OpenML
Supervised Classification on wilt

Supervised Classification on wilt

Task 9889 Supervised Classification wilt 59008 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: 4.6118, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1773.0009, usercpu_time_millis: 3.535, usercpu_time_millis_testing: 0.716, usercpu_time_millis_training: 2.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9537, kappa: 0.4656, kb_relative_information_score: 961.5628, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9633, predictive_accuracy: 0.9628, prior_entropy: 0.3037, recall: 0.9628, relative_absolute_error: 0.6466, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.163, root_relative_squared_error: 0.7216, scimark_benchmark: 1781.7569, usercpu_time_millis: 9.375, usercpu_time_millis_testing: 1.168, usercpu_time_millis_training: 8.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9813, kappa: 0.8078, kb_relative_information_score: 2620.8505, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9815, predictive_accuracy: 0.9822, prior_entropy: 0.3037, recall: 0.9822, relative_absolute_error: 0.3316, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1173, root_relative_squared_error: 0.5193, scimark_benchmark: 2018.949, usercpu_time_millis: 2.588, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 2.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9835, kappa: 0.8343, kb_relative_information_score: 3027.8995, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9833, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2675, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.4817, scimark_benchmark: 1738.5695, usercpu_time_millis: 37.794, usercpu_time_millis_testing: 2.15, usercpu_time_millis_training: 35.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9837, kappa: 0.838, kb_relative_information_score: 2886.6554, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9835, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2654, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1111, root_relative_squared_error: 0.4916, scimark_benchmark: 1775.3496, usercpu_time_millis: 8.211, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 7.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9693, kappa: 0.674, kb_relative_information_score: 1625.9045, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9698, predictive_accuracy: 0.9719, prior_entropy: 0.3037, recall: 0.9719, relative_absolute_error: 0.4979, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.6308, scimark_benchmark: 1820.0077, usercpu_time_millis: 3.78, usercpu_time_millis_testing: 0.347, usercpu_time_millis_training: 3.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.9198, kb_relative_information_score: -5029.5391, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9455, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.97, scimark_benchmark: 1882.9715, usercpu_time_millis: 24.508, usercpu_time_millis_testing: 1.137, usercpu_time_millis_training: 23.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9564, kappa: 0.5035, kb_relative_information_score: 841.0698, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9637, predictive_accuracy: 0.9642, prior_entropy: 0.3037, recall: 0.9642, relative_absolute_error: 0.6585, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.7413, scimark_benchmark: 1983.1058, usercpu_time_millis: 7.729, usercpu_time_millis_testing: 0.684, usercpu_time_millis_training: 7.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.9198, kb_relative_information_score: -1166.1226, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9726, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.9763, scimark_benchmark: 1734.4265, usercpu_time_millis: 10.67, usercpu_time_millis_testing: 1.143, usercpu_time_millis_training: 9.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.9198, kb_relative_information_score: -826.846, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9751, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.9779, scimark_benchmark: 1738.5211, usercpu_time_millis: 8.179, usercpu_time_millis_testing: 0.99, usercpu_time_millis_training: 7.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.9198, kb_relative_information_score: -1451.2063, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.974, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.221, root_relative_squared_error: 0.9785, scimark_benchmark: 1741.5221, usercpu_time_millis: 3.558, usercpu_time_millis_testing: 0.489, usercpu_time_millis_training: 3.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9812, kappa: 0.8082, kb_relative_information_score: 2553.3458, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9813, predictive_accuracy: 0.982, prior_entropy: 0.3037, recall: 0.982, relative_absolute_error: 0.3333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.118, root_relative_squared_error: 0.5223, scimark_benchmark: 1739.7696, usercpu_time_millis: 28.51, usercpu_time_millis_testing: 2.088, usercpu_time_millis_training: 26.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9724, kappa: 0.7034, kb_relative_information_score: 2275.977, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9744, predictive_accuracy: 0.9752, prior_entropy: 0.3037, recall: 0.9752, relative_absolute_error: 0.4342, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.5766, scimark_benchmark: 1725.771, usercpu_time_millis: 15.713, usercpu_time_millis_testing: 1.35, usercpu_time_millis_training: 14.