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: 0.4994, f_measure: 0.3583, kb_relative_information_score: 0.0206, 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: 1267.953, usercpu_time_millis: 27.39, usercpu_time_millis_testing: 2.628, usercpu_time_millis_training: 24.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9959, kappa: 0.9918, kb_relative_information_score: 3147.7402, mean_absolute_error: 0.0085, 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: 0.017, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0573, root_relative_squared_error: 0.1146, scimark_benchmark: 1271.1689, usercpu_time_millis: 241.181, usercpu_time_millis_testing: 5.045, usercpu_time_millis_training: 236.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9859, kappa: 0.9718, kb_relative_information_score: 2809.458, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9859, predictive_accuracy: 0.9859, prior_entropy: 0.9986, recall: 0.9859, relative_absolute_error: 0.1456, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1301, root_relative_squared_error: 0.2604, scimark_benchmark: 1265.7191, usercpu_time_millis: 34.419, usercpu_time_millis_testing: 2.905, usercpu_time_millis_training: 31.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9944, kappa: 0.9887, kb_relative_information_score: 3066.1974, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 0.9986, recall: 0.9944, relative_absolute_error: 0.049, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.1544, scimark_benchmark: 1263.38, usercpu_time_millis: 115.353, usercpu_time_millis_testing: 6.234, usercpu_time_millis_training: 109.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9609, kappa: 0.9217, kb_relative_information_score: 2777.4165, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9613, predictive_accuracy: 0.9609, prior_entropy: 0.9986, recall: 0.9609, relative_absolute_error: 0.1418, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.3488, scimark_benchmark: 1271.9194, usercpu_time_millis: 65.389, usercpu_time_millis_testing: 3.159, usercpu_time_millis_training: 62.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9621, kappa: 0.924, kb_relative_information_score: 1379.2574, mean_absolute_error: 0.3181, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9631, predictive_accuracy: 0.9621, prior_entropy: 0.9986, recall: 0.9621, relative_absolute_error: 0.6374, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6672, scimark_benchmark: 1266.4749, usercpu_time_millis: 75.19, usercpu_time_millis_testing: 7.22, usercpu_time_millis_training: 67.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9953, kappa: 0.9906, kb_relative_information_score: 3107.5064, mean_absolute_error: 0.0165, 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: 0.033, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0666, root_relative_squared_error: 0.1332, scimark_benchmark: 1233.8959, usercpu_time_millis: 143.693, usercpu_time_millis_testing: 6.46, usercpu_time_millis_training: 137.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9947, kappa: 0.9893, kb_relative_information_score: 3113.5067, mean_absolute_error: 0.0149, 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: 0.0298, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0716, root_relative_squared_error: 0.1434, scimark_benchmark: 1263.6908, usercpu_time_millis: 2.683, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 2.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9606, kappa: 0.921, kb_relative_information_score: 2303.848, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9606, predictive_accuracy: 0.9606, prior_entropy: 0.9986, recall: 0.9606, relative_absolute_error: 0.3287, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.4254, scimark_benchmark: 1249.1668, usercpu_time_millis: 8.968, usercpu_time_millis_testing: 0.539, usercpu_time_millis_training: 8.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9417, kappa: 0.8831, kb_relative_information_score: 2213.8035, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.943, predictive_accuracy: 0.9418, prior_entropy: 0.9986, recall: 0.9418, relative_absolute_error: 0.3594, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.4575, scimark_benchmark: 1254.3838, usercpu_time_millis: 40.414, usercpu_time_millis_testing: 2.51, usercpu_time_millis_training: 37.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3583, kb_relative_information_score: -0.0125, 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: 1241.7523, usercpu_time_millis: 15.43, usercpu_time_millis_testing: 2.734, usercpu_time_millis_training: 12.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9693, kappa: 0.9386, kb_relative_information_score: 2904.5443, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9694, predictive_accuracy: 0.9693, prior_entropy: 0.9986, recall: 0.9693, relative_absolute_error: 0.1006, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.139, root_relative_squared_error: 0.2783, scimark_benchmark: 1269.6239, usercpu_time_millis: 28.841, usercpu_time_millis_testing: 1.097, usercpu_time_millis_training: 27.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9035, kappa: 0.807, kb_relative_information_score: 2196.0238, mean_absolute_error: 0.1741, 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: 0.3488, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.5455, scimark_benchmark: 1246.209, usercpu_time_millis: 112.986, usercpu_time_millis_testing: 3.73, usercpu_time_millis_training: 109.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9825, kappa: 0.9649, kb_relative_information_score: 2934.2823, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9825, predictive_accuracy: 0.9825, prior_entropy: 0.9986, recall: 0.9825, relative_absolute_error: 0.0933, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.2484, scimark_benchmark: 1244.3969, usercpu_time_millis: 35.129, usercpu_time_millis_testing: 2.082, usercpu_time_millis_training: 33.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.969, kappa: 0.9379, kb_relative_information_score: 2847.5624, mean_absolute_error: 0.0619, 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: 0.124, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.2853, scimark_benchmark: 1266.9023, usercpu_time_millis: 89.889, usercpu_time_millis_testing: 3.788, usercpu_time_millis_training: 86.