OpenML
Supervised Classification on kr-vs-kp

Supervised Classification on kr-vs-kp

Task 145953 Supervised Classification kr-vs-kp 96152 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.3583, kb_relative_information_score: -0.0145, 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: 1372.173, usercpu_time_millis: 3.704, usercpu_time_millis_testing: 0.499, usercpu_time_millis_training: 3.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.8108, kappa: 0.6265, kb_relative_information_score: 326.7617, mean_absolute_error: 0.4614, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8431, predictive_accuracy: 0.816, prior_entropy: 0.9986, recall: 0.816, relative_absolute_error: 0.9246, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9271, scimark_benchmark: 1376.8128, usercpu_time_millis: 2.904, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 2.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.969, kappa: 0.9379, kb_relative_information_score: 2885.9559, mean_absolute_error: 0.0543, 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: 0.1089, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1381, root_relative_squared_error: 0.2766, scimark_benchmark: 1376.1347, usercpu_time_millis: 11.787, usercpu_time_millis_testing: 0.682, usercpu_time_millis_training: 11.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2497.1115, mean_absolute_error: 0.1242, 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: 0.2489, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.212, root_relative_squared_error: 0.4244, scimark_benchmark: 1376.3622, usercpu_time_millis: 1.446, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 1.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.975, kappa: 0.9498, kb_relative_information_score: 2219.5283, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 0.9986, recall: 0.975, relative_absolute_error: 0.3641, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.4308, scimark_benchmark: 1358.5829, usercpu_time_millis: 1.09, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 0.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9455, kappa: 0.8907, kb_relative_information_score: 2516.6074, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9463, predictive_accuracy: 0.9456, prior_entropy: 0.9986, recall: 0.9456, relative_absolute_error: 0.2451, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.3929, scimark_benchmark: 1364.2186, usercpu_time_millis: 21.786, usercpu_time_millis_testing: 1.433, usercpu_time_millis_training: 20.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9543, kappa: 0.9086, kb_relative_information_score: 2738.4191, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9548, predictive_accuracy: 0.9543, prior_entropy: 0.9986, recall: 0.9543, relative_absolute_error: 0.1512, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.3837, scimark_benchmark: 1363.4161, usercpu_time_millis: 23.767, usercpu_time_millis_testing: 0.868, usercpu_time_millis_training: 22.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.975, kappa: 0.9498, kb_relative_information_score: 2959.596, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9752, predictive_accuracy: 0.975, prior_entropy: 0.9986, recall: 0.975, relative_absolute_error: 0.0797, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1325, root_relative_squared_error: 0.2653, scimark_benchmark: 1360.3186, usercpu_time_millis: 6.677, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 6.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.989, kappa: 0.9781, kb_relative_information_score: 2893.4076, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.989, predictive_accuracy: 0.989, prior_entropy: 0.9986, recall: 0.989, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1107, root_relative_squared_error: 0.2216, scimark_benchmark: 1369.0172, usercpu_time_millis: 24.72, usercpu_time_millis_testing: 1.974, usercpu_time_millis_training: 22.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9941, kappa: 0.9881, kb_relative_information_score: 3080.2746, mean_absolute_error: 0.021, 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: 0.0421, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.081, root_relative_squared_error: 0.1621, scimark_benchmark: 1368.8538, usercpu_time_millis: 20.973, usercpu_time_millis_testing: 1.396, usercpu_time_millis_training: 19.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9781, kappa: 0.9561, kb_relative_information_score: 2920.5137, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9782, predictive_accuracy: 0.9781, prior_entropy: 0.9986, recall: 0.9781, relative_absolute_error: 0.0977, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.2573, scimark_benchmark: 1366.0095, usercpu_time_millis: 0.868, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 0.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9678, kappa: 0.9355, kb_relative_information_score: 2676.7729, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9679, predictive_accuracy: 0.9678, prior_entropy: 0.9986, recall: 0.9678, relative_absolute_error: 0.1828, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3613, scimark_benchmark: 1369.4781, usercpu_time_millis: 19.152, usercpu_time_millis_testing: 1.152, usercpu_time_millis_training: 18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9681, kappa: 0.9361, kb_relative_information_score: 2432.7092, mean_absolute_error: 0.1408, 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: 0.2821, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.3895, scimark_benchmark: 1365.5063, usercpu_time_millis: 21.294, usercpu_time_millis_testing: 1.504, usercpu_time_millis_training: 19.