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9687, kappa: 0.6749, kb_relative_information_score: 1126.1091, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9683, predictive_accuracy: 0.9707, prior_entropy: 0.3037, recall: 0.9707, relative_absolute_error: 0.4941, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.6801, scimark_benchmark: 1739.8218, usercpu_time_millis: 12.822, usercpu_time_millis_testing: 0.438, usercpu_time_millis_training: 12.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9449, kappa: 0.3506, kb_relative_information_score: 388.5043, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9566, predictive_accuracy: 0.9574, prior_entropy: 0.3037, recall: 0.9574, relative_absolute_error: 0.709, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.173, root_relative_squared_error: 0.7657, scimark_benchmark: 1860.7815, usercpu_time_millis: 0.792, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 0.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.9198, kb_relative_information_score: -20.0641, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1723.1138, usercpu_time_millis: 6.514, usercpu_time_millis_testing: 0.798, usercpu_time_millis_training: 5.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9837, kappa: 0.838, kb_relative_information_score: 3047.6126, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9835, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.4806, scimark_benchmark: 1749.514, usercpu_time_millis: 4.66, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 4.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: 6.1351, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1826.1199, usercpu_time_millis: 6.321, usercpu_time_millis_testing: 1.075, usercpu_time_millis_training: 5.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9843, kappa: 0.8439, kb_relative_information_score: 3099.9352, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9842, predictive_accuracy: 0.9845, prior_entropy: 0.3037, recall: 0.9845, relative_absolute_error: 0.2424, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1077, root_relative_squared_error: 0.4769, scimark_benchmark: 1774.3708, usercpu_time_millis: 25.327, usercpu_time_millis_testing: 1.14, usercpu_time_millis_training: 24.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9748, kappa: 0.7322, kb_relative_information_score: 2178.5246, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9763, predictive_accuracy: 0.9771, prior_entropy: 0.3037, recall: 0.9771, relative_absolute_error: 0.426, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.5721, scimark_benchmark: 2012.2428, usercpu_time_millis: 2.052, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 1.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.985, kappa: 0.851, kb_relative_information_score: 3105.7698, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9848, predictive_accuracy: 0.9851, prior_entropy: 0.3037, recall: 0.9851, relative_absolute_error: 0.2339, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.4819, scimark_benchmark: 1743.5462, usercpu_time_millis: 26.6, usercpu_time_millis_testing: 1.15, usercpu_time_millis_training: 25.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9819, kappa: 0.8159, kb_relative_information_score: 2711.1167, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9819, predictive_accuracy: 0.9826, prior_entropy: 0.3037, recall: 0.9826, relative_absolute_error: 0.3129, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.5078, scimark_benchmark: 1812.3071, usercpu_time_millis: 15.924, usercpu_time_millis_testing: 1.025, usercpu_time_millis_training: 14.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.9198, kb_relative_information_score: -1048.6443, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9766, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.221, root_relative_squared_error: 0.9783, scimark_benchmark: 1737.6267, usercpu_time_millis: 0.765, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9198, kb_relative_information_score: -1296.5223, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.8503, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.8716, scimark_benchmark: 1785.7703, usercpu_time_millis: 12.495, usercpu_time_millis_testing: 1.072, usercpu_time_millis_training: 11.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9808, kappa: 0.8018, kb_relative_information_score: 2807.5244, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9811, predictive_accuracy: 0.9818, prior_entropy: 0.3037, recall: 0.9818, relative_absolute_error: 0.3221, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.5079, scimark_benchmark: 1802.568, usercpu_time_millis: 34.989, usercpu_time_millis_testing: 2.834, usercpu_time_millis_training: 32.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9832, kappa: 0.8312, kb_relative_information_score: 2879.6881, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9831, predictive_accuracy: 0.9837, prior_entropy: 0.3037, recall: 0.9837, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.112, root_relative_squared_error: 0.4957, scimark_benchmark: 1729.2812, usercpu_time_millis: 3.06, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 2.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9734, kappa: 0.7218, kb_relative_information_score: 1893.1851, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9736, predictive_accuracy: 0.9752, prior_entropy: 0.3037, recall: 0.9752, relative_absolute_error: 0.4191, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.5916, scimark_benchmark: 1779.3347, usercpu_time_millis: 8.964, usercpu_time_millis_testing: 0.571, usercpu_time_millis_training: 8.