Task
Supervised Classification on fri_c4_500_25

Supervised Classification on fri_c4_500_25

Task 3703 Supervised Classification fri_c4_500_25 554 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.8421, kappa: 0.6786, kb_relative_information_score: 304.0088, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8423, predictive_accuracy: 0.842, prior_entropy: 0.9867, recall: 0.842, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.7495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, f_measure: 0.6664, kappa: 0.3182, kb_relative_information_score: 99.6899, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6659, predictive_accuracy: 0.668, prior_entropy: 0.9867, recall: 0.668, relative_absolute_error: 0.8192, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.687, f_measure: 0.6656, kappa: 0.3157, kb_relative_information_score: 92.4108, mean_absolute_error: 0.4113, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6691, predictive_accuracy: 0.672, prior_entropy: 0.9867, recall: 0.672, relative_absolute_error: 0.838, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4711, root_relative_squared_error: 0.9511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.8513, kappa: 0.6961, kb_relative_information_score: 298.7105, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.852, predictive_accuracy: 0.852, prior_entropy: 0.9867, recall: 0.852, relative_absolute_error: 0.4272, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.6306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.6679, kappa: 0.3203, kb_relative_information_score: 122.453, mean_absolute_error: 0.3766, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6712, predictive_accuracy: 0.674, prior_entropy: 0.9867, recall: 0.674, relative_absolute_error: 0.7674, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4804, root_relative_squared_error: 0.9698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6344, f_measure: 0.6538, kappa: 0.2915, kb_relative_information_score: 107.5976, mean_absolute_error: 0.3931, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6564, predictive_accuracy: 0.66, prior_entropy: 0.9867, recall: 0.66, relative_absolute_error: 0.8009, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5089, root_relative_squared_error: 1.0274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8601, kappa: 0.7154, kb_relative_information_score: 350.9167, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8604, predictive_accuracy: 0.86, prior_entropy: 0.9867, recall: 0.86, relative_absolute_error: 0.2974, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.7283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, f_measure: 0.6919, kappa: 0.3698, kb_relative_information_score: 117.2484, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6919, predictive_accuracy: 0.694, prior_entropy: 0.9867, recall: 0.694, relative_absolute_error: 0.7874, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9119, kappa: 0.8203, kb_relative_information_score: 335.0039, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.9119, predictive_accuracy: 0.912, prior_entropy: 0.9867, recall: 0.912, relative_absolute_error: 0.3549, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.5536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7321, kappa: 0.4545, kb_relative_information_score: 217.2976, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.7323, predictive_accuracy: 0.732, prior_entropy: 0.9867, recall: 0.732, relative_absolute_error: 0.5639, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4748, root_relative_squared_error: 0.9584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7212, f_measure: 0.6724, kappa: 0.3294, kb_relative_information_score: 96.607, mean_absolute_error: 0.406, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6731, predictive_accuracy: 0.676, prior_entropy: 0.9867, recall: 0.676, relative_absolute_error: 0.8273, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.9317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7057, f_measure: 0.6606, kappa: 0.3053, kb_relative_information_score: 89.2922, mean_absolute_error: 0.4109, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6608, predictive_accuracy: 0.664, prior_entropy: 0.9867, recall: 0.664, relative_absolute_error: 0.8372, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6309, f_measure: 0.7212, kappa: 0.4294, kb_relative_information_score: 65.6053, mean_absolute_error: 0.4416, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.7224, predictive_accuracy: 0.724, prior_entropy: 0.9867, recall: 0.724, relative_absolute_error: 0.8998, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4849, root_relative_squared_error: 0.9789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, f_measure: 0.6663, kappa: 0.3205, kb_relative_information_score: 136.9268, mean_absolute_error: 0.357, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6666, predictive_accuracy: 0.666, prior_entropy: 0.9867, recall: 0.666, relative_absolute_error: 0.7274, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5124, root_relative_squared_error: 1.0345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8658, kappa: 0.7262, kb_relative_information_score: 