OpenML
Supervised Classification on wilt

Supervised Classification on wilt

Task 9914 Supervised Classification wilt 299149 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9838, kappa: 0.842, kb_relative_information_score: 3195.7546, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9839, predictive_accuracy: 0.9837, prior_entropy: 0.3037, recall: 0.9837, relative_absolute_error: 0.2247, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1121, root_relative_squared_error: 0.4964, scimark_benchmark: 644.8739, usercpu_time_millis: 22.74, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 22.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.98, kappa: 0.8046, kb_relative_information_score: 2823.4729, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9801, predictive_accuracy: 0.98, prior_entropy: 0.3037, recall: 0.98, relative_absolute_error: 0.2787, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1227, root_relative_squared_error: 0.5432, scimark_benchmark: 634.6849, usercpu_time_millis: 22.83, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 22.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.9579, kappa: 0.5336, kb_relative_information_score: 1186.3661, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9602, predictive_accuracy: 0.9638, prior_entropy: 0.3037, recall: 0.9638, relative_absolute_error: 0.528, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.7543, scimark_benchmark: 647.1282, usercpu_time_millis: 7.8, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 7.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9767, kappa: 0.7583, kb_relative_information_score: 2769.9385, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9769, predictive_accuracy: 0.9781, prior_entropy: 0.3037, recall: 0.9781, relative_absolute_error: 0.3568, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1356, root_relative_squared_error: 0.6004, scimark_benchmark: 635.2729, usercpu_time_millis: 43.01, usercpu_time_millis_testing: 0.6, usercpu_time_millis_training: 42.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.965, kappa: 0.6381, kb_relative_information_score: 1569.0442, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9642, predictive_accuracy: 0.9669, prior_entropy: 0.3037, recall: 0.9669, relative_absolute_error: 0.4751, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.6845, scimark_benchmark: 632.2042, usercpu_time_millis: 43.53, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 43.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9696, kappa: 0.6982, kb_relative_information_score: 1645.6989, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9693, predictive_accuracy: 0.97, prior_entropy: 0.3037, recall: 0.97, relative_absolute_error: 0.439, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.6758, scimark_benchmark: 662.9207, usercpu_time_millis: 8.85, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 8.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.9237, kappa: 0.0603, kb_relative_information_score: -1442.7467, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9313, predictive_accuracy: 0.9469, prior_entropy: 0.3037, recall: 0.9469, relative_absolute_error: 0.9047, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.9395, scimark_benchmark: 661.4439, usercpu_time_millis: 9.42, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 9.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.9452, kappa: 0.3797, kb_relative_information_score: 711.8553, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.946, predictive_accuracy: 0.9545, prior_entropy: 0.3037, recall: 0.9545, relative_absolute_error: 0.6991, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.8319, scimark_benchmark: 636.3433, usercpu_time_millis: 54.72, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 54.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9677, kappa: 0.6713, kb_relative_information_score: 1634.4396, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.967, predictive_accuracy: 0.969, prior_entropy: 0.3037, recall: 0.969, relative_absolute_error: 0.4536, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.6782, scimark_benchmark: 651.0854, usercpu_time_millis: 8.88, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 8.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.9441, kappa: 0.3748, kb_relative_information_score: 640.2023, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9431, predictive_accuracy: 0.9527, prior_entropy: 0.3037, recall: 0.9527, relative_absolute_error: 0.7099, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.8494, scimark_benchmark: 663.4636, usercpu_time_millis: 26.16, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 26.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9696, kappa: 0.6982, kb_relative_information_score: 1645.6669, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9693, predictive_accuracy: 0.97, prior_entropy: 0.3037, recall: 0.97, relative_absolute_error: 0.4391, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.6758, scimark_benchmark: 664.5772, usercpu_time_millis: 8.37, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 8.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9857, kappa: 0.8566, kb_relative_information_score: 3513.7585, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9856, predictive_accuracy: 0.9859, prior_entropy: 0.3037, recall: 0.9859, relative_absolute_error: 0.2066, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1048, root_relative_squared_error: 0.4641, scimark_benchmark: 659.358, usercpu_time_millis: 16.95, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 16.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9845, kappa: 0.8434, kb_relative_information_score: 3431.5289, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9844, predictive_accuracy: 0.9849, prior_entropy: 0.3037, recall: 0.9849, relative_absolute_error: 0.2418, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1118, root_relative_squared_error: 0.4949, scimark_benchmark: 645.1729, usercpu_time_millis: 32.22, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 31.