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9681, kappa: 0.6587, kb_relative_information_score: 1491.1751, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9692, predictive_accuracy: 0.9713, prior_entropy: 0.3037, recall: 0.9713, relative_absolute_error: 0.5183, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.6421, scimark_benchmark: 1723.5553, usercpu_time_millis: 23.64, usercpu_time_millis_testing: 1.934, usercpu_time_millis_training: 21.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9709, kappa: 0.7005, kb_relative_information_score: 1978.1874, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9704, predictive_accuracy: 0.9723, prior_entropy: 0.3037, recall: 0.9723, relative_absolute_error: 0.4366, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1369, root_relative_squared_error: 0.606, scimark_benchmark: 1722.6744, usercpu_time_millis: 17.628, usercpu_time_millis_testing: 1.016, usercpu_time_millis_training: 16.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9809, kappa: 0.8069, kb_relative_information_score: 2653.0661, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9808, predictive_accuracy: 0.9816, prior_entropy: 0.3037, recall: 0.9816, relative_absolute_error: 0.3051, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1165, root_relative_squared_error: 0.5156, scimark_benchmark: 1779.0387, usercpu_time_millis: 0.599, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9687, kappa: 0.6689, kb_relative_information_score: 1164.1088, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.969, predictive_accuracy: 0.9713, prior_entropy: 0.3037, recall: 0.9713, relative_absolute_error: 0.5475, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.6807, scimark_benchmark: 1741.1835, usercpu_time_millis: 7.293, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 6.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: 5.4997, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1739.6628, usercpu_time_millis: 5.861, usercpu_time_millis_testing: 0.996, usercpu_time_millis_training: 4.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9648, kappa: 0.6099, kb_relative_information_score: 1567.5908, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9693, predictive_accuracy: 0.9698, prior_entropy: 0.3037, recall: 0.9698, relative_absolute_error: 0.537, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1448, root_relative_squared_error: 0.6411, scimark_benchmark: 1737.036, usercpu_time_millis: 4.388, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 4.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.9198, kb_relative_information_score: -903.0871, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.923, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.9307, scimark_benchmark: 1772.5196, usercpu_time_millis: 11.164, usercpu_time_millis_testing: 1.185, usercpu_time_millis_training: 9.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.9198, kb_relative_information_score: -4.9436, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1809.1994, usercpu_time_millis: 2.109, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 1.811,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9696, kappa: 0.6831, kb_relative_information_score: 1292.9913, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9695, predictive_accuracy: 0.9717, prior_entropy: 0.3037, recall: 0.9717, relative_absolute_error: 0.4748, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1479, root_relative_squared_error: 0.6548, scimark_benchmark: 1873.5293, usercpu_time_millis: 28.566, usercpu_time_millis_testing: 1.329, usercpu_time_millis_training: 27.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9843, kappa: 0.8445, kb_relative_information_score: 3117.0906, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9842, predictive_accuracy: 0.9845, prior_entropy: 0.3037, recall: 0.9845, relative_absolute_error: 0.235, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.4806, scimark_benchmark: 1873.4078, usercpu_time_millis: 26.827, usercpu_time_millis_testing: 1.232, usercpu_time_millis_training: 25.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9846, kappa: 0.8474, kb_relative_information_score: 3015.3763, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9845, predictive_accuracy: 0.9847, prior_entropy: 0.3037, recall: 0.9847, relative_absolute_error: 0.2404, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.4861, scimark_benchmark: 1954.0286, usercpu_time_millis: 47.687, usercpu_time_millis_testing: 2.107, usercpu_time_millis_training: 45.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9643, kappa: 0.6027, kb_relative_information_score: 1448.0815, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9689, predictive_accuracy: 0.9694, prior_entropy: 0.3037, recall: 0.9694, relative_absolute_error: 0.5539, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.6518, scimark_benchmark: 1869.6309, usercpu_time_millis: 20.83, usercpu_time_millis_testing: 1.744, usercpu_time_millis_training: 19.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9633, kappa: 0.5895, kb_relative_information_score: 1493.2975, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9692, predictive_accuracy: 0.969, prior_entropy: 0.3037, recall: 0.969, relative_absolute_error: 0.5668, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.661, scimark_benchmark: 1870.8644, usercpu_time_millis: 16.588, usercpu_time_millis_testing: 1.829, usercpu_time_millis_training: 14.