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9417, kappa: 0.8831, kb_relative_information_score: 2232.9667, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.943, predictive_accuracy: 0.9418, prior_entropy: 0.9986, recall: 0.9418, relative_absolute_error: 0.352, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.4562, scimark_benchmark: 1244.2071, usercpu_time_millis: 99.625, usercpu_time_millis_testing: 5.149, usercpu_time_millis_training: 94.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9778, kappa: 0.9555, kb_relative_information_score: 2943.7966, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9778, predictive_accuracy: 0.9778, prior_entropy: 0.9986, recall: 0.9778, relative_absolute_error: 0.087, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1304, root_relative_squared_error: 0.2611, scimark_benchmark: 1245.9726, usercpu_time_millis: 1.774, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 1.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9953, kappa: 0.9906, kb_relative_information_score: 3130.0077, mean_absolute_error: 0.0117, 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: 0.0234, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0661, root_relative_squared_error: 0.1324, scimark_benchmark: 1242.7932, usercpu_time_millis: 206.275, usercpu_time_millis_testing: 5.919, usercpu_time_millis_training: 200.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9389, kappa: 0.8775, kb_relative_information_score: 954.9728, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9397, predictive_accuracy: 0.939, prior_entropy: 0.9986, recall: 0.939, relative_absolute_error: 0.7615, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.388, root_relative_squared_error: 0.7769, scimark_benchmark: 1268.1361, usercpu_time_millis: 26.752, usercpu_time_millis_testing: 2.211, usercpu_time_millis_training: 24.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.984, kappa: 0.968, kb_relative_information_score: 0.968, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9841, predictive_accuracy: 0.984, prior_entropy: 0.9986, recall: 0.984, relative_absolute_error: 0.032, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1263, root_relative_squared_error: 0.2529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.9593, kappa: 0.9184, kb_relative_information_score: 0.9184, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9594, predictive_accuracy: 0.9593, prior_entropy: 0.9986, recall: 0.9593, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.4038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, 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: 0.9371, 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: 0.5, 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: 0.9496, f_measure: 0.9502, kappa: 0.9002, kb_relative_information_score: 0.9002, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9505, predictive_accuracy: 0.9503, prior_entropy: 0.9986, recall: 0.9503, relative_absolute_error: 0.0997, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.223, root_relative_squared_error: 0.4465,
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: 0.968, f_measure: 0.9675, kappa: 0.9349, kb_relative_information_score: 0.9347, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9678, predictive_accuracy: 0.9675, prior_entropy: 0.9986, recall: 0.9675, relative_absolute_error: 0.0652, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.3611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9959, kappa: 0.9918, kb_relative_information_score: 0.9918, mean_absolute_error: 0.0041, 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: 0.0082, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0638, root_relative_squared_error: 0.1277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.97, kappa: 0.9398, kb_relative_information_score: 0.9398, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9701, 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: 0.5, 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: 0.9804, f_measure: 0.98, kappa: 0.9599, kb_relative_information_score: 0.9598, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9802, predictive_accuracy: 0.98, prior_entropy: 0.9986, recall: 0.98, relative_absolute_error: 0.0401, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.2833,
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: 0.9672, f_measure: 0.9671, kappa: 0.9342, kb_relative_information_score: 0.9341, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9672, predictive_accuracy: 0.9671, prior_entropy: 0.9986, recall: 0.9671, relative_absolute_error: 0.0658, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.3629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.9149, kappa: 0.8294, kb_relative_information_score: 0.8293, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9149, 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: 0.5001, f_measure: 0.3583, kb_relative_information_score: 0.02, 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: 1265.1148, usercpu_time_millis: 5.973, usercpu_time_millis_testing: 0.594, usercpu_time_millis_training: 5.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2361.5893, mean_absolute_error: 0.151, 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: 0.3025, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.4406, scimark_benchmark: 1236.8643, usercpu_time_millis: 71.481, usercpu_time_millis_testing: 3.914, usercpu_time_millis_training: 67.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9928, kappa: 0.9856, kb_relative_information_score: 3062.8417, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 0.9986, recall: 0.9928, relative_absolute_error: 0.0487, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.1726, scimark_benchmark: 1235.3594, usercpu_time_millis: 85.009, usercpu_time_millis_testing: 3.715, usercpu_time_millis_training: 81.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3583, kb_relative_information_score: -0.0825, 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: 1261.0689, usercpu_time_millis: 1.042, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 0.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.995, kappa: 0.99, kb_relative_information_score: 3067.0972, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.9986, recall: 0.995, relative_absolute_error: 0.0488, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0768, root_relative_squared_error: 0.1538, scimark_benchmark: 1266.462, usercpu_time_millis: 79.61, usercpu_time_millis_testing: 3.8, usercpu_time_millis_training: 75.