Task
Supervised Classification on credit-g

Supervised Classification on credit-g

Task 31 Supervised Classification credit-g 419022 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 python study_1 study_107 study_123 study_130 study_14 study_15 study_20 study_218 study_41 study_50 study_7 study_70 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.746, kappa: 0.371, kb_relative_information_score: 189.4856, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7539, predictive_accuracy: 0.766, prior_entropy: 0.8818, recall: 0.766, relative_absolute_error: 0.8103, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8767, scimark_benchmark: 1332.2377, usercpu_time_millis: 22.321, usercpu_time_millis_testing: 2.003, usercpu_time_millis_training: 20.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.7582, kappa: 0.406, kb_relative_information_score: 220.147, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7585, predictive_accuracy: 0.77, prior_entropy: 0.8818, recall: 0.77, relative_absolute_error: 0.771, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8825, scimark_benchmark: 1330.7349, usercpu_time_millis: 52.312, usercpu_time_millis_testing: 3.265, usercpu_time_millis_training: 49.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.7329, kappa: 0.3375, kb_relative_information_score: 189.5501, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7432, predictive_accuracy: 0.757, prior_entropy: 0.8818, recall: 0.757, relative_absolute_error: 0.8105, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.8786, scimark_benchmark: 1332.3816, usercpu_time_millis: 52.591, usercpu_time_millis_testing: 5.841, usercpu_time_millis_training: 46.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, f_measure: 0.7483, kappa: 0.3777, kb_relative_information_score: 199.3662, mean_absolute_error: 0.3359, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7535, predictive_accuracy: 0.766, prior_entropy: 0.8818, recall: 0.766, relative_absolute_error: 0.7993, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8765, scimark_benchmark: 1333.5108, usercpu_time_millis: 13.875, usercpu_time_millis_testing: 1.074, usercpu_time_millis_training: 12.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.7405, kappa: 0.3584, kb_relative_information_score: 193.7381, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7449, predictive_accuracy: 0.759, prior_entropy: 0.8818, recall: 0.759, relative_absolute_error: 0.8029, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.878, scimark_benchmark: 1320.4643, usercpu_time_millis: 15.723, usercpu_time_millis_testing: 1.278, usercpu_time_millis_training: 14.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.7568, kappa: 0.4033, kb_relative_information_score: 205.1448, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7565, predictive_accuracy: 0.768, prior_entropy: 0.8818, recall: 0.768, relative_absolute_error: 0.7827, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8877, scimark_benchmark: 1326.5044, usercpu_time_millis: 22.626, usercpu_time_millis_testing: 0.79, usercpu_time_millis_training: 21.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.7562, kappa: 0.4003, kb_relative_information_score: 204.9671, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7572, predictive_accuracy: 0.769, prior_entropy: 0.8818, recall: 0.769, relative_absolute_error: 0.7901, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8758, scimark_benchmark: 1318.474, usercpu_time_millis: 50.685, usercpu_time_millis_testing: 3.001, usercpu_time_millis_training: 47.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.7062, kappa: 0.2712, kb_relative_information_score: 151.9973, mean_absolute_error: 0.3585, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.743, predictive_accuracy: 0.749, prior_entropy: 0.8818, recall: 0.749, relative_absolute_error: 0.8533, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8919, scimark_benchmark: 1323.7002, usercpu_time_millis: 4.033, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 3.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, f_measure: 0.7305, kappa: 0.3311, kb_relative_information_score: 176.0075, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7423, predictive_accuracy: 0.756, prior_entropy: 0.8818, recall: 0.756, relative_absolute_error: 0.8256, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8815, scimark_benchmark: 1329.0141, usercpu_time_millis: 18.424, usercpu_time_millis_testing: 1.844, usercpu_time_millis_training: 16.