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: 0.9902, f_measure: 0.9811, kappa: 0.806, kb_relative_information_score: 2557.9177, mean_absolute_error: 0.0345, 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: 0.3375, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1169, root_relative_squared_error: 0.5176, scimark_benchmark: 1752.6185, usercpu_time_millis: 17.999, usercpu_time_millis_testing: 0.9, usercpu_time_millis_training: 17.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9798, kappa: 0.7895, kb_relative_information_score: 2651.7597, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9806, predictive_accuracy: 0.9812, prior_entropy: 0.3037, recall: 0.9812, relative_absolute_error: 0.3537, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1189, root_relative_squared_error: 0.5262, scimark_benchmark: 1869.6309, usercpu_time_millis: 23.898, usercpu_time_millis_testing: 1.547, usercpu_time_millis_training: 22.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.976, kappa: 0.7499, kb_relative_information_score: 2136.3074, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9762, predictive_accuracy: 0.9775, prior_entropy: 0.3037, recall: 0.9775, relative_absolute_error: 0.4079, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1289, root_relative_squared_error: 0.5708, scimark_benchmark: 1871.2001, usercpu_time_millis: 22.263, usercpu_time_millis_testing: 0.936, usercpu_time_millis_training: 21.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9845, kappa: 0.8457, kb_relative_information_score: 3147.6985, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9843, predictive_accuracy: 0.9847, prior_entropy: 0.3037, recall: 0.9847, relative_absolute_error: 0.2272, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.4838, scimark_benchmark: 1879.7115, usercpu_time_millis: 25.81, usercpu_time_millis_testing: 1.02, usercpu_time_millis_training: 24.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9693, kappa: 0.6788, kb_relative_information_score: 1127.0693, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9692, predictive_accuracy: 0.9715, prior_entropy: 0.3037, recall: 0.9715, relative_absolute_error: 0.5066, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1531, root_relative_squared_error: 0.6779, scimark_benchmark: 1874.3338, usercpu_time_millis: 22.769, usercpu_time_millis_testing: 1.066, usercpu_time_millis_training: 21.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9735, kappa: 0.7171, kb_relative_information_score: 2419.6862, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9752, predictive_accuracy: 0.976, prior_entropy: 0.3037, recall: 0.976, relative_absolute_error: 0.4053, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.128, root_relative_squared_error: 0.5665, scimark_benchmark: 1870.2387, usercpu_time_millis: 15.253, usercpu_time_millis_testing: 0.974, usercpu_time_millis_training: 14.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9802, kappa: 0.7939, kb_relative_information_score: 2674.214, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9807, predictive_accuracy: 0.9814, prior_entropy: 0.3037, recall: 0.9814, relative_absolute_error: 0.3377, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.5169, scimark_benchmark: 1756.6208, usercpu_time_millis: 16.593, usercpu_time_millis_testing: 1.193, usercpu_time_millis_training: 15.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9753, kappa: 0.737, kb_relative_information_score: 2419.8907, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9768, predictive_accuracy: 0.9775, prior_entropy: 0.3037, recall: 0.9775, relative_absolute_error: 0.4057, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.5639, scimark_benchmark: 1870.9768, usercpu_time_millis: 12.837, usercpu_time_millis_testing: 1.106, usercpu_time_millis_training: 11.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9444, kappa: 0.3407, kb_relative_information_score: 157.2749, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9595, predictive_accuracy: 0.9576, prior_entropy: 0.3037, recall: 0.9576, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.172, root_relative_squared_error: 0.7615, scimark_benchmark: 1874.5188, usercpu_time_millis: 13.62, usercpu_time_millis_testing: 1.251, usercpu_time_millis_training: 12.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9744, kappa: 0.7318, kb_relative_information_score: 2107.8631, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9749, predictive_accuracy: 0.9762, prior_entropy: 0.3037, recall: 0.9762, relative_absolute_error: 0.3824, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.5639, scimark_benchmark: 1872.8797, usercpu_time_millis: 12.28, usercpu_time_millis_testing: 1.033, usercpu_time_millis_training: 11.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9348, kappa: 0.2091, kb_relative_information_score: 378.1973, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9549, predictive_accuracy: 0.9527, prior_entropy: 0.3037, recall: 0.9527, relative_absolute_error: 0.7222, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.7752, scimark_benchmark: 1873.4078, usercpu_time_millis: 12.588, usercpu_time_millis_testing: 1.254, usercpu_time_millis_training: 11.