319.1476, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8658, predictive_accuracy: 0.866, prior_entropy: 0.9867, recall: 0.866, relative_absolute_error: 0.3789, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.6306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8492, kappa: 0.6918, kb_relative_information_score: 223.6774, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 0.9867, recall: 0.85, relative_absolute_error: 0.6004, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.6956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.4115, kb_relative_information_score: -0.0675, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.3226, predictive_accuracy: 0.568, prior_entropy: 0.9867, recall: 0.568, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4954, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8066, f_measure: 0.7542, kappa: 0.4972, kb_relative_information_score: 179.3196, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.7549, predictive_accuracy: 0.756, prior_entropy: 0.9867, recall: 0.756, relative_absolute_error: 0.6629, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.8497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.8759, kappa: 0.7468, kb_relative_information_score: 342.6646, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8758, predictive_accuracy: 0.876, prior_entropy: 0.9867, recall: 0.876, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.288, root_relative_squared_error: 0.5814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.8303, kappa: 0.6549, kb_relative_information_score: 294.1917, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8309, predictive_accuracy: 0.83, prior_entropy: 0.9867, recall: 0.83, relative_absolute_error: 0.4203, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.7022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.8483, kappa: 0.6916, kb_relative_information_score: 333.6899, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.849, predictive_accuracy: 0.848, prior_entropy: 0.9867, recall: 0.848, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.7754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7117, f_measure: 0.6777, kappa: 0.3406, kb_relative_information_score: 101.3452, mean_absolute_error: 0.4006, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6776, predictive_accuracy: 0.68, prior_entropy: 0.9867, recall: 0.68, relative_absolute_error: 0.8161, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, f_measure: 0.673, kappa: 0.3309, kb_relative_information_score: 101.4866, mean_absolute_error: 0.4015, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6732, predictive_accuracy: 0.676, prior_entropy: 0.9867, recall: 0.676, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7276, f_measure: 0.6836, kappa: 0.3526, kb_relative_information_score: 108.0744, mean_absolute_error: 0.395, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6836, predictive_accuracy: 0.686, prior_entropy: 0.9867, recall: 0.686, relative_absolute_error: 0.8048, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.9237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.8095, kappa: 0.6109, kb_relative_information_score: 264.8382, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8095, predictive_accuracy: 0.81, prior_entropy: 0.9867, recall: 0.81, relative_absolute_error: 0.4861, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.7785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7404, f_measure: 0.7458, kappa: 0.4816, kb_relative_information_score: 239.0895, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.7456, predictive_accuracy: 0.746, prior_entropy: 0.9867, recall: 0.746, relative_absolute_error: 0.5175, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6499, f_measure: 0.6602, kappa: 0.3045, kb_relative_information_score: 154.876, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6607, predictive_accuracy: 0.664, prior_entropy: 0.9867, recall: 0.664, relative_absolute_error: 0.6846, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.1702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6399, f_measure: 0.6495, kappa: 0.2829, kb_relative_information_score: 142.5521, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.649, predictive_accuracy: 0.652, prior_entropy: 0.9867, recall: 0.652, relative_absolute_error: 0.7091, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5899, root_relative_squared_error: 1.1909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.8576, kappa: 0.7092, kb_relative_information_score: 241.6584, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8578, predictive_accuracy: 0.858, prior_entropy: 0.9867, recall: 0.858, relative_absolute_error: 0.5617, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, f_measure: 0.6693, kappa: 0.3249, kb_relative_information_score: 99.0891, mean_absolute_error: 0.403, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6688, predictive_accuracy: 0.67, prior_entropy: 0.9867, recall: 0.67, relative_absolute_error: 0.8211, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.8483, kappa: 0.6916, kb_relative_information_score: 333.6899, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.849, predictive_accuracy: 0.848, prior_entropy: 0.9867, recall: 