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.9406, kappa: 0.2911, kb_relative_information_score: 230.0514, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9555, predictive_accuracy: 0.9554, prior_entropy: 0.3037, recall: 0.9554, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.7723, scimark_benchmark: 1873.4078, usercpu_time_millis: 16.763, usercpu_time_millis_testing: 1.167, usercpu_time_millis_training: 15.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9837, kappa: 0.838, kb_relative_information_score: 3207.5189, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9835, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2201, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1137, root_relative_squared_error: 0.5035, scimark_benchmark: 1872.4216, usercpu_time_millis: 51.17, usercpu_time_millis_testing: 1.886, usercpu_time_millis_training: 49.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.9198, kb_relative_information_score: -942.5205, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.8744, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.891, scimark_benchmark: 1867.725, usercpu_time_millis: 7.324, usercpu_time_millis_testing: 0.577, usercpu_time_millis_training: 6.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9753, kappa: 0.7396, kb_relative_information_score: 2434.1652, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9762, predictive_accuracy: 0.9773, prior_entropy: 0.3037, recall: 0.9773, relative_absolute_error: 0.3833, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.125, root_relative_squared_error: 0.5535, scimark_benchmark: 1877.2162, usercpu_time_millis: 7.443, usercpu_time_millis_testing: 0.503, usercpu_time_millis_training: 6.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.9198, kb_relative_information_score: -1083.5132, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9708, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.22, root_relative_squared_error: 0.9739, scimark_benchmark: 1872.4881, usercpu_time_millis: 6.331, usercpu_time_millis_testing: 0.744, usercpu_time_millis_training: 5.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.9198, kb_relative_information_score: -1149.0248, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9809, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.9835, scimark_benchmark: 1872.8797, usercpu_time_millis: 5.35, usercpu_time_millis_testing: 0.627, usercpu_time_millis_training: 4.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.9198, kb_relative_information_score: -7.5293, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1876.7581, usercpu_time_millis: 5.536, usercpu_time_millis_testing: 0.707, usercpu_time_millis_training: 4.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.9198, kb_relative_information_score: -1269.5488, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.211, root_relative_squared_error: 0.9339, scimark_benchmark: 1872.4216, usercpu_time_millis: 5.895, usercpu_time_millis_testing: 0.73, usercpu_time_millis_training: 5.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.9198, kb_relative_information_score: -109.7134, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.7765, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.184, root_relative_squared_error: 0.8147, scimark_benchmark: 1872.4216, usercpu_time_millis: 4.825, usercpu_time_millis_testing: 0.487, usercpu_time_millis_training: 4.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: 5.3997, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1870.0988, usercpu_time_millis: 5.17, usercpu_time_millis_testing: 0.892, usercpu_time_millis_training: 4.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9809, kappa: 0.8054, kb_relative_information_score: 2783.4686, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9808, predictive_accuracy: 0.9816, prior_entropy: 0.3037, recall: 0.9816, relative_absolute_error: 0.3067, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1129, root_relative_squared_error: 0.4997, scimark_benchmark: 1872.8797, usercpu_time_millis: 3.03, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 2.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.9198, kb_relative_information_score: -2258.1627, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.8579, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.8838, scimark_benchmark: 1868.6447, usercpu_time_millis: 1.538, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 1.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9198, kb_relative_information_score: -1089.3111, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.8927, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.9078, scimark_benchmark: 1872.8797, usercpu_time_millis: 1.941, usercpu_time_millis_testing: 0.199, usercpu_time_millis_training: 1.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.9198, kb_relative_information_score: -69.6365, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1870.742, usercpu_time_millis: 0.857, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9837, kappa: 0.838, kb_relative_information_score: 3205.5824, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9835, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1129, root_relative_squared_error: 0.4998, scimark_benchmark: 1853.8456, usercpu_time_millis: 62.81, usercpu_time_millis_testing: 2.511, usercpu_time_millis_training: 60.