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9959, kappa: 0.9918, kb_relative_information_score: 3093.4501, mean_absolute_error: 0.0189, 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: 0.0379, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0756, root_relative_squared_error: 0.1514, scimark_benchmark: 1373.2534, usercpu_time_millis: 2.084, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 1.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2540.7279, mean_absolute_error: 0.1156, 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: 0.2317, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.4175, scimark_benchmark: 1373.4467, usercpu_time_millis: 13.524, usercpu_time_millis_testing: 0.633, usercpu_time_millis_training: 12.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9941, kappa: 0.9881, kb_relative_information_score: 3004.8121, mean_absolute_error: 0.0365, 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: 0.0732, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.178, scimark_benchmark: 1369.1766, usercpu_time_millis: 8.156, usercpu_time_millis_testing: 0.587, usercpu_time_millis_training: 7.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9427, kappa: 0.885, kb_relative_information_score: 1326.0467, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9434, predictive_accuracy: 0.9427, prior_entropy: 0.9986, recall: 0.9427, relative_absolute_error: 0.6538, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.6816, scimark_benchmark: 1359.4735, usercpu_time_millis: 2.317, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 2.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9737, kappa: 0.9473, kb_relative_information_score: 2011.974, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.974, predictive_accuracy: 0.9737, prior_entropy: 0.9986, recall: 0.9737, relative_absolute_error: 0.4363, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.4898, scimark_benchmark: 1378.7662, usercpu_time_millis: 8.226, usercpu_time_millis_testing: 0.876, usercpu_time_millis_training: 7.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9464, kappa: 0.8925, kb_relative_information_score: 1170.7466, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9479, predictive_accuracy: 0.9465, prior_entropy: 0.9986, recall: 0.9465, relative_absolute_error: 0.6994, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.7217, scimark_benchmark: 1377.522, usercpu_time_millis: 6.382, usercpu_time_millis_testing: 0.642, usercpu_time_millis_training: 5.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.995, kappa: 0.99, kb_relative_information_score: 3074.4195, mean_absolute_error: 0.0226, 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: 0.0453, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.1572, scimark_benchmark: 1361.5968, usercpu_time_millis: 21.151, usercpu_time_millis_testing: 1.48, usercpu_time_millis_training: 19.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9931, kappa: 0.9862, kb_relative_information_score: 3089.2724, mean_absolute_error: 0.0192, 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: 0.0384, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.1647, scimark_benchmark: 1343.1827, usercpu_time_millis: 22.139, usercpu_time_millis_testing: 0.957, usercpu_time_millis_training: 21.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9375, kappa: 0.8748, kb_relative_information_score: 930.3617, mean_absolute_error: 0.3829, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9401, predictive_accuracy: 0.9377, prior_entropy: 0.9986, recall: 0.9377, relative_absolute_error: 0.7673, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3911, root_relative_squared_error: 0.7829, scimark_benchmark: 1360.2873, usercpu_time_millis: 7.348, usercpu_time_millis_testing: 0.816, usercpu_time_millis_training: 6.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9341, kappa: 0.8679, kb_relative_information_score: 844.1562, mean_absolute_error: 0.395, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.936, predictive_accuracy: 0.9343, prior_entropy: 0.9986, recall: 0.9343, relative_absolute_error: 0.7915, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.804, scimark_benchmark: 1366.4106, usercpu_time_millis: 9.316, usercpu_time_millis_testing: 1.147, usercpu_time_millis_training: 8.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9925, kappa: 0.985, kb_relative_information_score: 3021.9936, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 0.9986, recall: 0.9925, relative_absolute_error: 0.0656, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.09, root_relative_squared_error: 0.1801, scimark_benchmark: 1371.895, usercpu_time_millis: 16.725, usercpu_time_millis_testing: 1.114, usercpu_time_millis_training: 15.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9959, kappa: 0.9918, kb_relative_information_score: 3125.1674, mean_absolute_error: 0.0128, 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: 0.0257, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0644, root_relative_squared_error: 0.129, scimark_benchmark: 1368.015, usercpu_time_millis: 33.361, usercpu_time_millis_testing: 1.482, usercpu_time_millis_training: 31.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9944, kappa: 0.9887, kb_relative_information_score: 3071.2863, mean_absolute_error: 0.0231, 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: 0.0462, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.1614, scimark_benchmark: 1362.7603, usercpu_time_millis: 22.161, usercpu_time_millis_testing: 1.577, usercpu_time_millis_training: 20.