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.7494, kappa: 0.3835, kb_relative_information_score: 205.5991, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7502, predictive_accuracy: 0.763, prior_entropy: 0.8818, recall: 0.763, relative_absolute_error: 0.7884, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8756, scimark_benchmark: 1330.2062, usercpu_time_millis: 35.57, usercpu_time_millis_testing: 1.961, usercpu_time_millis_training: 33.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.75, kappa: 0.3835, kb_relative_information_score: 212.198, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7522, predictive_accuracy: 0.765, prior_entropy: 0.8818, recall: 0.765, relative_absolute_error: 0.7828, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.8797, scimark_benchmark: 1327.3058, usercpu_time_millis: 50.327, usercpu_time_millis_testing: 3.525, usercpu_time_millis_training: 46.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.762, kappa: 0.4151, kb_relative_information_score: 207.2061, mean_absolute_error: 0.3306, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.763, predictive_accuracy: 0.774, prior_entropy: 0.8818, recall: 0.774, relative_absolute_error: 0.7869, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8762, scimark_benchmark: 1324.4024, usercpu_time_millis: 73.452, usercpu_time_millis_testing: 4.225, usercpu_time_millis_training: 69.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.7417, kappa: 0.361, kb_relative_information_score: 191.4636, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7474, predictive_accuracy: 0.761, prior_entropy: 0.8818, recall: 0.761, relative_absolute_error: 0.8033, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8805, scimark_benchmark: 1324.3186, usercpu_time_millis: 22.647, usercpu_time_millis_testing: 1.533, usercpu_time_millis_training: 21.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7948, f_measure: 0.7496, kappa: 0.3816, kb_relative_information_score: 200.9151, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7534, predictive_accuracy: 0.766, prior_entropy: 0.8818, recall: 0.766, relative_absolute_error: 0.7946, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.877, scimark_benchmark: 1328.0068, usercpu_time_millis: 28.402, usercpu_time_millis_testing: 2.11, usercpu_time_millis_training: 26.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.7533, kappa: 0.392, kb_relative_information_score: 199.3973, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7558, predictive_accuracy: 0.768, prior_entropy: 0.8818, recall: 0.768, relative_absolute_error: 0.7959, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8764, scimark_benchmark: 1314.1745, usercpu_time_millis: 41.492, usercpu_time_millis_testing: 2.71, usercpu_time_millis_training: 38.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, f_measure: 0.7454, kappa: 0.3689, kb_relative_information_score: 194.3096, mean_absolute_error: 0.3378, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7557, predictive_accuracy: 0.767, prior_entropy: 0.8818, recall: 0.767, relative_absolute_error: 0.804, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8783, scimark_benchmark: 1320.3828, usercpu_time_millis: 9.727, usercpu_time_millis_testing: 1.125, usercpu_time_millis_training: 8.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.668, kappa: 0.1873, kb_relative_information_score: 132.0218, mean_absolute_error: 0.367, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7566, predictive_accuracy: 0.737, prior_entropy: 0.8818, recall: 0.737, relative_absolute_error: 0.8735, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.414, root_relative_squared_error: 0.9035, scimark_benchmark: 1328.16, usercpu_time_millis: 18.979, usercpu_time_millis_testing: 2.187, usercpu_time_millis_training: 16.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.753, kappa: 0.3902, kb_relative_information_score: 201.0608, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.757, predictive_accuracy: 0.769, prior_entropy: 0.8818, recall: 0.769, relative_absolute_error: 0.7972, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8755, scimark_benchmark: 1325.5861, usercpu_time_millis: 18.314, usercpu_time_millis_testing: 1.256, usercpu_time_millis_training: 17.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7893, f_measure: 0.7613, kappa: 0.4127, kb_relative_information_score: 209.3821, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7629, predictive_accuracy: 0.774, prior_entropy: 0.8818, recall: 0.774, relative_absolute_error: 0.7819, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8813, scimark_benchmark: 1333.9742, usercpu_time_millis: 26.411, usercpu_time_millis_testing: 1.056, usercpu_time_millis_training: 25.