Task
Supervised Classification on yeast_ml8

Supervised Classification on yeast_ml8

Task 3488 Supervised Classification yeast_ml8 139 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.601, f_measure: 0.9789, kb_relative_information_score: -4449.7734, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.895, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.118, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4643, f_measure: 0.9789, kb_relative_information_score: -1787.3515, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 1.0296, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1178, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.9782, kappa: 0.0409, kb_relative_information_score: -3734.4799, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.974, predictive_accuracy: 0.983, prior_entropy: 0.1091, recall: 0.983, relative_absolute_error: 0.808, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1203, root_relative_squared_error: 1.0211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5108, f_measure: 0.9785, kappa: -0.0016, kb_relative_information_score: -37.0933, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9851, prior_entropy: 0.1091, recall: 0.9851, relative_absolute_error: 0.9493, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1191, root_relative_squared_error: 1.0116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4643, f_measure: 0.9789, kb_relative_information_score: -287.5352, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1178, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6448, f_measure: 0.9711, kappa: 0.0352, kb_relative_information_score: -3805.139, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9733, predictive_accuracy: 0.969, prior_entropy: 0.1091, recall: 0.969, relative_absolute_error: 1.0966, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1414, root_relative_squared_error: 1.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5124, f_measure: 0.9785, kappa: -0.0016, kb_relative_information_score: 279.3982, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9851, prior_entropy: 0.1091, recall: 0.9851, relative_absolute_error: 0.528, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1209, root_relative_squared_error: 1.0263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.9733, kappa: 0.0911, kb_relative_information_score: -2514.4457, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9748, predictive_accuracy: 0.9719, prior_entropy: 0.1091, recall: 0.9719, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1525, root_relative_squared_error: 1.2948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.9789, kb_relative_information_score: -8448.4382, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.9789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.9789, kb_relative_information_score: -12453.9887, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 1.2231, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1164, root_relative_squared_error: 0.9885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.9789, kb_relative_information_score: -7190.5099, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.9241, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.9743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4643, f_measure: 0.9789, kb_relative_information_score: -287.5352, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1178, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7681, f_measure: 0.9789, kb_relative_information_score: -4261.5813, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.8902, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1223, root_relative_squared_error: 1.0383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5981, f_measure: 0.9789, kb_relative_information_score: 6.0125, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.5325, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.9789, kb_relative_information_score: -5427.4869, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.9616, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1195, root_relative_squared_error: 1.0146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6364, f_measure: 0.9789, kb_relative_information_score: -477.1373, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.9862, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1175, root_relative_squared_error: 0.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4643, f_measure: 0.9789, kb_relative_information_score: -287.5352, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1178, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.9789, kb_relative_information_score: -6848.7757, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.8897, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1149, root_relative_squared_error: 0.9757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4643, f_measure: 0.9789, kb_relative_information_score: 12.6272, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1178, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.9789, kb_relative_information_score: -9222.6587, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1152, root_relative_squared_error: 0.9781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.9637, kappa: 0.1521, kb_relative_information_score: -11897.2658, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9781, predictive_accuracy: 0.9516, prior_entropy: 0.1091, recall: 0.9516, relative_absolute_error: 2.1095, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1871, root_relative_squared_error: 1.5887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9789, kb_relative_information_score: 452.551, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.5001, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1186, root_relative_squared_error: 1.0071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.9797, kappa: 0.2239, kb_relative_information_score: -2478.5832, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9786, predictive_accuracy: 0.981, prior_entropy: 0.1091, recall: 0.981, relative_absolute_error: 0.8862, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1331, root_relative_squared_error: 1.1301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7786, f_measure: 0.9473, kappa: 0.1153, kb_relative_information_score: -11177.225, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9787, predictive_accuracy: 0.9214, prior_entropy: 0.1091, recall: 0.9214, relative_absolute_error: 2.8445, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.2623, root_relative_squared_error: 2.2276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.973, kappa: 