OpenML
Supervised Classification on BNG(breast-w)

Supervised Classification on BNG(breast-w)

Task 2142 Supervised Classification BNG(breast-w) 354 runs submitted
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  • mythbusting_1 study_1 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9817, kappa: 0.9594, kb_relative_information_score: 37693.8191, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9817, predictive_accuracy: 0.9816, prior_entropy: 0.9287, recall: 0.9816, relative_absolute_error: 0.0407, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.2853, usercpu_time_millis: 34.44, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 34.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.9072, kappa: 0.7908, kb_relative_information_score: 31131.2149, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9127, predictive_accuracy: 0.9095, prior_entropy: 0.9287, recall: 0.9095, relative_absolute_error: 0.2004, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.6331, usercpu_time_millis: 6.347, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 6.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.9555, kappa: 0.9028, kb_relative_information_score: 35272.7315, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9585, predictive_accuracy: 0.955, prior_entropy: 0.9287, recall: 0.955, relative_absolute_error: 0.0996, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.212, root_relative_squared_error: 0.4463, usercpu_time_millis: 16.127, usercpu_time_millis_testing: 14.86, usercpu_time_millis_training: 1.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.979, kappa: 0.9535, kb_relative_information_score: 37455.6414, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.979, predictive_accuracy: 0.979, prior_entropy: 0.9287, recall: 0.979, relative_absolute_error: 0.0465, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.3049, usercpu_time_millis: 8.663, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 8.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9779, kappa: 0.951, kb_relative_information_score: 37353.8956, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9779, predictive_accuracy: 0.9779, prior_entropy: 0.9287, recall: 0.9779, relative_absolute_error: 0.049, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1487, root_relative_squared_error: 0.3129, usercpu_time_millis: 1032.899, usercpu_time_millis_testing: 98.379, usercpu_time_millis_training: 934.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9841, kappa: 0.9647, kb_relative_information_score: 37911.1851, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.9287, recall: 0.984, relative_absolute_error: 0.0354, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1264, root_relative_squared_error: 0.2661, usercpu_time_millis: 550.934, usercpu_time_millis_testing: 16.078, usercpu_time_millis_training: 534.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9791, kappa: 0.9537, kb_relative_information_score: 37462.5786, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9791, predictive_accuracy: 0.9791, prior_entropy: 0.9287, recall: 0.9791, relative_absolute_error: 0.0463, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.3044, usercpu_time_millis: 192.01, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 191.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.979, kappa: 0.9535, kb_relative_information_score: 37455.6414, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.979, predictive_accuracy: 0.979, prior_entropy: 0.9287, recall: 0.979, relative_absolute_error: 0.0465, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.3049, usercpu_time_millis: 9.211, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 9.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.979, kappa: 0.9536, kb_relative_information_score: 37457.9538, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.979, predictive_accuracy: 0.979, prior_entropy: 0.9287, recall: 0.979, relative_absolute_error: 0.0464, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1448, root_relative_squared_error: 0.3047, usercpu_time_millis: 1.666, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 1.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9793, kappa: 0.9541, kb_relative_information_score: 37481.0779, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9793, predictive_accuracy: 0.9793, prior_entropy: 0.9287, recall: 0.9793, relative_absolute_error: 0.0459, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.3029, usercpu_time_millis: 2.669, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 2.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9736, kappa: 0.9412, kb_relative_information_score: 36967.7241, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9737, predictive_accuracy: 0.9737, prior_entropy: 0.9287, recall: 0.9737, relative_absolute_error: 0.0584, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.3416, usercpu_time_millis: 3.088, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 2.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9828, kappa: 0.9619, kb_relative_information_score: 37797.8773, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9828, predictive_accuracy: 0.9828, prior_entropy: 0.9287, recall: 0.9828, relative_absolute_error: 0.0382, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1312, root_relative_squared_error: 0.2762, usercpu_time_millis: 21.506, usercpu_time_millis_testing: 21.361, usercpu_time_millis_training: 0.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9826, kappa: 0.9614, kb_relative_information_score: 37777.0657, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9826, predictive_accuracy: 0.9825, prior_entropy: 0.9287, recall: 0.9825, relative_absolute_error: 0.0387, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1321, root_relative_squared_error: 0.2781, usercpu_time_millis: 271.521, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 271.