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.7377, kappa: 0.3488, kb_relative_information_score: 182.7924, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.754, predictive_accuracy: 0.764, prior_entropy: 0.8818, recall: 0.764, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.8798, scimark_benchmark: 1334.5249, usercpu_time_millis: 28.256, usercpu_time_millis_testing: 2.483, usercpu_time_millis_training: 25.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, f_measure: 0.7496, kappa: 0.3816, kb_relative_information_score: 200.1437, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7534, predictive_accuracy: 0.766, prior_entropy: 0.8818, recall: 0.766, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8776, scimark_benchmark: 1317.7173, usercpu_time_millis: 28.134, usercpu_time_millis_testing: 1.889, usercpu_time_millis_training: 26.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7547, kappa: 0.3942, kb_relative_information_score: 197.1768, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7594, predictive_accuracy: 0.771, prior_entropy: 0.8818, recall: 0.771, relative_absolute_error: 0.7996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8762, scimark_benchmark: 1334.4554, usercpu_time_millis: 46.374, usercpu_time_millis_testing: 3.32, usercpu_time_millis_training: 43.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.7546, kappa: 0.3953, kb_relative_information_score: 202.1099, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.757, predictive_accuracy: 0.769, prior_entropy: 0.8818, recall: 0.769, relative_absolute_error: 0.795, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.401, root_relative_squared_error: 0.875, scimark_benchmark: 1326.6392, usercpu_time_millis: 44.649, usercpu_time_millis_testing: 3.204, usercpu_time_millis_training: 41.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.7582, kappa: 0.406, kb_relative_information_score: 210.3875, mean_absolute_error: 0.3279, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7585, predictive_accuracy: 0.77, prior_entropy: 0.8818, recall: 0.77, relative_absolute_error: 0.7805, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8806, scimark_benchmark: 1343.2825, usercpu_time_millis: 119.42, usercpu_time_millis_testing: 4.707, usercpu_time_millis_training: 114.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, f_measure: 0.7128, kappa: 0.2865, kb_relative_information_score: 165.1257, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7397, predictive_accuracy: 0.75, prior_entropy: 0.8818, recall: 0.75, relative_absolute_error: 0.8389, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.8865, scimark_benchmark: 1318.6511, usercpu_time_millis: 21.237, usercpu_time_millis_testing: 2.555, usercpu_time_millis_training: 18.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, f_measure: 0.7448, kappa: 0.3697, kb_relative_information_score: 209.7657, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7486, predictive_accuracy: 0.762, prior_entropy: 0.8818, recall: 0.762, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.8779, scimark_benchmark: 1320.0919, usercpu_time_millis: 21.327, usercpu_time_millis_testing: 1.99, usercpu_time_millis_training: 19.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.7516, kappa: 0.3916, kb_relative_information_score: 219.5957, mean_absolute_error: 0.3234, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7502, predictive_accuracy: 0.762, prior_entropy: 0.8818, recall: 0.762, relative_absolute_error: 0.7698, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8831, scimark_benchmark: 1335.5692, usercpu_time_millis: 51.533, usercpu_time_millis_testing: 2.212, usercpu_time_millis_training: 49.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7768, f_measure: 0.7499, kappa: 0.3901, kb_relative_information_score: 226.2621, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7474, predictive_accuracy: 0.758, prior_entropy: 0.8818, recall: 0.758, relative_absolute_error: 0.7538, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.41, root_relative_squared_error: 0.8947, scimark_benchmark: 1320.7737, usercpu_time_millis: 15.213, usercpu_time_millis_testing: 0.572, usercpu_time_millis_training: 14.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, f_measure: 0.7517, kappa: 0.3875, kb_relative_information_score: 213.6183, mean_absolute_error: 0.3288, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7546, predictive_accuracy: 0.767, prior_entropy: 0.8818, recall: 0.767, relative_absolute_error: 0.7826, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8771, scimark_benchmark: 1325.0291, usercpu_time_millis: 52.285, usercpu_time_millis_testing: 3.678, usercpu_time_millis_training: 48.