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9873, kappa: 0.874, kb_relative_information_score: 3647.6412, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9872, predictive_accuracy: 0.9874, prior_entropy: 0.3037, recall: 0.9874, relative_absolute_error: 0.1821, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.4269, scimark_benchmark: 647.3208, usercpu_time_millis: 12.83, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 12.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9792, kappa: 0.7887, kb_relative_information_score: 2994.6165, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.979, predictive_accuracy: 0.98, prior_entropy: 0.3037, recall: 0.98, relative_absolute_error: 0.3101, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1276, root_relative_squared_error: 0.565, scimark_benchmark: 669.7103, usercpu_time_millis: 19.9, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 19.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.9722, kappa: 0.7084, kb_relative_information_score: 2567.1594, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9724, predictive_accuracy: 0.9742, prior_entropy: 0.3037, recall: 0.9742, relative_absolute_error: 0.4101, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.6445, scimark_benchmark: 630.135, usercpu_time_millis: 64.56, usercpu_time_millis_testing: 0.83, usercpu_time_millis_training: 63.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9656, kappa: 0.6442, kb_relative_information_score: 1625.3389, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9649, predictive_accuracy: 0.9676, prior_entropy: 0.3037, recall: 0.9676, relative_absolute_error: 0.4698, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.6843, scimark_benchmark: 642.627, usercpu_time_millis: 14.97, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 14.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9842, kappa: 0.8466, kb_relative_information_score: 3214.1411, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9844, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.2218, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.4954, scimark_benchmark: 641.3441, usercpu_time_millis: 22.09, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 21.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9696, kappa: 0.6982, kb_relative_information_score: 1645.7169, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9693, predictive_accuracy: 0.97, prior_entropy: 0.3037, recall: 0.97, relative_absolute_error: 0.439, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.6758, scimark_benchmark: 641.5654, usercpu_time_millis: 8.57, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 8.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9799, kappa: 0.8051, kb_relative_information_score: 2755.755, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9801, predictive_accuracy: 0.9797, prior_entropy: 0.3037, recall: 0.9797, relative_absolute_error: 0.2802, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.123, root_relative_squared_error: 0.5443, scimark_benchmark: 641.7561, usercpu_time_millis: 24.45, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 24.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.9419, kappa: 0.3414, kb_relative_information_score: 605.214, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9413, predictive_accuracy: 0.9519, prior_entropy: 0.3037, recall: 0.9519, relative_absolute_error: 0.7223, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.8557, scimark_benchmark: 668.0093, usercpu_time_millis: 31.16, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 31.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9654, kappa: 0.6426, kb_relative_information_score: 1613.2799, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9647, predictive_accuracy: 0.9673, prior_entropy: 0.3037, recall: 0.9673, relative_absolute_error: 0.4695, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1544, root_relative_squared_error: 0.6837, scimark_benchmark: 671.4489, usercpu_time_millis: 13.82, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 13.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9834, kappa: 0.8392, kb_relative_information_score: 3066.3056, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9836, predictive_accuracy: 0.9833, prior_entropy: 0.3037, recall: 0.9833, relative_absolute_error: 0.2398, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.5069, scimark_benchmark: 658.3453, usercpu_time_millis: 23.24, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 22.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9828, kappa: 0.8316, kb_relative_information_score: 3221.3727, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9828, predictive_accuracy: 0.9828, prior_entropy: 0.3037, recall: 0.9828, relative_absolute_error: 0.2244, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1129, root_relative_squared_error: 0.5, scimark_benchmark: 639.2532, usercpu_time_millis: 19.74, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 19.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9696, kappa: 0.6982, kb_relative_information_score: 1644.194, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9693, predictive_accuracy: 0.97, prior_entropy: 0.3037, recall: 0.97, relative_absolute_error: 0.4391, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.6757, scimark_benchmark: 654.7937, usercpu_time_millis: 8.77, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 8.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6583, f_measure: 0.9198, kb_relative_information_score: -1143.3477, mean_absolute_error: 0.1038, 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: 1.015, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9985, scimark_benchmark: 652.4409, usercpu_time_millis: 46.12, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.9243, kappa: 0.0676, kb_relative_information_score: -1460.8297, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9354, predictive_accuracy: 0.9473, prior_entropy: 0.3037, recall: 0.9473, relative_absolute_error: 0.9001, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.9355, scimark_benchmark: 645.3065, usercpu_time_millis: 10.38, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 10.