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9834, kappa: 0.9668, kb_relative_information_score: 2960.7939, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9835, predictive_accuracy: 0.9834, prior_entropy: 0.9986, recall: 0.9834, relative_absolute_error: 0.0823, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1227, root_relative_squared_error: 0.2456, scimark_benchmark: 1367.2263, usercpu_time_millis: 4.125, usercpu_time_millis_testing: 0.232, usercpu_time_millis_training: 3.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.3583, kb_relative_information_score: -0.0781, 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: 1375.6731, usercpu_time_millis: 1.109, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 0.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.8895, kappa: 0.7794, kb_relative_information_score: 569.7855, mean_absolute_error: 0.4311, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.903, predictive_accuracy: 0.8908, prior_entropy: 0.9986, recall: 0.8908, relative_absolute_error: 0.8639, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4348, root_relative_squared_error: 0.8705, scimark_benchmark: 1364.8648, usercpu_time_millis: 8.774, usercpu_time_millis_testing: 1.126, usercpu_time_millis_training: 7.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2293.1255, mean_absolute_error: 0.1646, 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: 0.3298, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.236, root_relative_squared_error: 0.4724, scimark_benchmark: 1373.5982, usercpu_time_millis: 7.368, usercpu_time_millis_testing: 0.517, usercpu_time_millis_training: 6.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9941, kappa: 0.9881, kb_relative_information_score: 3043.898, mean_absolute_error: 0.0285, 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: 0.0572, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.1687, scimark_benchmark: 1365.9905, usercpu_time_millis: 31.184, usercpu_time_millis_testing: 2.001, usercpu_time_millis_training: 29.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9944, kappa: 0.9887, kb_relative_information_score: 3113.6094, mean_absolute_error: 0.015, 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: 0.0301, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0675, root_relative_squared_error: 0.1351, scimark_benchmark: 1372.2457, usercpu_time_millis: 3.316, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 3.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9543, kappa: 0.9085, kb_relative_information_score: 2733.6255, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9543, predictive_accuracy: 0.9543, prior_entropy: 0.9986, recall: 0.9543, relative_absolute_error: 0.1564, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.368, scimark_benchmark: 1374.6062, usercpu_time_millis: 4.4, usercpu_time_millis_testing: 0.225, usercpu_time_millis_training: 4.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.6233, kappa: 0.3396, kb_relative_information_score: 711.4232, mean_absolute_error: 0.3987, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8015, predictive_accuracy: 0.6605, prior_entropy: 0.9986, recall: 0.6605, relative_absolute_error: 0.799, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.8606, scimark_benchmark: 1372.8877, usercpu_time_millis: 5.008, usercpu_time_millis_testing: 0.596, usercpu_time_millis_training: 4.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2529.581, mean_absolute_error: 0.1178, 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: 0.2361, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4184, scimark_benchmark: 1370.7468, usercpu_time_millis: 14.629, usercpu_time_millis_testing: 1.127, usercpu_time_millis_training: 13.502,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.995, kappa: 0.99, kb_relative_information_score: 3084.6742, mean_absolute_error: 0.0208, 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: 0.0417, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.15, scimark_benchmark: 1370.3756, usercpu_time_millis: 10.817, usercpu_time_millis_testing: 0.507, usercpu_time_millis_training: 10.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3583, kb_relative_information_score: -0.0508, 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: 1373.4532, usercpu_time_millis: 4.606, usercpu_time_millis_testing: 0.533, usercpu_time_millis_training: 4.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.3583, kb_relative_information_score: -0.0912, 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: 1372.5368, usercpu_time_millis: 1.826, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 1.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9411, kappa: 0.8818, kb_relative_information_score: 1761.0823, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9424, predictive_accuracy: 0.9412, prior_entropy: 0.9986, recall: 0.9412, relative_absolute_error: 0.517, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.574, scimark_benchmark: 1370.6224, usercpu_time_millis: 8.971, usercpu_time_millis_testing: 0.96, usercpu_time_millis_training: 8.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3583, kb_relative_information_score: -0.0434, 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: 1374.4343, usercpu_time_millis: 3.807, usercpu_time_millis_testing: 0.354, usercpu_time_millis_training: 3.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9417, kappa: 0.8831, kb_relative_information_score: 2635.9048, mean_absolute_error: 0.0976, 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: 0.1957, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.3828, scimark_benchmark: 1369.6988, usercpu_time_millis: 5.283, usercpu_time_millis_testing: 0.443, usercpu_time_millis_training: 4.