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, f_measure: 0.9198, kb_relative_information_score: 1.362, 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: 1750.0316, usercpu_time_millis: 0.936, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 0.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9793, kappa: 0.784, kb_relative_information_score: 2553.5808, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9802, predictive_accuracy: 0.9808, prior_entropy: 0.3037, recall: 0.9808, relative_absolute_error: 0.3607, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.5286, scimark_benchmark: 1753.5091, usercpu_time_millis: 14.112, usercpu_time_millis_testing: 0.744, usercpu_time_millis_training: 13.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.9198, kb_relative_information_score: -1504.4271, mean_absolute_error: 0.0993, 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: 0.9715, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.9759, scimark_benchmark: 1878.3273, usercpu_time_millis: 8.23, usercpu_time_millis_testing: 0.939, usercpu_time_millis_training: 7.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.9198, kb_relative_information_score: -1094.1505, 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: 0.9755, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.221, root_relative_squared_error: 0.9782, scimark_benchmark: 1876.2965, usercpu_time_millis: 10.178, usercpu_time_millis_testing: 1.131, usercpu_time_millis_training: 9.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9716, kappa: 0.6931, kb_relative_information_score: 2304.4766, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9743, predictive_accuracy: 0.9748, prior_entropy: 0.3037, recall: 0.9748, relative_absolute_error: 0.4314, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.5794, scimark_benchmark: 1860.3388, usercpu_time_millis: 9.247, usercpu_time_millis_testing: 0.635, usercpu_time_millis_training: 8.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9804, kappa: 0.7981, kb_relative_information_score: 2710.4245, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9806, predictive_accuracy: 0.9814, prior_entropy: 0.3037, recall: 0.9814, relative_absolute_error: 0.3206, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.5114, scimark_benchmark: 1872.7767, usercpu_time_millis: 8.796, usercpu_time_millis_testing: 0.566, usercpu_time_millis_training: 8.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9633, kappa: 0.5895, kb_relative_information_score: 1621.4085, mean_absolute_error: 0.0562, 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: 0.5493, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.6525, scimark_benchmark: 1859.4881, usercpu_time_millis: 8.18, usercpu_time_millis_testing: 0.811, usercpu_time_millis_training: 7.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, f_measure: 0.9198, kb_relative_information_score: 5.2289, 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: 0.9979, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1867.725, usercpu_time_millis: 6.303, usercpu_time_millis_testing: 1.112, usercpu_time_millis_training: 5.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.9198, kb_relative_information_score: -569.4557, mean_absolute_error: 0.085, 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: 0.8313, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.8569, scimark_benchmark: 1873.4805, usercpu_time_millis: 6.051, usercpu_time_millis_testing: 0.582, usercpu_time_millis_training: 5.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9804, kappa: 0.7994, kb_relative_information_score: 2319.8946, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9803, predictive_accuracy: 0.9812, prior_entropy: 0.3037, recall: 0.9812, relative_absolute_error: 0.3633, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.5464, scimark_benchmark: 1872.8797, usercpu_time_millis: 1.375, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 1.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9725, kappa: 0.7026, kb_relative_information_score: 2153.2488, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.975, predictive_accuracy: 0.9754, prior_entropy: 0.3037, recall: 0.9754, relative_absolute_error: 0.4429, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.587, scimark_benchmark: 1874.3338, usercpu_time_millis: 1.826, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 1.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.9198, kb_relative_information_score: -2330.3043, mean_absolute_error: 0.0906, 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: 0.8859, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.9044, scimark_benchmark: 1849.0023, usercpu_time_millis: 3.503, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 3.