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.7593, kappa: 0.4065, kb_relative_information_score: 203.2797, mean_absolute_error: 0.3334, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7628, predictive_accuracy: 0.774, prior_entropy: 0.8818, recall: 0.774, relative_absolute_error: 0.7935, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8751, scimark_benchmark: 1332.4529, usercpu_time_millis: 60.681, usercpu_time_millis_testing: 4.178, usercpu_time_millis_training: 56.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.7568, kappa: 0.3995, kb_relative_information_score: 201.9526, mean_absolute_error: 0.3346, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7618, predictive_accuracy: 0.773, prior_entropy: 0.8818, recall: 0.773, relative_absolute_error: 0.7965, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.8738, scimark_benchmark: 1312.1478, usercpu_time_millis: 47.502, usercpu_time_millis_testing: 3.497, usercpu_time_millis_training: 44.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.7351, kappa: 0.343, kb_relative_information_score: 170.3732, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7459, predictive_accuracy: 0.759, prior_entropy: 0.8818, recall: 0.759, relative_absolute_error: 0.828, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8855, scimark_benchmark: 1327.2568, usercpu_time_millis: 26.203, usercpu_time_millis_testing: 2.05, usercpu_time_millis_training: 24.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.7513, kappa: 0.3856, kb_relative_information_score: 188.8377, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7558, predictive_accuracy: 0.768, prior_entropy: 0.8818, recall: 0.768, relative_absolute_error: 0.8078, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8792, scimark_benchmark: 1328.9133, usercpu_time_millis: 37.481, usercpu_time_millis_testing: 2.376, usercpu_time_millis_training: 35.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.7443, kappa: 0.367, kb_relative_information_score: 197.5741, mean_absolute_error: 0.3368, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7513, predictive_accuracy: 0.764, prior_entropy: 0.8818, recall: 0.764, relative_absolute_error: 0.8016, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8768, scimark_benchmark: 1333.339, usercpu_time_millis: 37.926, usercpu_time_millis_testing: 3.023, usercpu_time_millis_training: 34.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.7478, kappa: 0.3763, kb_relative_information_score: 193.1067, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7535, predictive_accuracy: 0.766, prior_entropy: 0.8818, recall: 0.766, relative_absolute_error: 0.8079, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.877, scimark_benchmark: 1310.7341, usercpu_time_millis: 6.447, usercpu_time_millis_testing: 0.487, usercpu_time_millis_training: 5.96,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.7482, kappa: 0.377, kb_relative_information_score: 200.9705, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7549, predictive_accuracy: 0.767, prior_entropy: 0.8818, recall: 0.767, relative_absolute_error: 0.797, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8762, scimark_benchmark: 1318.0737, usercpu_time_millis: 41.312, usercpu_time_millis_testing: 3.318, usercpu_time_millis_training: 37.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.7474, kappa: 0.3763, kb_relative_information_score: 210.024, mean_absolute_error: 0.3316, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.751, predictive_accuracy: 0.764, prior_entropy: 0.8818, recall: 0.764, relative_absolute_error: 0.7892, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8729, scimark_benchmark: 1326.5426, usercpu_time_millis: 7.804, usercpu_time_millis_testing: 0.554, usercpu_time_millis_training: 7.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7861, f_measure: 0.7476, kappa: 0.3802, kb_relative_information_score: 217.6408, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7472, predictive_accuracy: 0.76, prior_entropy: 0.8818, recall: 0.76, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8837, scimark_benchmark: 1313.1071, usercpu_time_millis: 10.608, usercpu_time_millis_testing: 0.664, usercpu_time_millis_training: 9.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.7563, kappa: 0.3993, kb_relative_information_score: 204.562, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7593, predictive_accuracy: 0.771, prior_entropy: 0.8818, recall: 0.771, relative_absolute_error: 0.7897, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8772, scimark_benchmark: 1333.2288, usercpu_time_millis: 58.49, usercpu_time_millis_testing: 3.947, usercpu_time_millis_training: 54.