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.982, kappa: 0.9602, kb_relative_information_score: 37726.1928, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.982, predictive_accuracy: 0.982, prior_entropy: 0.9287, recall: 0.982, relative_absolute_error: 0.0399, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.2825, usercpu_time_millis: 23.48, usercpu_time_millis_testing: 0.504, usercpu_time_millis_training: 22.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9865, kappa: 0.9702, kb_relative_information_score: 38140.1132, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9866, predictive_accuracy: 0.9865, prior_entropy: 0.9287, recall: 0.9865, relative_absolute_error: 0.0298, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.116, root_relative_squared_error: 0.2442, usercpu_time_millis: 2578.574, usercpu_time_millis_testing: 7.206, usercpu_time_millis_training: 2571.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9782, kappa: 0.9517, kb_relative_information_score: 37383.9569, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9782, predictive_accuracy: 0.9782, prior_entropy: 0.9287, recall: 0.9782, relative_absolute_error: 0.0482, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.3106, usercpu_time_millis: 14.165, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 14.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9782, kappa: 0.9517, kb_relative_information_score: 37377.0197, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9782, predictive_accuracy: 0.9782, prior_entropy: 0.9287, recall: 0.9782, relative_absolute_error: 0.0484, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1478, root_relative_squared_error: 0.3111, usercpu_time_millis: 21.329, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 21.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5196, kb_relative_information_score: 8041.8554, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.4302, predictive_accuracy: 0.6559, prior_entropy: 0.9287, recall: 0.6559, relative_absolute_error: 0.7623, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.5866, root_relative_squared_error: 1.2348, usercpu_time_millis: 14.867, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 14.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5196, kb_relative_information_score: 8041.8554, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.4302, predictive_accuracy: 0.6559, prior_entropy: 0.9287, recall: 0.6559, relative_absolute_error: 0.7623, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.5866, root_relative_squared_error: 1.2348, usercpu_time_millis: 9.082, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 9.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9806, kappa: 0.957, kb_relative_information_score: 37594.3857, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9806, predictive_accuracy: 0.9805, prior_entropy: 0.9287, recall: 0.9805, relative_absolute_error: 0.0431, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.2936, usercpu_time_millis: 10.743, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 10.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9856, kappa: 0.9681, kb_relative_information_score: 38052.2418, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.9287, recall: 0.9856, relative_absolute_error: 0.032, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.2528, usercpu_time_millis: 285.585, usercpu_time_millis_testing: 3.838, usercpu_time_millis_training: 281.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.979, kappa: 0.9535, kb_relative_information_score: 37455.6414, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.979, predictive_accuracy: 0.979, prior_entropy: 0.9287, recall: 0.979, relative_absolute_error: 0.0465, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.3049, usercpu_time_millis: 8.591, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 8.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9748, kappa: 0.944, kb_relative_information_score: 37081.0319, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9749, predictive_accuracy: 0.9749, prior_entropy: 0.9287, recall: 0.9749, relative_absolute_error: 0.0556, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.3335, usercpu_time_millis: 122.029, usercpu_time_millis_testing: 1.386, usercpu_time_millis_training: 120.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9824, kappa: 0.961, kb_relative_information_score: 37758.5664, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9824, predictive_accuracy: 0.9823, prior_entropy: 0.9287, recall: 0.9823, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1329, root_relative_squared_error: 0.2797, usercpu_time_millis: 157.074, usercpu_time_millis_testing: 0.581, usercpu_time_millis_training: 156.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9859, kappa: 0.9687, kb_relative_information_score: 38077.6783, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9859, predictive_accuracy: 0.9859, prior_entropy: 0.9287, recall: 0.9859, relative_absolute_error: 0.0313, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.119, root_relative_squared_error: 0.2504, usercpu_time_millis: 395.525, usercpu_time_millis_testing: 2.59, usercpu_time_millis_training: 392.