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.9248, kappa: 0.0743, kb_relative_information_score: -1605.4999, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9366, predictive_accuracy: 0.9475, prior_entropy: 0.3037, recall: 0.9475, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.9319, scimark_benchmark: 646.3945, usercpu_time_millis: 12.7, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 12.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.9415, kappa: 0.3347, kb_relative_information_score: 601.0798, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9413, predictive_accuracy: 0.9519, prior_entropy: 0.3037, recall: 0.9519, relative_absolute_error: 0.7243, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.8562, scimark_benchmark: 645.2839, usercpu_time_millis: 28.95, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 28.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.9702, kappa: 0.6815, kb_relative_information_score: 2545.8099, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9716, predictive_accuracy: 0.9731, prior_entropy: 0.3037, recall: 0.9731, relative_absolute_error: 0.4622, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.6784, scimark_benchmark: 651.1683, usercpu_time_millis: 19.13, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 18.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5702, f_measure: 0.9242, kappa: 0.0627, kb_relative_information_score: -167.5083, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9452, predictive_accuracy: 0.9477, prior_entropy: 0.3037, recall: 0.9477, relative_absolute_error: 0.9888, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.9847, scimark_benchmark: 644.4494, usercpu_time_millis: 16.64, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 16.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9648, kappa: 0.6351, kb_relative_information_score: 1562.4552, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9641, predictive_accuracy: 0.9669, prior_entropy: 0.3037, recall: 0.9669, relative_absolute_error: 0.4762, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.6849, scimark_benchmark: 651.1787, usercpu_time_millis: 24.88, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 24.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9804, kappa: 0.8111, kb_relative_information_score: 2833.3037, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9808, predictive_accuracy: 0.9802, prior_entropy: 0.3037, recall: 0.9802, relative_absolute_error: 0.2719, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1214, root_relative_squared_error: 0.5374, scimark_benchmark: 647.2274, usercpu_time_millis: 24.57, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 24.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8417, f_measure: 0.9219, kappa: 0.0336, kb_relative_information_score: -520.0068, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9259, predictive_accuracy: 0.9463, prior_entropy: 0.3037, recall: 0.9463, relative_absolute_error: 0.9043, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.9639, scimark_benchmark: 645.6262, usercpu_time_millis: 8.61, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 8.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.9198, kb_relative_information_score: -1145.9825, mean_absolute_error: 0.1037, 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: 1.0147, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9982, scimark_benchmark: 652.9912, usercpu_time_millis: 126.31, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 126.19,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.9751, kappa: 0.7393, kb_relative_information_score: 2745.4521, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9756, predictive_accuracy: 0.9769, prior_entropy: 0.3037, recall: 0.9769, relative_absolute_error: 0.3881, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1405, root_relative_squared_error: 0.6219, scimark_benchmark: 654.435, usercpu_time_millis: 26.72, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 26.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9779, kappa: 0.7711, kb_relative_information_score: 2531.9413, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9781, predictive_accuracy: 0.9791, prior_entropy: 0.3037, recall: 0.9791, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1286, root_relative_squared_error: 0.5694, scimark_benchmark: 644.9082, usercpu_time_millis: 15.6, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 15.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9655, kappa: 0.6427, kb_relative_information_score: 1544.9265, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9648, predictive_accuracy: 0.9676, prior_entropy: 0.3037, recall: 0.9676, relative_absolute_error: 0.4781, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.685, scimark_benchmark: 651.9743, usercpu_time_millis: 214.08, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 214.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9692, kappa: 0.6902, kb_relative_information_score: 1631.5826, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9687, predictive_accuracy: 0.97, prior_entropy: 0.3037, recall: 0.97, relative_absolute_error: 0.4466, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.6761, scimark_benchmark: 654.1828, usercpu_time_millis: 8.67, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 8.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9677, kappa: 0.6713, kb_relative_information_score: 1637.4443, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.967, predictive_accuracy: 0.969, prior_entropy: 0.3037, recall: 0.969, relative_absolute_error: 0.455, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.6788, scimark_benchmark: 651.7114, usercpu_time_millis: 9.27, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 9.