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9847, kappa: 0.9693, kb_relative_information_score: 2901.2314, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9986, recall: 0.9847, relative_absolute_error: 0.1077, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1239, root_relative_squared_error: 0.248, scimark_benchmark: 1271.4249, usercpu_time_millis: 21.772, usercpu_time_millis_testing: 0.997, usercpu_time_millis_training: 20.775,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9953, kappa: 0.9906, kb_relative_information_score: 3097.2362, mean_absolute_error: 0.0181, 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: 0.0362, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0747, root_relative_squared_error: 0.1496, scimark_benchmark: 1245.0718, usercpu_time_millis: 59.974, usercpu_time_millis_testing: 2.752, usercpu_time_millis_training: 57.222,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9931, kappa: 0.9862, kb_relative_information_score: 3057.3445, mean_absolute_error: 0.0254, 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: 0.0509, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.1744, scimark_benchmark: 1263.4657, usercpu_time_millis: 40.659, usercpu_time_millis_testing: 1.945, usercpu_time_millis_training: 38.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9562, kappa: 0.9121, kb_relative_information_score: 2394.4942, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9564, predictive_accuracy: 0.9562, prior_entropy: 0.9986, recall: 0.9562, relative_absolute_error: 0.2944, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4066, scimark_benchmark: 1253.6631, usercpu_time_millis: 39.293, usercpu_time_millis_testing: 3.414, usercpu_time_millis_training: 35.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9599, kappa: 0.9196, kb_relative_information_score: 1317.7815, mean_absolute_error: 0.3272, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9611, predictive_accuracy: 0.96, prior_entropy: 0.9986, recall: 0.96, relative_absolute_error: 0.6557, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.6835, scimark_benchmark: 1268.7226, usercpu_time_millis: 60.479, usercpu_time_millis_testing: 5.611, usercpu_time_millis_training: 54.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.9011, kappa: 0.802, kb_relative_information_score: 689.0136, mean_absolute_error: 0.4114, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9075, predictive_accuracy: 0.9018, prior_entropy: 0.9986, recall: 0.9018, relative_absolute_error: 0.8243, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8474, scimark_benchmark: 1246.8931, usercpu_time_millis: 4.095, usercpu_time_millis_testing: 0.281, usercpu_time_millis_training: 3.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3583, kb_relative_information_score: -0.0639, 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: 1266.925, usercpu_time_millis: 1.857, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 1.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9937, kappa: 0.9875, kb_relative_information_score: 3042.0806, mean_absolute_error: 0.0289, 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: 0.058, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.085, root_relative_squared_error: 0.1701, scimark_benchmark: 1256.3701, usercpu_time_millis: 91.187, usercpu_time_millis_testing: 5.022, usercpu_time_millis_training: 86.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9956, kappa: 0.9912, kb_relative_information_score: 3128.1857, mean_absolute_error: 0.0122, 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: 0.0244, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0638, root_relative_squared_error: 0.1277, scimark_benchmark: 1262.4575, usercpu_time_millis: 72.576, usercpu_time_millis_testing: 2.102, usercpu_time_millis_training: 70.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.8979, kappa: 0.7957, kb_relative_information_score: 546.0363, mean_absolute_error: 0.4342, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9045, predictive_accuracy: 0.8986, prior_entropy: 0.9986, recall: 0.8986, relative_absolute_error: 0.87, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8761, scimark_benchmark: 1263.6397, usercpu_time_millis: 12.488, usercpu_time_millis_testing: 1.311, usercpu_time_millis_training: 11.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2303.2292, mean_absolute_error: 0.162, 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: 0.3247, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.4515, scimark_benchmark: 1224.6533, usercpu_time_millis: 5.547, usercpu_time_millis_testing: 0.302, usercpu_time_millis_training: 5.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, 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: 0.9707, 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: 0.9727, f_measure: 0.9722, kappa: 0.9443, kb_relative_information_score: 0.9441, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9725, predictive_accuracy: 0.9722, prior_entropy: 0.9986, recall: 0.9722, relative_absolute_error: 0.0558, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.3341,
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: 0.9847, 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: 0.9972, 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: 0.9928, f_measure: 0.9928, kappa: 0.9856, kb_relative_information_score: 0.9856, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 0.9986, recall: 0.9928, relative_absolute_error: 0.0144, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.1698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.9429, kappa: 0.8856, kb_relative_information_score: 0.8858, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9442, predictive_accuracy: 0.9431, prior_entropy: 0.9986, recall: 0.9431, relative_absolute_error: 0.1141, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.4777,
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: 0.9871, 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: 0.9937, 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: 0.7835, f_measure: 0.7834, kappa: 0.5759, kb_relative_information_score: 0.582, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8292, predictive_accuracy: 0.7916, prior_entropy: 0.9986, recall: 0.7916, relative_absolute_error: 0.4176, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4565, root_relative_squared_error: 0.9139,
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,

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