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9719, kappa: 0.7043, kb_relative_information_score: 1416.2472, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9722, predictive_accuracy: 0.974, prior_entropy: 0.3037, recall: 0.974, relative_absolute_error: 0.4547, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.6204, scimark_benchmark: 1757.8494, usercpu_time_millis: 0.296, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9841, kappa: 0.8415, kb_relative_information_score: 3237.7842, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9839, predictive_accuracy: 0.9843, prior_entropy: 0.3037, recall: 0.9843, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.11, root_relative_squared_error: 0.4868, scimark_benchmark: 1748.3618, usercpu_time_millis: 53.278, usercpu_time_millis_testing: 1.624, usercpu_time_millis_training: 51.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9721, kappa: 0.7174, kb_relative_information_score: 2021.0884, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9717, predictive_accuracy: 0.9731, prior_entropy: 0.3037, recall: 0.9731, relative_absolute_error: 0.4331, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.138, root_relative_squared_error: 0.6111, scimark_benchmark: 1752.1664, usercpu_time_millis: 39.377, usercpu_time_millis_testing: 1.489, usercpu_time_millis_training: 37.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9636, kappa: 0.5956, kb_relative_information_score: 1453.2389, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9679, predictive_accuracy: 0.9688, prior_entropy: 0.3037, recall: 0.9688, relative_absolute_error: 0.5516, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.6517, scimark_benchmark: 1846.2359, usercpu_time_millis: 30.543, usercpu_time_millis_testing: 1.93, usercpu_time_millis_training: 28.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9815, kappa: 0.8104, kb_relative_information_score: 2818.9156, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9817, predictive_accuracy: 0.9824, prior_entropy: 0.3037, recall: 0.9824, relative_absolute_error: 0.3096, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.5008, scimark_benchmark: 2143.9004, usercpu_time_millis: 22.431, usercpu_time_millis_testing: 1.271, usercpu_time_millis_training: 21.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.9198, kb_relative_information_score: -1614.1674, mean_absolute_error: 0.0922, 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: 0.9023, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.9178, scimark_benchmark: 1752.9026, usercpu_time_millis: 11.478, usercpu_time_millis_testing: 1.327, usercpu_time_millis_training: 10.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.9198, kb_relative_information_score: -655.1287, mean_absolute_error: 0.086, 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: 0.8411, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.8642, scimark_benchmark: 1853.775, usercpu_time_millis: 14.99, usercpu_time_millis_testing: 1.473, usercpu_time_millis_training: 13.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9837, kappa: 0.8361, kb_relative_information_score: 2916.4221, mean_absolute_error: 0.0271, 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: 0.2647, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1096, root_relative_squared_error: 0.4854, scimark_benchmark: 1870.3532, usercpu_time_millis: 10.559, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 10.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9817, kappa: 0.8134, kb_relative_information_score: 2782.4594, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9817, predictive_accuracy: 0.9824, prior_entropy: 0.3037, recall: 0.9824, relative_absolute_error: 0.3072, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.5077, scimark_benchmark: 1746.2876, usercpu_time_millis: 8.898, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 8.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.9475, kappa: 0.3906, kb_relative_information_score: 374.8582, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.955, predictive_accuracy: 0.9583, prior_entropy: 0.3037, recall: 0.9583, relative_absolute_error: 0.7014, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.173, root_relative_squared_error: 0.7659, scimark_benchmark: 1850.3505, usercpu_time_millis: 11.045, usercpu_time_millis_testing: 0.573, usercpu_time_millis_training: 10.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9679, kappa: 0.6542, kb_relative_information_score: 919.7663, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9694, predictive_accuracy: 0.9713, prior_entropy: 0.3037, recall: 0.9713, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.7151, scimark_benchmark: 1865.4965, usercpu_time_millis: 11.192, usercpu_time_millis_testing: 0.593, usercpu_time_millis_training: 10.