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.9417, kappa: 0.3402, kb_relative_information_score: 498.0367, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.941, predictive_accuracy: 0.9516, prior_entropy: 0.3037, recall: 0.9516, relative_absolute_error: 0.7179, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.8536, scimark_benchmark: 672.4467, usercpu_time_millis: 15.64, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 15.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6597, f_measure: 0.9198, kb_relative_information_score: -1255.2829, mean_absolute_error: 0.1037, 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: 1.0143, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.998, scimark_benchmark: 637.1635, usercpu_time_millis: 352.11, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 351.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6669, f_measure: 0.9198, kb_relative_information_score: -1095.6711, mean_absolute_error: 0.1039, 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: 1.0164, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.9994, scimark_benchmark: 667.0798, usercpu_time_millis: 12.93, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 12.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, f_measure: 0.9198, kb_relative_information_score: -1170.8793, mean_absolute_error: 0.1038, 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: 1.0151, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9982, scimark_benchmark: 692.1121, usercpu_time_millis: 165.68, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 165.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9788, kappa: 0.7793, kb_relative_information_score: 2623.6938, mean_absolute_error: 0.0349, 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: 0.341, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.5541, scimark_benchmark: 653.3219, usercpu_time_millis: 30.81, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 30.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9655, kappa: 0.6427, kb_relative_information_score: 1544.4597, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9648, predictive_accuracy: 0.9676, prior_entropy: 0.3037, recall: 0.9676, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.685, scimark_benchmark: 666.6976, usercpu_time_millis: 217.9, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 217.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.962, kappa: 0.5825, kb_relative_information_score: 890.3687, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9643, predictive_accuracy: 0.9669, prior_entropy: 0.3037, recall: 0.9669, relative_absolute_error: 0.5412, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.7252, scimark_benchmark: 711.0039, usercpu_time_millis: 7.79, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 7.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9702, kappa: 0.7039, kb_relative_information_score: 1645.0342, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9699, predictive_accuracy: 0.9707, prior_entropy: 0.3037, recall: 0.9707, relative_absolute_error: 0.44, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.676, scimark_benchmark: 661.4391, usercpu_time_millis: 8.21, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 8.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9652, kappa: 0.6396, kb_relative_information_score: 1622.4358, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9644, predictive_accuracy: 0.9671, prior_entropy: 0.3037, recall: 0.9671, relative_absolute_error: 0.4684, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1544, root_relative_squared_error: 0.6836, scimark_benchmark: 666.9216, usercpu_time_millis: 13.59, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 13.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9653, kappa: 0.6397, kb_relative_information_score: 1539.4858, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9646, predictive_accuracy: 0.9673, prior_entropy: 0.3037, recall: 0.9673, relative_absolute_error: 0.4793, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.6853, scimark_benchmark: 666.203, usercpu_time_millis: 200.85, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 200.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.9522, kappa: 0.4587, kb_relative_information_score: 994.0032, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.956, predictive_accuracy: 0.9603, prior_entropy: 0.3037, recall: 0.9603, relative_absolute_error: 0.6731, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.7957, scimark_benchmark: 677.0433, usercpu_time_millis: 127.35, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 127.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9697, kappa: 0.6986, kb_relative_information_score: 1643.3487, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9693, predictive_accuracy: 0.9702, prior_entropy: 0.3037, recall: 0.9702, relative_absolute_error: 0.441, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.6756, scimark_benchmark: 672.5157, usercpu_time_millis: 9.02, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 8.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6595, f_measure: 0.9198, kb_relative_information_score: -1201.8984, mean_absolute_error: 0.1037, 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: 1.0145, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.998, scimark_benchmark: 646.7876, usercpu_time_millis: 227.54, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 227.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.9684, kappa: 0.6644, kb_relative_information_score: 1117.0265, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9688, predictive_accuracy: 0.9711, prior_entropy: 0.3037, recall: 0.9711, relative_absolute_error: 0.4896, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.6903, scimark_benchmark: 665.7534, usercpu_time_millis: 10.11, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 9.