0.848, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.7754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7117, f_measure: 0.6777, kappa: 0.3406, kb_relative_information_score: 101.3452, mean_absolute_error: 0.4006, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6776, predictive_accuracy: 0.68, prior_entropy: 0.9867, recall: 0.68, relative_absolute_error: 0.8161, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.737, f_measure: 0.6919, kappa: 0.3694, kb_relative_information_score: 95.8719, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6938, predictive_accuracy: 0.696, prior_entropy: 0.9867, recall: 0.696, relative_absolute_error: 0.8336, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8246, kappa: 0.6445, kb_relative_information_score: 216.6338, mean_absolute_error: 0.2944, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8269, predictive_accuracy: 0.824, prior_entropy: 0.9867, recall: 0.824, relative_absolute_error: 0.5999, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.7393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.8381, kappa: 0.6704, kb_relative_information_score: 333.573, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8383, predictive_accuracy: 0.838, prior_entropy: 0.9867, recall: 0.838, relative_absolute_error: 0.3301, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.8545, kappa: 0.705, kb_relative_information_score: 350.0049, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8565, predictive_accuracy: 0.854, prior_entropy: 0.9867, recall: 0.854, relative_absolute_error: 0.2975, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3821, root_relative_squared_error: 0.7714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.87, kappa: 0.735, kb_relative_information_score: 366.4368, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8699, predictive_accuracy: 0.87, prior_entropy: 0.9867, recall: 0.87, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.8699, kappa: 0.7347, kb_relative_information_score: 366.4368, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8698, predictive_accuracy: 0.87, prior_entropy: 0.9867, recall: 0.87, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.8632, kappa: 0.7204, kb_relative_information_score: 360.2748, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8643, predictive_accuracy: 0.864, prior_entropy: 0.9867, recall: 0.864, relative_absolute_error: 0.2771, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6762, f_measure: 0.6872, kappa: 0.3596, kb_relative_information_score: 183.6319, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6898, predictive_accuracy: 0.692, prior_entropy: 0.9867, recall: 0.692, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.555, root_relative_squared_error: 1.1204, scimark_benchmark: 1959.6455, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.576, f_measure: 0.587, kappa: 0.1546, kb_relative_information_score: 80.9325, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.5863, predictive_accuracy: 0.592, prior_entropy: 0.9867, recall: 0.592, relative_absolute_error: 0.8313, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6387, root_relative_squared_error: 1.2895, scimark_benchmark: 1959.6455, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6787, f_measure: 0.6907, kappa: 0.3674, kb_relative_information_score: 189.7938, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6975, predictive_accuracy: 0.698, prior_entropy: 0.9867, recall: 0.698, relative_absolute_error: 0.6153, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5495, root_relative_squared_error: 1.1094, scimark_benchmark: 1631.1992, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6597, f_measure: 0.645, kappa: 0.275, kb_relative_information_score: 95.6662, mean_absolute_error: 0.4043, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6444, predictive_accuracy: 0.646, prior_entropy: 0.9867, recall: 0.646, relative_absolute_error: 0.8239, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4965, root_relative_squared_error: 1.0023, scimark_benchmark: 1357.7033, usercpu_time_millis: 2940, usercpu_time_millis_training: 2940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.576, f_measure: 0.587, kappa: 0.1546, kb_relative_information_score: 80.9325, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.5863, predictive_accuracy: 0.592, prior_entropy: 0.9867, recall: 0.592, relative_absolute_error: 0.8313, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6387, root_relative_squared_error: 1.2895, scimark_benchmark: 1336.3459, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6762, f_measure: 0.6872, kappa: 0.3596, kb_relative_information_score: 183.6319, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6898, predictive_accuracy: 0.692, prior_entropy: 0.9867, recall: 0.692, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.555, root_relative_squared_error: 1.1204, scimark_benchmark: 1580.9655, usercpu_time_millis: 150, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7117, f_measure: 0.6777, kappa: 0.3406, kb_relative_information_score: 101.3452, mean_absolute_error: 0.4006, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6776, predictive_accuracy: 0.68, prior_entropy: 0.9867, recall: 0.68, relative_absolute_error: 