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9838, kappa: 0.836, kb_relative_information_score: 2981.9061, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9837, predictive_accuracy: 0.9843, prior_entropy: 0.3037, recall: 0.9843, relative_absolute_error: 0.2759, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.4808, scimark_benchmark: 1848.7357, usercpu_time_millis: 12.698, usercpu_time_millis_testing: 0.521, usercpu_time_millis_training: 12.177,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.9198, kb_relative_information_score: -1526.3433, mean_absolute_error: 0.0882, 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: 0.8625, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.8835, scimark_benchmark: 2152.1487, usercpu_time_millis: 7.421, usercpu_time_millis_testing: 0.653, usercpu_time_millis_training: 6.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9739, kappa: 0.726, kb_relative_information_score: 2090.3863, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9744, predictive_accuracy: 0.9758, prior_entropy: 0.3037, recall: 0.9758, relative_absolute_error: 0.3877, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.5688, scimark_benchmark: 1866.3284, usercpu_time_millis: 7.235, usercpu_time_millis_testing: 0.453, usercpu_time_millis_training: 6.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9821, kappa: 0.8202, kb_relative_information_score: 2608.4798, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.982, predictive_accuracy: 0.9826, prior_entropy: 0.3037, recall: 0.9826, relative_absolute_error: 0.3095, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.116, root_relative_squared_error: 0.5137, scimark_benchmark: 1843.7516, usercpu_time_millis: 0.866, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.9198, kb_relative_information_score: -1089.4941, 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: 0.9753, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.9786, scimark_benchmark: 1869.9448, usercpu_time_millis: 6.718, usercpu_time_millis_testing: 0.843, usercpu_time_millis_training: 5.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, f_measure: 0.9198, kb_relative_information_score: -28.3131, 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: 0.9996, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1866.1679, usercpu_time_millis: 0.519, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 0.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9833, kappa: 0.8338, kb_relative_information_score: 3233.1713, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9831, predictive_accuracy: 0.9835, prior_entropy: 0.3037, recall: 0.9835, relative_absolute_error: 0.2164, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.114, root_relative_squared_error: 0.5048, scimark_benchmark: 1874.5188, usercpu_time_millis: 62.214, usercpu_time_millis_testing: 1.742, usercpu_time_millis_training: 60.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9846, kappa: 0.8458, kb_relative_information_score: 3138.6304, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9845, predictive_accuracy: 0.9849, prior_entropy: 0.3037, recall: 0.9849, relative_absolute_error: 0.2422, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1072, root_relative_squared_error: 0.4744, scimark_benchmark: 1869.1727, usercpu_time_millis: 47.081, usercpu_time_millis_testing: 1.646, usercpu_time_millis_training: 45.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9844, kappa: 0.8434, kb_relative_information_score: 3055.3783, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9842, predictive_accuracy: 0.9847, prior_entropy: 0.3037, recall: 0.9847, relative_absolute_error: 0.2524, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1077, root_relative_squared_error: 0.4766, scimark_benchmark: 1792.7, usercpu_time_millis: 40.777, usercpu_time_millis_testing: 1.83, usercpu_time_millis_training: 38.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9838, kappa: 0.8373, kb_relative_information_score: 2989.5962, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9837, predictive_accuracy: 0.9843, prior_entropy: 0.3037, recall: 0.9843, relative_absolute_error: 0.2686, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.4785, scimark_benchmark: 1792.022, usercpu_time_millis: 34.184, usercpu_time_millis_testing: 1.733, usercpu_time_millis_training: 32.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.974, kappa: 0.7364, kb_relative_information_score: 2028.4667, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9736, predictive_accuracy: 0.975, prior_entropy: 0.3037, recall: 0.975, relative_absolute_error: 0.4098, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.5963, scimark_benchmark: 1790.3547, usercpu_time_millis: 31.203, usercpu_time_millis_testing: 1.155, usercpu_time_millis_training: 30.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.981, kappa: 0.8044, kb_relative_information_score: 2760.831, mean_absolute_error: 0.0339, 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: 0.3321, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1151, root_relative_squared_error: 0.5096, scimark_benchmark: 1790.7419, usercpu_time_millis: 31.218, usercpu_time_millis_testing: 1.798, usercpu_time_millis_training: 29.