.1185, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.4868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9969, kappa: 0.9937, kb_relative_information_score: 0.9937, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9986, recall: 0.9969, relative_absolute_error: 0.0063, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9972, kappa: 0.9944, kb_relative_information_score: 0.9944, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9972, predictive_accuracy: 0.9972, prior_entropy: 0.9986, recall: 0.9972, relative_absolute_error: 0.0056, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0531, root_relative_squared_error: 0.1062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9834, kappa: 0.9668, kb_relative_information_score: 0.9667, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9834, predictive_accuracy: 0.9834, prior_entropy: 0.9986, recall: 0.9834, relative_absolute_error: 0.0332, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1288, root_relative_squared_error: 0.2578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.9382, kappa: 0.8762, kb_relative_information_score: 0.8764, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9394, predictive_accuracy: 0.9384, prior_entropy: 0.9986, recall: 0.9384, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9969, kappa: 0.9937, kb_relative_information_score: 0.9937, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9986, recall: 0.9969, relative_absolute_error: 0.0063, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9872, kappa: 0.9743, kb_relative_information_score: 0.9743, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9872, predictive_accuracy: 0.9872, prior_entropy: 0.9986, recall: 0.9872, relative_absolute_error: 0.0257, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1133, root_relative_squared_error: 0.2268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9937, kappa: 0.9875, kb_relative_information_score: 0.9874, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9938, predictive_accuracy: 0.9937, prior_entropy: 0.9986, recall: 0.9937, relative_absolute_error: 0.0125, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.1584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7272, f_measure: 0.7197, kappa: 0.464, kb_relative_information_score: 0.4747, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8012, predictive_accuracy: 0.7381, prior_entropy: 0.9986, recall: 0.7381, relative_absolute_error: 0.5248, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5118, root_relative_squared_error: 1.0245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9975, kappa: 0.995, kb_relative_information_score: 0.995, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.9986, recall: 0.9975, relative_absolute_error: 0.005, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1002,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.9382, kappa: 0.8762, kb_relative_information_score: 0.8764, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9394, predictive_accuracy: 0.9384, prior_entropy: 0.9986, recall: 0.9384, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.497,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.3583, kb_relative_information_score: 0.002, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1270.0608, usercpu_time_millis: 29.131, usercpu_time_millis_testing: 2.876, usercpu_time_millis_training: 26.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9931, kappa: 0.9862, kb_relative_information_score: 3097.0621, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.9986, recall: 0.9931, relative_absolute_error: 0.0357, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.1576, scimark_benchmark: 1254.3336, usercpu_time_millis: 165.857, usercpu_time_millis_testing: 5.937, usercpu_time_millis_training: 159.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9894, kappa: 0.9787, kb_relative_information_score: 2991.0206, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9894, predictive_accuracy: 0.9894, prior_entropy: 0.9986, recall: 0.9894, relative_absolute_error: 0.0753, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1034, root_relative_squared_error: 0.2071, scimark_benchmark: 1249.4092, usercpu_time_millis: 56.741, usercpu_time_millis_testing: 2.825, usercpu_time_millis_training: 53.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9959, kappa: 0.9918, kb_relative_information_score: 3144.6607, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 0.9986, recall: 0.9959, relative_absolute_error: 0.0182, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.058, root_relative_squared_error: 0.1161, scimark_benchmark: 1244.494, usercpu_time_millis: 82.049, usercpu_time_millis_testing: 2.007, usercpu_time_millis_training: 80.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9552, kappa: 0.9102, kb_relative_information_score: 2189.4594, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9555, predictive_accuracy: 0.9553, prior_entropy: 0.9986, recall: 0.9553, relative_absolute_error: 0.3707, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.4515, scimark_benchmark: 1271.1226, usercpu_time_millis: 32.981, usercpu_time_millis_testing: 2.614, usercpu_time_millis_training: 30.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9603, kappa: 0.9205, kb_relative_information_score: 2757.1627, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9607, predictive_accuracy: 0.9603, prior_entropy: 0.9986, recall: 0.9603, relative_absolute_error: 0.1486, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.178, root_relative_squared_error: 0.3564, scimark_benchmark: 1244.5967, usercpu_time_millis: 117.348, usercpu_time_millis_testing: 4.098, usercpu_time_millis_training: 113.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: -0.0035, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1270.2512, usercpu_time_millis: 12.635, usercpu_time_millis_testing: 2.975, usercpu_time_millis_training: 9.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.9035, kappa: 0.807, kb_relative_information_score: 1760.495, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9112, predictive_accuracy: 0.9043, prior_entropy: 0.9986, recall: 0.9043, relative_absolute_error: 0.5107, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.5981, scimark_benchmark: 1251.9184, usercpu_time_millis: 40.697, usercpu_time_millis_testing: 3.053, usercpu_time_millis_training: 37.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.3583, kb_relative_information_score: -0.1204, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1248.8575, usercpu_time_millis: 6.828, usercpu_time_millis_testing: 0.64, usercpu_time_millis_training: 6.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9953, kappa: 0.9906, kb_relative_information_score: 0.9906, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9953, predictive_accuracy: 0.9953, prior_entropy: 0.9986, recall: 0.9953, relative_absolute_error: 0.0094, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0685, root_relative_squared_error: 0.1372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.9565, kappa: 0.9128, kb_relative_information_score: 0.9128, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9565, predictive_accuracy: 0.9565, prior_entropy: 0.9986, recall: 0.9565, relative_absolute_error: 0.0872, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.9118, kappa: 0.8232, kb_relative_information_score: 0.823, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9118, predictive_accuracy: 0.9118, prior_entropy: 0.9986, recall: 0.9118, relative_absolute_error: 0.1768, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.297, root_relative_squared_error: 0.5947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9678, kappa: 0.9355, kb_relative_information_score: 0.9354, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9683, predictive_accuracy: 0.9678, prior_entropy: 0.9986, recall: 0.9678, relative_absolute_error: 0.0646, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.3594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.9697, kappa: 0.9392, kb_relative_information_score: 0.9391, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.97, predictive_accuracy: 0.9696, prior_entropy: 0.9986, recall: 0.9696, relative_absolute_error: 0.0608, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9703, kappa: 0.9405, kb_relative_information_score: 0.9404, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9704, predictive_accuracy: 0.9703, prior_entropy: 0.9986, recall: 0.9703, relative_absolute_error: 0.0596, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.3452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9725, kappa: 0.9448, kb_relative_information_score: 0.9448, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9725, predictive_accuracy: 0.9725, prior_entropy: 0.9986, recall: 0.9725, relative_absolute_error: 0.0552, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.3322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9834, kappa: 0.9668, kb_relative_information_score: 2550.9932, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9834, predictive_accuracy: 0.9834, prior_entropy: 0.9986, recall: 0.9834, relative_absolute_error: 0.2459, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.327, scimark_benchmark: 1251.0753, usercpu_time_millis: 146.699, usercpu_time_millis_testing: 10.972, usercpu_time_millis_training: 135.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2436.9623, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9422, predictive_accuracy: 0.9409, prior_entropy: 0.9986, recall: 0.9409, relative_absolute_error: 0.2735, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4257, scimark_benchmark: 1228.3978, usercpu_time_millis: 53.028, usercpu_time_millis_testing: 2.118, usercpu_time_millis_training: 50.91,

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