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.7461, kappa: 0.375, kb_relative_information_score: 208.2941, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7467, predictive_accuracy: 0.76, prior_entropy: 0.8818, recall: 0.76, relative_absolute_error: 0.7842, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.8778, scimark_benchmark: 1306.1259, usercpu_time_millis: 6.579, usercpu_time_millis_testing: 0.492, usercpu_time_millis_training: 6.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7908, f_measure: 0.7622, kappa: 0.4168, kb_relative_information_score: 219.0414, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7622, predictive_accuracy: 0.773, prior_entropy: 0.8818, recall: 0.773, relative_absolute_error: 0.774, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.8778, scimark_benchmark: 1327.854, usercpu_time_millis: 78.179, usercpu_time_millis_testing: 4.133, usercpu_time_millis_training: 74.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.7469, kappa: 0.3737, kb_relative_information_score: 201.1747, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7537, predictive_accuracy: 0.766, prior_entropy: 0.8818, recall: 0.766, relative_absolute_error: 0.7969, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8757, scimark_benchmark: 1302.444, usercpu_time_millis: 40.143, usercpu_time_millis_testing: 3.105, usercpu_time_millis_training: 37.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.7284, kappa: 0.3253, kb_relative_information_score: 167.1438, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7493, predictive_accuracy: 0.759, prior_entropy: 0.8818, recall: 0.759, relative_absolute_error: 0.8343, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8852, scimark_benchmark: 1305.0369, usercpu_time_millis: 2.556, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 2.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, f_measure: 0.7486, kappa: 0.3815, kb_relative_information_score: 210.7509, mean_absolute_error: 0.3291, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7491, predictive_accuracy: 0.762, prior_entropy: 0.8818, recall: 0.762, relative_absolute_error: 0.7832, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8761, scimark_benchmark: 1303.1445, usercpu_time_millis: 9.174, usercpu_time_millis_testing: 0.517, usercpu_time_millis_training: 8.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7525, kappa: 0.3895, kb_relative_information_score: 204.0132, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7558, predictive_accuracy: 0.768, prior_entropy: 0.8818, recall: 0.768, relative_absolute_error: 0.7928, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8744, scimark_benchmark: 1302.0925, usercpu_time_millis: 13.525, usercpu_time_millis_testing: 1.028, usercpu_time_millis_training: 12.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7732, f_measure: 0.7453, kappa: 0.3763, kb_relative_information_score: 219.4537, mean_absolute_error: 0.3209, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7436, predictive_accuracy: 0.756, prior_entropy: 0.8818, recall: 0.756, relative_absolute_error: 0.7637, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.9033, scimark_benchmark: 1295.915, usercpu_time_millis: 1.776, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 1.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7769, f_measure: 0.7551, kappa: 0.4016, kb_relative_information_score: 225.4378, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7532, predictive_accuracy: 0.764, prior_entropy: 0.8818, recall: 0.764, relative_absolute_error: 0.755, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8937, scimark_benchmark: 1292.5154, usercpu_time_millis: 62.518, usercpu_time_millis_testing: 2.117, usercpu_time_millis_training: 60.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.7512, kappa: 0.3868, kb_relative_information_score: 200.1502, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7534, predictive_accuracy: 0.766, prior_entropy: 0.8818, recall: 0.766, relative_absolute_error: 0.7932, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8771, scimark_benchmark: 1307.8183, usercpu_time_millis: 22.014, usercpu_time_millis_testing: 1.139, usercpu_time_millis_training: 20.