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9794, kappa: 0.9544, kb_relative_information_score: 36793.9709, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9794, predictive_accuracy: 0.9794, prior_entropy: 0.9287, recall: 0.9794, relative_absolute_error: 0.0698, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1339, root_relative_squared_error: 0.2819, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9812, kappa: 0.9584, kb_relative_information_score: 35572.682, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9812, predictive_accuracy: 0.9812, prior_entropy: 0.9287, recall: 0.9812, relative_absolute_error: 0.1108, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.2639, scimark_benchmark: 972.587, usercpu_time_millis: 4680, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9816, kappa: 0.9592, kb_relative_information_score: 36775.4505, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9816, predictive_accuracy: 0.9816, prior_entropy: 0.9287, recall: 0.9816, relative_absolute_error: 0.0712, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1195, root_relative_squared_error: 0.2516, scimark_benchmark: 851.2074, usercpu_time_millis: 30440, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9852, kappa: 0.9672, kb_relative_information_score: 37761.441, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9853, predictive_accuracy: 0.9851, prior_entropy: 0.9287, recall: 0.9851, relative_absolute_error: 0.0412, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1062, root_relative_squared_error: 0.2236, scimark_benchmark: 941.6675, usercpu_time_millis: 470, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9852, kappa: 0.9672, kb_relative_information_score: 37761.441, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9853, predictive_accuracy: 0.9851, prior_entropy: 0.9287, recall: 0.9851, relative_absolute_error: 0.0412, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1062, root_relative_squared_error: 0.2236, scimark_benchmark: 941.6675, usercpu_time_millis: 780, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9842, kappa: 0.965, kb_relative_information_score: 37210.5909, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9842, predictive_accuracy: 0.9842, prior_entropy: 0.9287, recall: 0.9842, relative_absolute_error: 0.0586, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1109, root_relative_squared_error: 0.2334, scimark_benchmark: 941.6675, usercpu_time_millis: 3140, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 3060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9852, kappa: 0.9672, kb_relative_information_score: 37761.441, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9853, predictive_accuracy: 0.9851, prior_entropy: 0.9287, recall: 0.9851, relative_absolute_error: 0.0412, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1062, root_relative_squared_error: 0.2236, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9863, kappa: 0.9696, kb_relative_information_score: 37404.2666, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9863, predictive_accuracy: 0.9863, prior_entropy: 0.9287, recall: 0.9863, relative_absolute_error: 0.0536, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1039, root_relative_squared_error: 0.2188, scimark_benchmark: 931.771, usercpu_time_millis: 16120, usercpu_time_millis_testing: 1190, usercpu_time_millis_training: 14930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9828, kappa: 0.9621, kb_relative_information_score: 37800.1897, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.983, predictive_accuracy: 0.9828, prior_entropy: 0.9287, recall: 0.9828, relative_absolute_error: 0.0381, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.276, scimark_benchmark: 974.2014, usercpu_time_millis: 221720, usercpu_time_millis_testing: 40540, usercpu_time_millis_training: 181180,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9849, kappa: 0.9665, kb_relative_information_score: 37531.5912, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 0.9287, recall: 0.9849, relative_absolute_error: 0.0488, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.2288, scimark_benchmark: 936.3373, usercpu_time_millis: 16960, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 16840,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9816, kappa: 0.9592, kb_relative_information_score: 36775.4505, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9816, predictive_accuracy: 0.9816, prior_entropy: 0.9287, recall: 0.9816, relative_absolute_error: 0.0712, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1195, root_relative_squared_error: 0.2516, scimark_benchmark: 875.9128, usercpu_time_millis: 11100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 11070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9828, kappa: 0.9621, kb_relative_information_score: 37800.1897, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.983, predictive_accuracy: 0.9828, prior_entropy: 0.9287, recall: 0.9828, relative_absolute_error: 0.0381, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.276, scimark_benchmark: 890.5596, usercpu_time_millis: 198000, usercpu_time_millis_testing: 32970, usercpu_time_millis_training: 165030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.975, kappa: 0.9449, kb_relative_information_score: 37039.0895, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9757, predictive_accuracy: 0.9749, prior_entropy: 0.9287, recall: 0.9749, relative_absolute_error: 0.0571, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.3134, scimark_benchmark: 945.0194, usercpu_time_millis: 600, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9852, kappa: 0.9672, kb_relative_information_score: 37761.441, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9853, predictive_accuracy: 0.9851, prior_entropy: 0.9287, recall: 0.9851, relative_absolute_error: 0.0412, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1062, root_relative_squared_error: 0.2236, scimark_benchmark: 