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9653, kappa: 0.6226, kb_relative_information_score: 934.4891, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9673, predictive_accuracy: 0.9694, prior_entropy: 0.3037, recall: 0.9694, relative_absolute_error: 0.6039, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.7027, scimark_benchmark: 1872.3546, usercpu_time_millis: 23.862, usercpu_time_millis_testing: 1.581, usercpu_time_millis_training: 22.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9836, kappa: 0.8361, kb_relative_information_score: 2842.3806, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9834, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2763, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.4933, scimark_benchmark: 1866.1582, usercpu_time_millis: 28.398, usercpu_time_millis_testing: 0.931, usercpu_time_millis_training: 27.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.98, kappa: 0.7929, kb_relative_information_score: 2372.4198, mean_absolute_error: 0.0374, 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: 0.3657, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.5389, scimark_benchmark: 1875.5079, usercpu_time_millis: 20.774, usercpu_time_millis_testing: 1.095, usercpu_time_millis_training: 19.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9826, kappa: 0.8229, kb_relative_information_score: 2928.272, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9826, predictive_accuracy: 0.9833, prior_entropy: 0.3037, recall: 0.9833, relative_absolute_error: 0.2923, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.4895, scimark_benchmark: 1871.9601, usercpu_time_millis: 18.367, usercpu_time_millis_testing: 0.998, usercpu_time_millis_training: 17.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.984, kappa: 0.8397, kb_relative_information_score: 3068.4934, mean_absolute_error: 0.0247, 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: 0.2415, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.108, root_relative_squared_error: 0.4783, scimark_benchmark: 1765.5269, usercpu_time_millis: 20.501, usercpu_time_millis_testing: 0.79, usercpu_time_millis_training: 19.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9841, kappa: 0.8403, kb_relative_information_score: 3089.3549, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.984, predictive_accuracy: 0.9845, prior_entropy: 0.3037, recall: 0.9845, relative_absolute_error: 0.2579, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.4797, scimark_benchmark: 1794.7702, usercpu_time_millis: 20.579, usercpu_time_millis_testing: 0.884, usercpu_time_millis_training: 19.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9723, kappa: 0.709, kb_relative_information_score: 1882.7726, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9727, predictive_accuracy: 0.9744, prior_entropy: 0.3037, recall: 0.9744, relative_absolute_error: 0.4413, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.134, root_relative_squared_error: 0.5934, scimark_benchmark: 1871.9601, usercpu_time_millis: 10.207, usercpu_time_millis_testing: 0.592, usercpu_time_millis_training: 9.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.984, kappa: 0.8391, kb_relative_information_score: 2977.0986, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.984, predictive_accuracy: 0.9845, prior_entropy: 0.3037, recall: 0.9845, relative_absolute_error: 0.2703, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.4801, scimark_benchmark: 1866.6776, usercpu_time_millis: 22.766, usercpu_time_millis_testing: 1.181, usercpu_time_millis_training: 21.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.958, kappa: 0.5364, kb_relative_information_score: 647.0681, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9597, predictive_accuracy: 0.9636, prior_entropy: 0.3037, recall: 0.9636, relative_absolute_error: 0.6855, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.7585, scimark_benchmark: 1877.289, usercpu_time_millis: 14.519, usercpu_time_millis_testing: 0.806, usercpu_time_millis_training: 13.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9831, kappa: 0.8307, kb_relative_information_score: 2870.4496, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9829, predictive_accuracy: 0.9835, prior_entropy: 0.3037, recall: 0.9835, relative_absolute_error: 0.2765, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1109, root_relative_squared_error: 0.4909, scimark_benchmark: 1871.8506, usercpu_time_millis: 11.498, usercpu_time_millis_testing: 0.597, usercpu_time_millis_training: 10.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9748, kappa: 0.7322, kb_relative_information_score: 2186.2344, mean_absolute_error: 0.0422, 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: 0.4125, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.5631, scimark_benchmark: 1867.1999, usercpu_time_millis: 9.262, usercpu_time_millis_testing: 0.474, usercpu_time_millis_training: 8.