0.8161, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9382, scimark_benchmark: 1307.5464, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.607, f_measure: 0.6141, kappa: 0.2139, kb_relative_information_score: 103.1572, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6142, predictive_accuracy: 0.614, prior_entropy: 0.9867, recall: 0.614, relative_absolute_error: 0.7875, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6199, root_relative_squared_error: 1.2515, scimark_benchmark: 1350.8639, usercpu_time_millis: 80, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6308, f_measure: 0.642, kappa: 0.2729, kb_relative_information_score: 148.7141, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6583, predictive_accuracy: 0.658, prior_entropy: 0.9867, recall: 0.658, relative_absolute_error: 0.6968, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5848, root_relative_squared_error: 1.1806, scimark_benchmark: 1618.1738, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.8199, kappa: 0.6328, kb_relative_information_score: 280.1388, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8198, predictive_accuracy: 0.82, prior_entropy: 0.9867, recall: 0.82, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7594, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8638, kappa: 0.722, kb_relative_information_score: 241.5642, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8638, predictive_accuracy: 0.864, prior_entropy: 0.9867, recall: 0.864, relative_absolute_error: 0.5626, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3308, root_relative_squared_error: 0.6678, scimark_benchmark: 1925.3565, usercpu_time_millis: 187.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 156.25,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.8483, kappa: 0.6916, kb_relative_information_score: 333.6899, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.849, predictive_accuracy: 0.848, prior_entropy: 0.9867, recall: 0.848, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.7754, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7117, f_measure: 0.6777, kappa: 0.3406, kb_relative_information_score: 101.3452, mean_absolute_error: 0.4006, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6776, predictive_accuracy: 0.68, prior_entropy: 0.9867, recall: 0.68, relative_absolute_error: 0.8161, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9382, scimark_benchmark: 1925.3565,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6625, f_measure: 0.6506, kappa: 0.2861, kb_relative_information_score: 97.0693, mean_absolute_error: 0.4033, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.65, predictive_accuracy: 0.652, prior_entropy: 0.9867, recall: 0.652, relative_absolute_error: 0.8218, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.993, scimark_benchmark: 1925.3565, usercpu_time_millis: 218.75, usercpu_time_millis_training: 218.75,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8756, kappa: 0.7459, kb_relative_information_score: 243.1361, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8759, predictive_accuracy: 0.876, prior_entropy: 0.9867, recall: 0.876, relative_absolute_error: 0.5597, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6667, scimark_benchmark: 1892.0925, usercpu_time_millis: 171.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 156.25,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.828, kappa: 0.6495, kb_relative_information_score: 283.6166, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.828, predictive_accuracy: 0.828, prior_entropy: 0.9867, recall: 0.828, relative_absolute_error: 0.4551, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.7672, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7213, f_measure: 0.7029, kappa: 0.3918, kb_relative_information_score: 121.0503, mean_absolute_error: 0.3843, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.704, predictive_accuracy: 0.706, prior_entropy: 0.9867, recall: 0.706, relative_absolute_error: 0.7831, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9189, scimark_benchmark: 1788.6668, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7206, f_measure: 0.6609, kappa: 0.3061, kb_relative_information_score: 86.2265, mean_absolute_error: 0.4149, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.661, predictive_accuracy: 0.664, prior_entropy: 0.9867, recall: 0.664, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.9254, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6434, f_measure: 0.6532, kappa: 0.2904, kb_relative_information_score: 146.6601, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6529, predictive_accuracy: 0.656, prior_entropy: 0.9867, recall: 0.656, relative_absolute_error: 0.7009, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5865, root_relative_squared_error: 1.184, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, f_measure: 0.6687, kappa: 0.3219, kb_relative_information_score: 163.092, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6691, predictive_accuracy: 0.672, prior_entropy: 0.9867, recall: 0.672, relative_absolute_error: 0.6683, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5727, root_relative_squared_error: 1.1562, scimark_benchmark: 