938.838, usercpu_time_millis: 790, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9842, kappa: 0.965, kb_relative_information_score: 37210.5909, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9842, predictive_accuracy: 0.9842, prior_entropy: 0.9287, recall: 0.9842, relative_absolute_error: 0.0586, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1109, root_relative_squared_error: 0.2334, scimark_benchmark: 946.9304, usercpu_time_millis: 3230, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 3150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9852, kappa: 0.9672, kb_relative_information_score: 37761.441, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9853, predictive_accuracy: 0.9851, prior_entropy: 0.9287, recall: 0.9851, relative_absolute_error: 0.0412, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1062, root_relative_squared_error: 0.2236, scimark_benchmark: 879.4299, usercpu_time_millis: 450, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9849, kappa: 0.9665, kb_relative_information_score: 37531.5912, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 0.9287, recall: 0.9849, relative_absolute_error: 0.0488, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.2288, scimark_benchmark: 942.3809, usercpu_time_millis: 18950, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 18830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9863, kappa: 0.9696, kb_relative_information_score: 37404.2666, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9863, predictive_accuracy: 0.9863, prior_entropy: 0.9287, recall: 0.9863, relative_absolute_error: 0.0536, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1039, root_relative_squared_error: 0.2188, scimark_benchmark: 946.9304, usercpu_time_millis: 17090, usercpu_time_millis_testing: 1190, usercpu_time_millis_training: 15900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9846, kappa: 0.9658, kb_relative_information_score: 37208.2834, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9846, predictive_accuracy: 0.9846, prior_entropy: 0.9287, recall: 0.9846, relative_absolute_error: 0.0592, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.2288, scimark_benchmark: 936.3952, usercpu_time_millis: 27870, usercpu_time_millis_testing: 630, usercpu_time_millis_training: 27240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9794, kappa: 0.9544, kb_relative_information_score: 36793.9709, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9794, predictive_accuracy: 0.9794, prior_entropy: 0.9287, recall: 0.9794, relative_absolute_error: 0.0698, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1339, root_relative_squared_error: 0.2819, scimark_benchmark: 915.9028, usercpu_time_millis: 490, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9828, kappa: 0.9621, kb_relative_information_score: 37800.1897, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.983, predictive_accuracy: 0.9828, prior_entropy: 0.9287, recall: 0.9828, relative_absolute_error: 0.0381, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.276, scimark_benchmark: 917.9672, usercpu_time_millis: 184860, usercpu_time_millis_testing: 31620, usercpu_time_millis_training: 153240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9812, kappa: 0.9584, kb_relative_information_score: 35572.682, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9812, predictive_accuracy: 0.9812, prior_entropy: 0.9287, recall: 0.9812, relative_absolute_error: 0.1108, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.2639, scimark_benchmark: 1346.2927, usercpu_time_millis: 3740, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9794, kappa: 0.9544, kb_relative_information_score: 36793.9709, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9794, predictive_accuracy: 0.9794, prior_entropy: 0.9287, recall: 0.9794, relative_absolute_error: 0.0698, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1339, root_relative_squared_error: 0.2819, scimark_benchmark: 1340.9446, usercpu_time_millis: 650, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9828, kappa: 0.9621, kb_relative_information_score: 37800.1897, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.983, predictive_accuracy: 0.9828, prior_entropy: 0.9287, recall: 0.9828, relative_absolute_error: 0.0381, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.276, scimark_benchmark: 1334.8671, usercpu_time_millis: 534450, usercpu_time_millis_testing: 28500, usercpu_time_millis_training: 505950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9828, kappa: 0.9621, kb_relative_information_score: 37800.1897, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.983, predictive_accuracy: 0.9828, prior_entropy: 0.9287, recall: 0.9828, relative_absolute_error: 0.0381, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.276, scimark_benchmark: 1336.0954, usercpu_time_millis: 276770, usercpu_time_millis_testing: 31990, usercpu_time_millis_training: 244780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9852, kappa: 0.9672, kb_relative_information_score: 37761.441, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9853, predictive_accuracy: 0.9851, prior_entropy: 0.9287, recall: 0.9851, relative_absolute_error: 0.0412, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1062, root_relative_squared_error: 0.2236, scimark_benchmark: 1362.9924, usercpu_time_millis: 350, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9852, kappa: 0.9672, kb_relative_information_score: 37761.441, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9853, predictive_accuracy: 0.9851, prior_entropy: 0.9287, recall: 0.9851, relative_absolute_error: 0.0412, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1062, root_relative_squared_error: 