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9839, kappa: 0.8385, kb_relative_information_score: 3035.5382, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9838, predictive_accuracy: 0.9843, prior_entropy: 0.3037, recall: 0.9843, relative_absolute_error: 0.2657, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.4813, scimark_benchmark: 1869.9448, usercpu_time_millis: 46.74, usercpu_time_millis_testing: 2.673, usercpu_time_millis_training: 44.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9838, kappa: 0.8379, kb_relative_information_score: 2998.446, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9836, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.25, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.108, root_relative_squared_error: 0.478, scimark_benchmark: 1873.4078, usercpu_time_millis: 42.656, usercpu_time_millis_testing: 1.93, usercpu_time_millis_training: 40.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9725, kappa: 0.7195, kb_relative_information_score: 2058.5679, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.972, predictive_accuracy: 0.9735, prior_entropy: 0.3037, recall: 0.9735, relative_absolute_error: 0.4153, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.5942, scimark_benchmark: 1874.977, usercpu_time_millis: 37.791, usercpu_time_millis_testing: 1.637, usercpu_time_millis_training: 36.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9835, kappa: 0.8343, kb_relative_information_score: 2989.2123, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9833, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2678, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.109, root_relative_squared_error: 0.4824, scimark_benchmark: 1860.6591, usercpu_time_millis: 41.877, usercpu_time_millis_testing: 2.423, usercpu_time_millis_training: 39.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9836, kappa: 0.8374, kb_relative_information_score: 3012.7417, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9835, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.245, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1082, root_relative_squared_error: 0.4791, scimark_benchmark: 1877.2162, usercpu_time_millis: 34.548, usercpu_time_millis_testing: 1.747, usercpu_time_millis_training: 32.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9747, kappa: 0.7457, kb_relative_information_score: 2094.6157, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9743, predictive_accuracy: 0.9754, prior_entropy: 0.3037, recall: 0.9754, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1329, root_relative_squared_error: 0.5884, scimark_benchmark: 1871.2001, usercpu_time_millis: 34.468, usercpu_time_millis_testing: 1.441, usercpu_time_millis_training: 33.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9715, kappa: 0.706, kb_relative_information_score: 1957.8582, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9713, predictive_accuracy: 0.9731, prior_entropy: 0.3037, recall: 0.9731, relative_absolute_error: 0.4349, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1348, root_relative_squared_error: 0.5968, scimark_benchmark: 1878.2574, usercpu_time_millis: 34.433, usercpu_time_millis_testing: 1.737, usercpu_time_millis_training: 32.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9706, kappa: 0.6893, kb_relative_information_score: 1828.0148, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.971, predictive_accuracy: 0.9729, prior_entropy: 0.3037, recall: 0.9729, relative_absolute_error: 0.4519, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.6014, scimark_benchmark: 1139.2551, usercpu_time_millis: 30.015, usercpu_time_millis_testing: 2.136, usercpu_time_millis_training: 27.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9684, kappa: 0.674, kb_relative_information_score: 1521.059, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9678, predictive_accuracy: 0.97, prior_entropy: 0.3037, recall: 0.97, relative_absolute_error: 0.4896, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.148, root_relative_squared_error: 0.6553, scimark_benchmark: 1862.932, usercpu_time_millis: 37.134, usercpu_time_millis_testing: 1.921, usercpu_time_millis_training: 35.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9739, kappa: 0.7225, kb_relative_information_score: 2333.6996, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9752, predictive_accuracy: 0.9762, prior_entropy: 0.3037, recall: 0.9762, relative_absolute_error: 0.4097, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.5631, scimark_benchmark: 1876.1631, usercpu_time_millis: 29.156, usercpu_time_millis_testing: 2.307, usercpu_time_millis_training: 26.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9788, kappa: 0.7793, kb_relative_information_score: 2640.9217, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9794, predictive_accuracy: 0.9802, prior_entropy: 0.3037, recall: 0.9802, relative_absolute_error: 0.3542, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1188, root_relative_squared_error: 0.5259, scimark_benchmark: 1872.4881, usercpu_time_millis: 27.403, usercpu_time_millis_testing: 2.031, usercpu_time_millis_training: 25.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.983, kappa: 0.8302, kb_relative_information_score: 3168.5904, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9828, predictive_accuracy: 0.9833, prior_entropy: 0.3037, recall: 0.9833, relative_absolute_error: 0.2399, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1109, root_relative_squared_error: 0.4908, scimark_benchmark: 1861.1173, usercpu_time_millis: 46.979, usercpu_time_millis_testing: 2.363, usercpu_time_millis_training: 44.616,

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