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9613, kappa: 0.568, kb_relative_information_score: 1048.0112, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9659, predictive_accuracy: 0.9671, prior_entropy: 0.3037, recall: 0.9671, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.6935, scimark_benchmark: 1871.9601, usercpu_time_millis: 11.171, usercpu_time_millis_testing: 0.816, usercpu_time_millis_training: 10.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9691, kappa: 0.6647, kb_relative_information_score: 1713.4498, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9713, predictive_accuracy: 0.9725, prior_entropy: 0.3037, recall: 0.9725, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.6181, scimark_benchmark: 1874.977, usercpu_time_millis: 6.387, usercpu_time_millis_testing: 0.454, usercpu_time_millis_training: 5.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9654, kappa: 0.6208, kb_relative_information_score: 1072.9673, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9684, predictive_accuracy: 0.9698, prior_entropy: 0.3037, recall: 0.9698, relative_absolute_error: 0.591, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.6928, scimark_benchmark: 1785.5638, usercpu_time_millis: 8.26, usercpu_time_millis_testing: 0.614, usercpu_time_millis_training: 7.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9823, kappa: 0.8189, kb_relative_information_score: 2586.6347, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9824, predictive_accuracy: 0.9831, prior_entropy: 0.3037, recall: 0.9831, relative_absolute_error: 0.327, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.117, root_relative_squared_error: 0.5179, scimark_benchmark: 1876.7581, usercpu_time_millis: 4.071, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 3.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9731, kappa: 0.7207, kb_relative_information_score: 1982.9685, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9731, predictive_accuracy: 0.9748, prior_entropy: 0.3037, recall: 0.9748, relative_absolute_error: 0.4235, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1318, root_relative_squared_error: 0.5835, scimark_benchmark: 1818.0391, usercpu_time_millis: 11.463, usercpu_time_millis_testing: 0.523, usercpu_time_millis_training: 10.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.9198, kb_relative_information_score: -1008.5193, 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: 0.9742, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.9776, scimark_benchmark: 1794.459, usercpu_time_millis: 7.753, usercpu_time_millis_testing: 0.875, usercpu_time_millis_training: 6.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9698, kappa: 0.6879, kb_relative_information_score: 1910.312, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9694, predictive_accuracy: 0.9715, prior_entropy: 0.3037, recall: 0.9715, relative_absolute_error: 0.4331, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.609, scimark_benchmark: 1841.2989, usercpu_time_millis: 7.329, usercpu_time_millis_testing: 0.267, usercpu_time_millis_training: 7.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.9687, kappa: 0.6714, kb_relative_information_score: 1010.2024, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9687, predictive_accuracy: 0.9711, prior_entropy: 0.3037, recall: 0.9711, relative_absolute_error: 0.5716, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.159, root_relative_squared_error: 0.7039, scimark_benchmark: 1872.4216, usercpu_time_millis: 3.588, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 3.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.9476, kappa: 0.3841, kb_relative_information_score: 300.7982, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9603, predictive_accuracy: 0.9593, prior_entropy: 0.3037, recall: 0.9593, relative_absolute_error: 0.711, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.7708, scimark_benchmark: 1868.7112, usercpu_time_millis: 2.545, usercpu_time_millis_testing: 0.128, usercpu_time_millis_training: 2.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.9198, kb_relative_information_score: -1280.0067, mean_absolute_error: 0.0979, 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: 0.9573, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.9632, scimark_benchmark: 1871.9601, usercpu_time_millis: 2.597, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 2.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9692, kappa: 0.6714, kb_relative_information_score: 1300.3027, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9702, predictive_accuracy: 0.9721, prior_entropy: 0.3037, recall: 0.9721, relative_absolute_error: 0.5124, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.6572, scimark_benchmark: 1863.4543, usercpu_time_millis: 2.673, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 2.523,

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