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9678, kappa: 0.9354, kb_relative_information_score: 2910.6426, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9678, predictive_accuracy: 0.9678, prior_entropy: 0.9986, recall: 0.9678, relative_absolute_error: 0.0961, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.2987, scimark_benchmark: 1367.6829, usercpu_time_millis: 32.098, usercpu_time_millis_testing: 1.289, usercpu_time_millis_training: 30.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9035, kappa: 0.807, kb_relative_information_score: 2232.8757, mean_absolute_error: 0.1657, 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: 0.3321, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.5529, scimark_benchmark: 1344.4851, usercpu_time_millis: 6.218, usercpu_time_millis_testing: 0.411, usercpu_time_millis_training: 5.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9411, kappa: 0.8818, kb_relative_information_score: 1799.73, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9424, predictive_accuracy: 0.9412, prior_entropy: 0.9986, recall: 0.9412, relative_absolute_error: 0.5044, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2806, root_relative_squared_error: 0.5618, scimark_benchmark: 1371.9528, usercpu_time_millis: 4.174, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 3.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.93, kappa: 0.8598, kb_relative_information_score: 1162.1697, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.932, predictive_accuracy: 0.9302, prior_entropy: 0.9986, recall: 0.9302, relative_absolute_error: 0.6984, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.7271, scimark_benchmark: 1373.1488, usercpu_time_millis: 0.515, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 0.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.995, kappa: 0.99, kb_relative_information_score: 3093.3276, mean_absolute_error: 0.0189, 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: 0.0379, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.152, scimark_benchmark: 1365.2, usercpu_time_millis: 22.398, usercpu_time_millis_testing: 1.268, usercpu_time_millis_training: 21.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9956, kappa: 0.9912, kb_relative_information_score: 3099.3192, mean_absolute_error: 0.0178, 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: 0.0356, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0747, root_relative_squared_error: 0.1496, scimark_benchmark: 1367.6785, usercpu_time_millis: 22.911, usercpu_time_millis_testing: 0.973, usercpu_time_millis_training: 21.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3583, kb_relative_information_score: -0.0814, 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: 1370.3754, usercpu_time_millis: 2.626, usercpu_time_millis_testing: 0.441, usercpu_time_millis_training: 2.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3583, kb_relative_information_score: -0.0355, 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: 1376.8226, usercpu_time_millis: 3.36, usercpu_time_millis_testing: 0.336, usercpu_time_millis_training: 3.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.8121, kappa: 0.632, kb_relative_information_score: 317.9128, mean_absolute_error: 0.4625, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8601, predictive_accuracy: 0.8191, prior_entropy: 0.9986, recall: 0.8191, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4641, root_relative_squared_error: 0.9292, scimark_benchmark: 1376.757, usercpu_time_millis: 3.21, usercpu_time_millis_testing: 0.501, usercpu_time_millis_training: 2.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.985, kappa: 0.9699, kb_relative_information_score: 3033.2702, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.985, predictive_accuracy: 0.985, prior_entropy: 0.9986, recall: 0.985, relative_absolute_error: 0.0572, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1028, root_relative_squared_error: 0.2057, scimark_benchmark: 1364.4078, usercpu_time_millis: 7.665, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 7.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9404, kappa: 0.8806, kb_relative_information_score: 1409.7513, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9419, predictive_accuracy: 0.9406, prior_entropy: 0.9986, recall: 0.9406, relative_absolute_error: 0.6291, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.6643, scimark_benchmark: 1368.2451, usercpu_time_millis: 2.531, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 2.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9941, kappa: 0.9881, kb_relative_information_score: 3039.3281, mean_absolute_error: 0.0291, 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: 0.0583, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.1777, scimark_benchmark: 1376.5422, usercpu_time_millis: 23.864, usercpu_time_millis_testing: 1.738, usercpu_time_millis_training: 22.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9461, kappa: 0.892, kb_relative_information_score: 2514.7908, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9469, predictive_accuracy: 0.9462, prior_entropy: 0.9986, recall: 0.9462, relative_absolute_error: 0.2459, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.196, root_relative_squared_error: 0.3924, scimark_benchmark: 1374.507, usercpu_time_millis: 23.101, usercpu_time_millis_testing: 1.26, usercpu_time_millis_training: 21.