OpenML
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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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9953, kappa: 0.9906, kb_relative_information_score: 3098.1684, mean_absolute_error: 0.0183, 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: 0.0367, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.1393, scimark_benchmark: 1240.9552, usercpu_time_millis: 189.553, usercpu_time_millis_testing: 8.418, usercpu_time_millis_training: 181.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2574.7522, mean_absolute_error: 0.1085, 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: 0.2174, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.422, scimark_benchmark: 1240.9505, usercpu_time_millis: 5.44, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 5.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3583, kb_relative_information_score: 0.0629, 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: 1239.2309, usercpu_time_millis: 6.79, usercpu_time_millis_testing: 0.79, usercpu_time_millis_training: 6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9934, kappa: 0.9868, kb_relative_information_score: 3084.7742, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.9986, recall: 0.9934, relative_absolute_error: 0.0402, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.1658, scimark_benchmark: 1241.2596, usercpu_time_millis: 274.439, usercpu_time_millis_testing: 5.941, usercpu_time_millis_training: 268.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9812, kappa: 0.9624, kb_relative_information_score: 2968.8111, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9813, predictive_accuracy: 0.9812, prior_entropy: 0.9986, recall: 0.9812, relative_absolute_error: 0.0788, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.2459, scimark_benchmark: 1241.6779, usercpu_time_millis: 143.581, usercpu_time_millis_testing: 4.999, usercpu_time_millis_training: 138.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.99, kappa: 0.9799, kb_relative_information_score: 3028.5366, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 0.9986, recall: 0.99, relative_absolute_error: 0.0613, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.1909, scimark_benchmark: 1261.0939, usercpu_time_millis: 116.024, usercpu_time_millis_testing: 4.582, usercpu_time_millis_training: 111.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2529.8965, mean_absolute_error: 0.1177, 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: 0.2359, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.4171, scimark_benchmark: 1267.1429, usercpu_time_millis: 3.682, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 3.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9953, kappa: 0.9906, kb_relative_information_score: 3117.5882, mean_absolute_error: 0.0143, 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: 0.0286, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0673, root_relative_squared_error: 0.1348, scimark_benchmark: 1236.957, usercpu_time_millis: 18.265, usercpu_time_millis_testing: 0.481, usercpu_time_millis_training: 17.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.8696, kappa: 0.74, kb_relative_information_score: 481.7044, mean_absolute_error: 0.4422, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8851, predictive_accuracy: 0.8714, prior_entropy: 0.9986, recall: 0.8714, relative_absolute_error: 0.8862, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4452, root_relative_squared_error: 0.8913, scimark_benchmark: 1231.9123, usercpu_time_millis: 6.036, usercpu_time_millis_testing: 0.646, usercpu_time_millis_training: 5.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.3583, kb_relative_information_score: 0.0002, 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: 1234.667, usercpu_time_millis: 10.393, usercpu_time_millis_testing: 1.075, usercpu_time_millis_training: 9.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9884, kappa: 0.9768, kb_relative_information_score: 2996.1417, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9884, predictive_accuracy: 0.9884, prior_entropy: 0.9986, recall: 0.9884, relative_absolute_error: 0.0723, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1059, root_relative_squared_error: 0.2119, scimark_benchmark: 1265.2048, usercpu_time_millis: 41.052, usercpu_time_millis_testing: 1.686, usercpu_time_millis_training: 39.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9703, kappa: 0.9405, kb_relative_information_score: 2535.0571, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9703, predictive_accuracy: 0.9703, prior_entropy: 0.9986, recall: 0.9703, relative_absolute_error: 0.2435, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.3661, scimark_benchmark: 1230.5793, usercpu_time_millis: 37.936, usercpu_time_millis_testing: 1.876, usercpu_time_millis_training: 36.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9587, kappa: 0.9174, kb_relative_information_score: 2759.9864, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9592, predictive_accuracy: 0.9587, prior_entropy: 0.9986, recall: 0.9587, relative_absolute_error: 0.1445, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.367, scimark_benchmark: 1250.4888, usercpu_time_millis: 14.001, usercpu_time_millis_testing: 0.432, usercpu_time_millis_training: 13.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9959, kappa: 0.9918, kb_relative_information_score: 3140.9839, mean_absolute_error: 0.0099, 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: 0.0198, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0575, root_relative_squared_error: 0.1151, scimark_benchmark: 1262.882, usercpu_time_millis: 171.201, usercpu_time_millis_testing: 6.641, usercpu_time_millis_training: 164.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3583, kb_relative_information_score: -0.0269, 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: 1266.6014, usercpu_time_millis: 13.955, usercpu_time_millis_testing: 1.604, usercpu_time_millis_training: 12.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9228, kappa: 0.8452, kb_relative_information_score: 685.7393, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9256, predictive_accuracy: 0.923, prior_entropy: 0.9986, recall: 0.923, relative_absolute_error: 0.8337, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.8433, scimark_benchmark: 1269.8495, usercpu_time_millis: 17.688, usercpu_time_millis_testing: 1.642, usercpu_time_millis_training: 16.