1516.6872, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.6804, kappa: 0.3466, kb_relative_information_score: 100.4427, mean_absolute_error: 0.4009, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.68, predictive_accuracy: 0.682, prior_entropy: 0.9867, recall: 0.682, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9295, scimark_benchmark: 1065.8113, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.8421, kappa: 0.6786, kb_relative_information_score: 304.0088, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8423, predictive_accuracy: 0.842, prior_entropy: 0.9867, recall: 0.842, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.7495, scimark_benchmark: 981.4163, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.8665, kappa: 0.7295, kb_relative_information_score: 301.7858, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8689, predictive_accuracy: 0.866, prior_entropy: 0.9867, recall: 0.866, relative_absolute_error: 0.4163, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.6382, scimark_benchmark: 1447.2612, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.8287, kappa: 0.6586, kb_relative_information_score: 322.7709, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8446, predictive_accuracy: 0.828, prior_entropy: 0.9867, recall: 0.828, relative_absolute_error: 0.3519, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7104, scimark_benchmark: 1840.6094, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6595, f_measure: 0.5961, kappa: 0.2402, kb_relative_information_score: 104.2178, mean_absolute_error: 0.3853, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6539, predictive_accuracy: 0.604, prior_entropy: 0.9867, recall: 0.604, relative_absolute_error: 0.785, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5169, root_relative_squared_error: 1.0435, scimark_benchmark: 1840.6094, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.6474, kappa: 0.2803, kb_relative_information_score: 72.0027, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6469, predictive_accuracy: 0.648, prior_entropy: 0.9867, recall: 0.648, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4672, root_relative_squared_error: 0.9432, scimark_benchmark: 1873.1108, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 78.125, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.862, kappa: 0.719, kb_relative_information_score: 315.8456, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8621, predictive_accuracy: 0.862, prior_entropy: 0.9867, recall: 0.862, relative_absolute_error: 0.3812, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.6391, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.6538, kappa: 0.2915, kb_relative_information_score: 91.7327, mean_absolute_error: 0.4073, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6564, predictive_accuracy: 0.66, prior_entropy: 0.9867, recall: 0.66, relative_absolute_error: 0.8299, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4754, root_relative_squared_error: 0.9598, scimark_benchmark: 1873.1108, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.739, kappa: 0.4657, kb_relative_information_score: 234.9816, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.7411, predictive_accuracy: 0.742, prior_entropy: 0.9867, recall: 0.742, relative_absolute_error: 0.5257, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5079, root_relative_squared_error: 1.0254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6198, f_measure: 0.6312, kappa: 0.2452, kb_relative_information_score: 128.1742, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6332, predictive_accuracy: 0.638, prior_entropy: 0.9867, recall: 0.638, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6017, root_relative_squared_error: 1.2146, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6308, f_measure: 0.642, kappa: 0.2729, kb_relative_information_score: 148.7141, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6583, predictive_accuracy: 0.658, prior_entropy: 0.9867, recall: 0.658, relative_absolute_error: 0.6968, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5848, root_relative_squared_error: 1.1806, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.8481, kappa: 0.6906, kb_relative_information_score: 299.0667, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8482, predictive_accuracy: 0.848, prior_entropy: 0.9867, recall: 0.848, relative_absolute_error: 0.425, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7122, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.8199, kappa: 0.6328, kb_relative_information_score: 279.8573, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8198, predictive_accuracy: 0.82, prior_entropy: 0.9867, recall: 0.82, relative_absolute_error: 0.46, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.7587, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7278, f_measure: 0.6668, kappa: 0.3181, kb_relative_information_score: 95.8028, mean_absolute_error: 0.407, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.667, predictive_accuracy: 0.67, prior_entropy: 0.9867, recall: 0.67, relative_absolute_error: 0.8292, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.925, scimark_benchmark: 1870.7932,

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