0.2236, scimark_benchmark: 1303.5632, usercpu_time_millis: 270, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9852, kappa: 0.9672, kb_relative_information_score: 37761.441, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9853, predictive_accuracy: 0.9851, prior_entropy: 0.9287, recall: 0.9851, relative_absolute_error: 0.0412, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1062, root_relative_squared_error: 0.2236, scimark_benchmark: 908.2231, usercpu_time_millis: 390, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.975, kappa: 0.9449, kb_relative_information_score: 37039.0895, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9757, predictive_accuracy: 0.9749, prior_entropy: 0.9287, recall: 0.9749, relative_absolute_error: 0.0571, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.3134, scimark_benchmark: 1324.7884, usercpu_time_millis: 360, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9852, kappa: 0.9672, kb_relative_information_score: 37761.441, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9853, predictive_accuracy: 0.9851, prior_entropy: 0.9287, recall: 0.9851, relative_absolute_error: 0.0412, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1062, root_relative_squared_error: 0.2236, scimark_benchmark: 1333.202, usercpu_time_millis: 310, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9852, kappa: 0.9672, kb_relative_information_score: 37761.441, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9853, predictive_accuracy: 0.9851, prior_entropy: 0.9287, recall: 0.9851, relative_absolute_error: 0.0412, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1062, root_relative_squared_error: 0.2236, scimark_benchmark: 1338.5214, usercpu_time_millis: 250, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9852, kappa: 0.9672, kb_relative_information_score: 37761.441, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9853, predictive_accuracy: 0.9851, prior_entropy: 0.9287, recall: 0.9851, relative_absolute_error: 0.0412, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1062, root_relative_squared_error: 0.2236, scimark_benchmark: 1349.1517, usercpu_time_millis: 390, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9852, kappa: 0.9672, kb_relative_information_score: 37761.441, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9853, predictive_accuracy: 0.9851, prior_entropy: 0.9287, recall: 0.9851, relative_absolute_error: 0.0412, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1062, root_relative_squared_error: 0.2236, scimark_benchmark: 1324.6442, usercpu_time_millis: 330, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9812, kappa: 0.9584, kb_relative_information_score: 35572.682, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9812, predictive_accuracy: 0.9812, prior_entropy: 0.9287, recall: 0.9812, relative_absolute_error: 0.1108, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.2639, scimark_benchmark: 1319.4538, usercpu_time_millis: 6750, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 6720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.975, kappa: 0.9449, kb_relative_information_score: 37039.0895, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9757, predictive_accuracy: 0.9749, prior_entropy: 0.9287, recall: 0.9749, relative_absolute_error: 0.0571, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.3134, scimark_benchmark: 1310.6554, usercpu_time_millis: 310, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9852, kappa: 0.9672, kb_relative_information_score: 37761.441, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9853, predictive_accuracy: 0.9851, prior_entropy: 0.9287, recall: 0.9851, relative_absolute_error: 0.0412, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1062, root_relative_squared_error: 0.2236, scimark_benchmark: 1321.8321, usercpu_time_millis: 320, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9852, kappa: 0.9672, kb_relative_information_score: 37761.441, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9853, predictive_accuracy: 0.9851, prior_entropy: 0.9287, recall: 0.9851, relative_absolute_error: 0.0412, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1062, root_relative_squared_error: 0.2236, scimark_benchmark: 1337.9552, usercpu_time_millis: 570, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9842, kappa: 0.965, kb_relative_information_score: 37210.5909, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9842, predictive_accuracy: 0.9842, prior_entropy: 0.9287, recall: 0.9842, relative_absolute_error: 0.0586, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1109, root_relative_squared_error: 0.2334, scimark_benchmark: 1318.4315, usercpu_time_millis: 3700, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 3620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9852, kappa: 0.9672, kb_relative_information_score: 37761.441, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9853, predictive_accuracy: 0.9851, prior_entropy: 0.9287, recall: 0.9851, relative_absolute_error: 0.0412, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1062, root_relative_squared_error: 0.2236, scimark_benchmark: 1332.1612, usercpu_time_millis: 410, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9812, kappa: 0.9584, kb_relative_information_score: 35572.682, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9812, predictive_accuracy: 0.9812, prior_entropy: 0.9287, recall: 0.9812, relative_absolute_error: 0.1108, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.2639, scimark_benchmark: 1346.1568, usercpu_time_millis: 4460, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 4430,

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