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9869, kappa: 0.9737, kb_relative_information_score: 2817.9572, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9986, recall: 0.9869, relative_absolute_error: 0.1447, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1229, root_relative_squared_error: 0.246, scimark_benchmark: 1246.8139, usercpu_time_millis: 124.819, usercpu_time_millis_testing: 6.831, usercpu_time_millis_training: 117.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9881, kappa: 0.9762, kb_relative_information_score: 2961.5874, mean_absolute_error: 0.0433, 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: 0.0867, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1082, root_relative_squared_error: 0.2166, scimark_benchmark: 1244.4759, usercpu_time_millis: 124.745, usercpu_time_millis_testing: 6.657, usercpu_time_millis_training: 118.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9429, kappa: 0.8855, kb_relative_information_score: 1061.3512, mean_absolute_error: 0.3643, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9451, predictive_accuracy: 0.9431, prior_entropy: 0.9986, recall: 0.9431, relative_absolute_error: 0.7301, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.7502, scimark_benchmark: 1238.0494, usercpu_time_millis: 23.43, usercpu_time_millis_testing: 2.59, usercpu_time_millis_training: 20.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.9527, kappa: 0.9053, kb_relative_information_score: 0.9052, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9528, predictive_accuracy: 0.9528, prior_entropy: 0.9986, recall: 0.9528, relative_absolute_error: 0.0947, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.4352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.9074, kappa: 0.8145, kb_relative_information_score: 0.8142, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9075, predictive_accuracy: 0.9074, prior_entropy: 0.9986, recall: 0.9074, relative_absolute_error: 0.1856, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.6093,
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: 0.5, kb_relative_information_score: 0.0417, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.3838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.9427, kappa: 0.885, kb_relative_information_score: 0.8852, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9435, predictive_accuracy: 0.9427, prior_entropy: 0.9986, recall: 0.9427, relative_absolute_error: 0.1147, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2393, root_relative_squared_error: 0.4791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.9599, kappa: 0.9197, kb_relative_information_score: 0.9197, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.96, predictive_accuracy: 0.9599, prior_entropy: 0.9986, recall: 0.9599, relative_absolute_error: 0.0803, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.4006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.8685, kappa: 0.7376, kb_relative_information_score: 0.7396, mean_absolute_error: 0.1298, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8825, predictive_accuracy: 0.8702, prior_entropy: 0.9986, recall: 0.8702, relative_absolute_error: 0.2602, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.7214,
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: 0.9937, 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: 0.9119, f_measure: 0.9121, kappa: 0.8238, kb_relative_information_score: 0.8237, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9121, predictive_accuracy: 0.9121, prior_entropy: 0.9986, recall: 0.9121, relative_absolute_error: 0.1762, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2965, root_relative_squared_error: 0.5936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, 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: 0.9937, 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: 0.9119, f_measure: 0.9121, kappa: 0.8238, kb_relative_information_score: 0.8237, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9121, predictive_accuracy: 0.9121, prior_entropy: 0.9986, recall: 0.9121, relative_absolute_error: 0.1762, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2965, root_relative_squared_error: 0.5936,
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: 0.9476, f_measure: 0.948, kappa: 0.8958, kb_relative_information_score: 0.8958, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9482, predictive_accuracy: 0.9481, prior_entropy: 0.9986, recall: 0.9481, relative_absolute_error: 0.1041, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.4563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9812, kappa: 0.9624, kb_relative_information_score: 2981.6059, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9813, predictive_accuracy: 0.9812, prior_entropy: 0.9986, recall: 0.9812, relative_absolute_error: 0.0736, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1223, root_relative_squared_error: 0.2449, scimark_benchmark: 1266.667, usercpu_time_millis: 86.383, usercpu_time_millis_testing: 2.367, usercpu_time_millis_training: 84.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9941, kappa: 0.9881, kb_relative_information_score: 3045.5712, mean_absolute_error: 0.0278, 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: 0.0556, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.1756, scimark_benchmark: 1265.5213, usercpu_time_millis: 98.533, usercpu_time_millis_testing: 5.441, usercpu_time_millis_training: 93.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.969, kappa: 0.9379, kb_relative_information_score: 2873.225, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9986, recall: 0.969, relative_absolute_error: 0.1124, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1447, root_relative_squared_error: 0.2896, scimark_benchmark: 1243.6218, usercpu_time_millis: 22.532, usercpu_time_millis_testing: 1.443, usercpu_time_millis_training: 21.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9728, kappa: 0.9455, kb_relative_information_score: 2802.806, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9728, predictive_accuracy: 0.9728, prior_entropy: 0.9986, recall: 0.9728, relative_absolute_error: 0.1441, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.283, scimark_benchmark: 1262.3581, usercpu_time_millis: 72.705, usercpu_time_millis_testing: 3.549, usercpu_time_millis_training: 69.