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, f_measure: 0.7478, kappa: 0.377, kb_relative_information_score: 201.4407, mean_absolute_error: 0.3347, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7522, predictive_accuracy: 0.765, prior_entropy: 0.8818, recall: 0.765, relative_absolute_error: 0.7965, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.401, root_relative_squared_error: 0.875, scimark_benchmark: 1301.2675, usercpu_time_millis: 10.674, usercpu_time_millis_testing: 0.973, usercpu_time_millis_training: 9.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7949, f_measure: 0.75, kappa: 0.3823, kb_relative_information_score: 192.6726, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7546, predictive_accuracy: 0.767, prior_entropy: 0.8818, recall: 0.767, relative_absolute_error: 0.8032, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8781, scimark_benchmark: 1303.4965, usercpu_time_millis: 16.269, usercpu_time_millis_testing: 1, usercpu_time_millis_training: 15.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.7338, kappa: 0.3407, kb_relative_information_score: 184.0879, mean_absolute_error: 0.3413, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7401, predictive_accuracy: 0.755, prior_entropy: 0.8818, recall: 0.755, relative_absolute_error: 0.8124, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8817, scimark_benchmark: 1314.1613, usercpu_time_millis: 18.855, usercpu_time_millis_testing: 1.304, usercpu_time_millis_training: 17.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.7047, kappa: 0.2674, kb_relative_information_score: 157.0376, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7416, predictive_accuracy: 0.748, prior_entropy: 0.8818, recall: 0.748, relative_absolute_error: 0.8475, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8899, scimark_benchmark: 1304.9774, usercpu_time_millis: 24.413, usercpu_time_millis_testing: 2.75, usercpu_time_millis_training: 21.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, f_measure: 0.7369, kappa: 0.3489, kb_relative_information_score: 185.4867, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7425, predictive_accuracy: 0.757, prior_entropy: 0.8818, recall: 0.757, relative_absolute_error: 0.8103, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8815, scimark_benchmark: 1306.0672, usercpu_time_millis: 24.718, usercpu_time_millis_testing: 1.789, usercpu_time_millis_training: 22.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.7513, kappa: 0.385, kb_relative_information_score: 194.1815, mean_absolute_error: 0.3363, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7572, predictive_accuracy: 0.769, prior_entropy: 0.8818, recall: 0.769, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8791, scimark_benchmark: 1291.2942, usercpu_time_millis: 15.639, usercpu_time_millis_testing: 0.913, usercpu_time_millis_training: 14.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.7569, kappa: 0.4028, kb_relative_information_score: 219.9532, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7573, predictive_accuracy: 0.769, prior_entropy: 0.8818, recall: 0.769, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8829, scimark_benchmark: 1308.6333, usercpu_time_millis: 64.945, usercpu_time_millis_testing: 3.829, usercpu_time_millis_training: 61.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.7543, kappa: 0.3935, kb_relative_information_score: 205.2888, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7581, predictive_accuracy: 0.77, prior_entropy: 0.8818, recall: 0.77, relative_absolute_error: 0.793, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4008, root_relative_squared_error: 0.8747, scimark_benchmark: 1309.5637, usercpu_time_millis: 65.725, usercpu_time_millis_testing: 4.702, usercpu_time_millis_training: 61.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.7274, kappa: 0.3227, kb_relative_information_score: 163.9833, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7457, predictive_accuracy: 0.757, prior_entropy: 0.8818, recall: 0.757, relative_absolute_error: 0.8391, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8857, scimark_benchmark: 1305.9466, usercpu_time_millis: 16.042, usercpu_time_millis_testing: 1.844, usercpu_time_millis_training: 14.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.7543, kappa: 0.3935, kb_relative_information_score: 204.5996, mean_absolute_error: 0.333, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7581, predictive_accuracy: 0.77, prior_entropy: 0.8818, recall: 0.77, relative_absolute_error: 0.7926, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8752, scimark_benchmark: 1298.2493, usercpu_time_millis: 51.248, usercpu_time_millis_testing: 3.581, usercpu_time_millis_training: 47.