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9972, kappa: 0.9944, kb_relative_information_score: 3165.5072, mean_absolute_error: 0.0052, 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: 0.0104, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0517, root_relative_squared_error: 0.1034, scimark_benchmark: 1376.9823, usercpu_time_millis: 20.609, usercpu_time_millis_testing: 0.734, usercpu_time_millis_training: 19.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2409.5882, mean_absolute_error: 0.1417, 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: 0.2841, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.4317, scimark_benchmark: 1375.7077, usercpu_time_millis: 11.864, usercpu_time_millis_testing: 0.68, usercpu_time_millis_training: 11.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.97, kappa: 0.9398, kb_relative_information_score: 2781.8391, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.97, predictive_accuracy: 0.97, prior_entropy: 0.9986, recall: 0.97, relative_absolute_error: 0.149, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.153, root_relative_squared_error: 0.3063, scimark_benchmark: 1376.133, usercpu_time_millis: 11.735, usercpu_time_millis_testing: 0.762, usercpu_time_millis_training: 10.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3583, kb_relative_information_score: -0.0295, 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: 1375.523, usercpu_time_millis: 4.99, usercpu_time_millis_testing: 0.6, usercpu_time_millis_training: 4.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, 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: 1375.1623, usercpu_time_millis: 3.688, usercpu_time_millis_testing: 0.484, usercpu_time_millis_training: 3.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3583, kb_relative_information_score: 0.0253, 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: 1374.7055, usercpu_time_millis: 2.196, usercpu_time_millis_testing: 0.324, usercpu_time_millis_training: 1.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9865, kappa: 0.973, kb_relative_information_score: 2874.8284, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9865, predictive_accuracy: 0.9865, prior_entropy: 0.9986, recall: 0.9865, relative_absolute_error: 0.1201, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1216, root_relative_squared_error: 0.2434, scimark_benchmark: 1962.2939, usercpu_time_millis: 4.986, usercpu_time_millis_testing: 0.443, usercpu_time_millis_training: 4.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9624, kappa: 0.9246, kb_relative_information_score: 1372.5691, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9636, predictive_accuracy: 0.9625, prior_entropy: 0.9986, recall: 0.9625, relative_absolute_error: 0.6393, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.6691, scimark_benchmark: 1963.5581, usercpu_time_millis: 10.134, usercpu_time_millis_testing: 0.939, usercpu_time_millis_training: 9.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9605, kappa: 0.9209, kb_relative_information_score: 1783.2185, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9608, predictive_accuracy: 0.9606, prior_entropy: 0.9986, recall: 0.9606, relative_absolute_error: 0.5105, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2785, root_relative_squared_error: 0.5576, scimark_benchmark: 1973.1441, usercpu_time_millis: 4.309, usercpu_time_millis_testing: 0.382, usercpu_time_millis_training: 3.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9859, kappa: 0.9718, kb_relative_information_score: 3046.462, mean_absolute_error: 0.0261, 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: 0.0523, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1005, root_relative_squared_error: 0.2013, scimark_benchmark: 1953.1363, usercpu_time_millis: 29.145, usercpu_time_millis_testing: 1.214, usercpu_time_millis_training: 27.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.87, kappa: 0.7407, kb_relative_information_score: 503.9587, mean_absolute_error: 0.4394, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.885, predictive_accuracy: 0.8717, prior_entropy: 0.9986, recall: 0.8717, relative_absolute_error: 0.8806, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4426, root_relative_squared_error: 0.8861, scimark_benchmark: 1953.1529, usercpu_time_millis: 2.54, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 2.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9797, kappa: 0.9592, kb_relative_information_score: 2768.0782, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9797, predictive_accuracy: 0.9797, prior_entropy: 0.9986, recall: 0.9797, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.2834, scimark_benchmark: 1927.1512, usercpu_time_millis: 6.324, usercpu_time_millis_testing: 0.499, usercpu_time_millis_training: 5.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9962, kappa: 0.9925, kb_relative_information_score: 3146.1539, mean_absolute_error: 0.0088, 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: 0.0176, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0595, root_relative_squared_error: 0.119, scimark_benchmark: 1940.7945, usercpu_time_millis: 6.887, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 6.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2068.0366, mean_absolute_error: 0.2049, 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: 0.4107, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2517, root_relative_squared_error: 0.5038, scimark_benchmark: 1937.7522, usercpu_time_millis: 0.655, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.565,

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