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.9071, kappa: 0.814, kb_relative_information_score: 627.3115, mean_absolute_error: 0.4214, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9139, predictive_accuracy: 0.9077, prior_entropy: 0.9986, recall: 0.9077, relative_absolute_error: 0.8444, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.8595, scimark_benchmark: 1241.759, usercpu_time_millis: 38.566, usercpu_time_millis_testing: 3.203, usercpu_time_millis_training: 35.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9937, kappa: 0.9875, kb_relative_information_score: 3019.764, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9937, predictive_accuracy: 0.9937, prior_entropy: 0.9986, recall: 0.9937, relative_absolute_error: 0.0656, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.093, root_relative_squared_error: 0.1862, scimark_benchmark: 1252.0792, usercpu_time_millis: 59.071, usercpu_time_millis_testing: 3.787, usercpu_time_millis_training: 55.284,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9862, kappa: 0.9724, kb_relative_information_score: 0.9724, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.9986, recall: 0.9862, relative_absolute_error: 0.0276, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1173, root_relative_squared_error: 0.2349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0417, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.3838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.9354, kappa: 0.8706, kb_relative_information_score: 0.8707, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9364, predictive_accuracy: 0.9355, prior_entropy: 0.9986, recall: 0.9355, relative_absolute_error: 0.1292, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2539, root_relative_squared_error: 0.5083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7439, f_measure: 0.7364, kappa: 0.4988, kb_relative_information_score: 0.5092, mean_absolute_error: 0.2447, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8334, predictive_accuracy: 0.7553, prior_entropy: 0.9986, recall: 0.7553, relative_absolute_error: 0.4903, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.9903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5324, f_measure: 0.4239, kappa: 0.0675, kb_relative_information_score: 0.1038, mean_absolute_error: 0.4468, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.7592, predictive_accuracy: 0.5532, prior_entropy: 0.9986, recall: 0.5532, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6684, root_relative_squared_error: 1.3382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0417, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.3838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.8477, kappa: 0.6995, kb_relative_information_score: 0.7032, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8841, predictive_accuracy: 0.852, prior_entropy: 0.9986, recall: 0.852, relative_absolute_error: 0.2966, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.942, kappa: 0.8837, kb_relative_information_score: 2064.5351, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9432, predictive_accuracy: 0.9421, prior_entropy: 0.9986, recall: 0.9421, relative_absolute_error: 0.4132, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2469, root_relative_squared_error: 0.4942, scimark_benchmark: 1269.8965, usercpu_time_millis: 80.953, usercpu_time_millis_testing: 4.039, usercpu_time_millis_training: 76.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9628, kappa: 0.9254, kb_relative_information_score: 2291.6925, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9628, predictive_accuracy: 0.9628, prior_entropy: 0.9986, recall: 0.9628, relative_absolute_error: 0.3341, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.4242, scimark_benchmark: 1266.5304, usercpu_time_millis: 52.547, usercpu_time_millis_testing: 3.206, usercpu_time_millis_training: 49.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0417, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.3838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.9062, kappa: 0.812, kb_relative_information_score: 0.8117, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9062, predictive_accuracy: 0.9061, prior_entropy: 0.9986, recall: 0.9061, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3064, root_relative_squared_error: 0.6134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.97, kappa: 0.9399, kb_relative_information_score: 0.9398, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9703, predictive_accuracy: 0.97, prior_entropy: 0.9986, recall: 0.97, relative_absolute_error: 0.0602, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.9122, kappa: 0.8239, kb_relative_information_score: 0.8243, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.914, predictive_accuracy: 0.9124, prior_entropy: 0.9986, recall: 0.9124, relative_absolute_error: 0.1756, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.296, root_relative_squared_error: 0.5926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9916, kappa: 0.9831, kb_relative_information_score: 0.9831, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9916, predictive_accuracy: 0.9916, prior_entropy: 0.9986, recall: 0.9916, relative_absolute_error: 0.0169, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0919, root_relative_squared_error: 0.184,
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: 0.9681, f_measure: 0.9681, kappa: 0.9361, kb_relative_information_score: 0.936, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9681, predictive_accuracy: 0.9681, prior_entropy: 0.9986, recall: 0.9681, relative_absolute_error: 0.064, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.3576,
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: 0.9371, 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: 0.9835, 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: 0.9708, f_measure: 0.9706, kappa: 0.9411, kb_relative_information_score: 0.941, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9707, predictive_accuracy: 0.9706, prior_entropy: 0.9986, recall: 0.9706, relative_absolute_error: 0.0589, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.3433,

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