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.7513, kappa: 0.3862, kb_relative_information_score: 196.5851, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7546, predictive_accuracy: 0.767, prior_entropy: 0.8818, recall: 0.767, relative_absolute_error: 0.7969, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8789, scimark_benchmark: 1295.9, usercpu_time_millis: 15.3, usercpu_time_millis_testing: 0.882, usercpu_time_millis_training: 14.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7793, f_measure: 0.7582, kappa: 0.4119, kb_relative_information_score: 230.7516, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7559, predictive_accuracy: 0.765, prior_entropy: 0.8818, recall: 0.765, relative_absolute_error: 0.754, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.8953, scimark_benchmark: 1288.7718, usercpu_time_millis: 99.631, usercpu_time_millis_testing: 3.515, usercpu_time_millis_training: 96.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.7614, kappa: 0.4122, kb_relative_information_score: 204.1971, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.764, predictive_accuracy: 0.775, prior_entropy: 0.8818, recall: 0.775, relative_absolute_error: 0.7915, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.8759, scimark_benchmark: 1307.7872, usercpu_time_millis: 64.739, usercpu_time_millis_testing: 4.224, usercpu_time_millis_training: 60.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7198, kappa: 0.3041, kb_relative_information_score: 162.9672, mean_absolute_error: 0.3535, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7519, predictive_accuracy: 0.757, prior_entropy: 0.8818, recall: 0.757, relative_absolute_error: 0.8415, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8872, scimark_benchmark: 1306.2507, usercpu_time_millis: 7.288, usercpu_time_millis_testing: 0.933, usercpu_time_millis_training: 6.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.7614, kappa: 0.4122, kb_relative_information_score: 204.9818, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.764, predictive_accuracy: 0.775, prior_entropy: 0.8818, recall: 0.775, relative_absolute_error: 0.7905, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8752, scimark_benchmark: 1301.9517, usercpu_time_millis: 9.051, usercpu_time_millis_testing: 0.547, usercpu_time_millis_training: 8.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.7319, kappa: 0.3346, kb_relative_information_score: 167.9183, mean_absolute_error: 0.3494, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7436, predictive_accuracy: 0.757, prior_entropy: 0.8818, recall: 0.757, relative_absolute_error: 0.8316, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8856, scimark_benchmark: 1302.9861, usercpu_time_millis: 17.948, usercpu_time_millis_testing: 1.617, usercpu_time_millis_training: 16.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.7554, kappa: 0.4028, kb_relative_information_score: 225.352, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7535, predictive_accuracy: 0.764, prior_entropy: 0.8818, recall: 0.764, relative_absolute_error: 0.7627, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.889, scimark_benchmark: 1303.8492, usercpu_time_millis: 81.111, usercpu_time_millis_testing: 3.603, usercpu_time_millis_training: 77.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.7229, kappa: 0.3116, kb_relative_information_score: 167.9493, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.74, predictive_accuracy: 0.753, prior_entropy: 0.8818, recall: 0.753, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8849, scimark_benchmark: 1294.9274, usercpu_time_millis: 10.521, usercpu_time_millis_testing: 1.08, usercpu_time_millis_training: 9.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7946, f_measure: 0.7568, kappa: 0.3995, kb_relative_information_score: 201.5792, mean_absolute_error: 0.3346, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7618, predictive_accuracy: 0.773, prior_entropy: 0.8818, recall: 0.773, relative_absolute_error: 0.7963, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8761, scimark_benchmark: 1311.6509, usercpu_time_millis: 51.183, usercpu_time_millis_testing: 3.518, usercpu_time_millis_training: 47.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.7366, kappa: 0.3462, kb_relative_information_score: 182.0634, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7506, predictive_accuracy: 0.762, prior_entropy: 0.8818, recall: 0.762, relative_absolute_error: 0.8194, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8804, scimark_benchmark: 1311.3951, usercpu_time_millis: 66.433, usercpu_time_millis_testing: 6.028, usercpu_time_millis_training: 60.405,

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