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6941, f_measure: 0.9244, kappa: 0.0682, kb_relative_information_score: -333.542, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9383, predictive_accuracy: 0.9475, prior_entropy: 0.3037, recall: 0.9475, relative_absolute_error: 0.9782, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.979, scimark_benchmark: 654.7053, usercpu_time_millis: 155.36, usercpu_time_millis_testing: 1.47, usercpu_time_millis_training: 153.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9656, kappa: 0.6442, kb_relative_information_score: 1618.857, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9649, predictive_accuracy: 0.9676, prior_entropy: 0.3037, recall: 0.9676, relative_absolute_error: 0.4699, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.6841, scimark_benchmark: 664.4689, usercpu_time_millis: 14.02, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 13.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9691, kappa: 0.6929, kb_relative_information_score: 1646.4136, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9687, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.4407, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.6763, scimark_benchmark: 662.1994, usercpu_time_millis: 7.66, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 7.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.9244, kappa: 0.0682, kb_relative_information_score: -1602.5831, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9383, predictive_accuracy: 0.9475, prior_entropy: 0.3037, recall: 0.9475, relative_absolute_error: 0.8974, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.21, root_relative_squared_error: 0.9297, scimark_benchmark: 649.6382, usercpu_time_millis: 13.29, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 13.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.984, kappa: 0.8443, kb_relative_information_score: 3208.838, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9841, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2216, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1118, root_relative_squared_error: 0.4948, scimark_benchmark: 676.906, usercpu_time_millis: 22.31, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 21.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.9682, kappa: 0.6615, kb_relative_information_score: 1120.2318, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9688, predictive_accuracy: 0.9711, prior_entropy: 0.3037, recall: 0.9711, relative_absolute_error: 0.4915, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.6923, scimark_benchmark: 657.6237, usercpu_time_millis: 9.89, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 9.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9698, kappa: 0.6997, kb_relative_information_score: 1644.0105, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9694, predictive_accuracy: 0.9702, prior_entropy: 0.3037, recall: 0.9702, relative_absolute_error: 0.4393, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.6755, scimark_benchmark: 676.7839, usercpu_time_millis: 8.62, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 8.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9807, kappa: 0.8063, kb_relative_information_score: 3086.1764, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9805, predictive_accuracy: 0.9812, prior_entropy: 0.3037, recall: 0.9812, relative_absolute_error: 0.2826, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.5453, scimark_benchmark: 686.6463, usercpu_time_millis: 19.32, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 19.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.965, kappa: 0.6381, kb_relative_information_score: 1568.3597, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9642, predictive_accuracy: 0.9669, prior_entropy: 0.3037, recall: 0.9669, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.6845, scimark_benchmark: 671.2344, usercpu_time_millis: 42.67, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 42.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9829, kappa: 0.8322, kb_relative_information_score: 3197.0916, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9829, predictive_accuracy: 0.9828, prior_entropy: 0.3037, recall: 0.9828, relative_absolute_error: 0.2274, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.5022, scimark_benchmark: 668.0128, usercpu_time_millis: 20.86, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 20.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.9616, kappa: 0.5818, kb_relative_information_score: 1173.483, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9628, predictive_accuracy: 0.9661, prior_entropy: 0.3037, recall: 0.9661, relative_absolute_error: 0.5266, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.7398, scimark_benchmark: 658.7174, usercpu_time_millis: 7.96, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 7.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.9243, kappa: 0.0676, kb_relative_information_score: -1586.1826, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9354, predictive_accuracy: 0.9473, prior_entropy: 0.3037, recall: 0.9473, relative_absolute_error: 0.8983, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.9312, scimark_benchmark: 692.8315, usercpu_time_millis: 12.54, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 12.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6738, f_measure: 0.9198, kb_relative_information_score: -1142.7261, mean_absolute_error: 0.1038, 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: 1.0154, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.9986, scimark_benchmark: 669.306, usercpu_time_millis: 34.78, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 34.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9684, kappa: 0.6785, kb_relative_information_score: 1633.0238, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9678, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.4534, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.6784, scimark_benchmark: 673.1116, usercpu_time_millis: 9.08, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 8.96,

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