0.1283, kb_relative_information_score: -2232.7798, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.976, predictive_accuracy: 0.9702, prior_entropy: 0.1091, recall: 0.9702, relative_absolute_error: 1.0842, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1674, root_relative_squared_error: 1.4215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9789, kb_relative_information_score: 452.551, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.5001, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1186, root_relative_squared_error: 1.0071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, f_measure: 0.9789, kb_relative_information_score: -13559.3203, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 1.8496, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1386, root_relative_squared_error: 1.1772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.9789, kb_relative_information_score: -7963.4237, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.9819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7804, f_measure: 0.9793, kappa: 0.1976, kb_relative_information_score: -2475.2292, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9779, predictive_accuracy: 0.981, prior_entropy: 0.1091, recall: 0.981, relative_absolute_error: 0.8864, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1336, root_relative_squared_error: 1.1343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.9776, kappa: 0.0716, kb_relative_information_score: -2105.4002, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9746, predictive_accuracy: 0.981, prior_entropy: 0.1091, recall: 0.981, relative_absolute_error: 0.8085, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1335, root_relative_squared_error: 1.1336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9789, kb_relative_information_score: 452.551, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.5001, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1186, root_relative_squared_error: 1.0071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.9473, kappa: 0.1153, kb_relative_information_score: -11176.8736, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9787, predictive_accuracy: 0.9214, prior_entropy: 0.1091, recall: 0.9214, relative_absolute_error: 2.8449, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.2623, root_relative_squared_error: 2.2276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.9789, kb_relative_information_score: -5568.2186, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.9171, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5822, f_measure: 0.9789, kb_relative_information_score: -8370.0604, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 1.0634, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1234, root_relative_squared_error: 1.0479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5376, f_measure: 0.9743, kappa: 0.0752, kb_relative_information_score: -1120.6082, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9743, predictive_accuracy: 0.9743, prior_entropy: 0.1091, recall: 0.9743, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1602, root_relative_squared_error: 1.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9789, kb_relative_information_score: 452.551, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.5001, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1186, root_relative_squared_error: 1.0071, scimark_benchmark: 1697.6783, usercpu_time_millis: 1250, usercpu_time_millis_testing: 375, usercpu_time_millis_training: 875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9789, kb_relative_information_score: 452.551, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.5001, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1186, root_relative_squared_error: 1.0071, scimark_benchmark: 1862.8608, usercpu_time_millis: 1828.125, usercpu_time_millis_testing: 578.125, usercpu_time_millis_training: 1250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9789, kb_relative_information_score: 452.551, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.5001, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1186, root_relative_squared_error: 1.0071, scimark_benchmark: 1365.6387, usercpu_time_millis: 1960, usercpu_time_millis_testing: 630, usercpu_time_millis_training: 1330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9789, kb_relative_information_score: 452.551, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.5001, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1186, root_relative_squared_error: 1.0071, scimark_benchmark: 1666.2018, usercpu_time_millis: 1550, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 1060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7544, f_measure: 0.9786, kappa: 0.1866, kb_relative_information_score: -671.5649, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9775, predictive_accuracy: 0.9797, prior_entropy: 0.1091, recall: 0.9797, relative_absolute_error: 0.819, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1369, root_relative_squared_error: 1.1622, scimark_benchmark: 1918.4916, usercpu_time_millis: 37734.375, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 37671.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.9777, kappa: 0.1534, kb_relative_information_score: -875.538, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9766, predictive_accuracy: 0.9789, prior_entropy: 0.1091, recall: 0.9789, relative_absolute_error: 0.7499, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1367, root_relative_squared_error: 1.1603, scimark_benchmark: 1918.4916, usercpu_time_millis: 54421.875, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 54359.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9789, kb_relative_information_score: 452.551, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.5001, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1186, root_relative_squared_error: 1.0071, scimark_benchmark: 1854.0453, usercpu_time_millis: 1046.875, usercpu_time_millis_testing: 328.125, usercpu_time_millis_training: 718.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9789, kb_relative_information_score: 452.551, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.5001, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1186, root_relative_squared_error: 1.0071, scimark_benchmark: 1742.8208, usercpu_time_millis: 953.125, usercpu_time_millis_testing: 359.375, usercpu_time_millis_training: 593.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9789, kb_relative_information_score: 452.551, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.5001, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1186, root_relative_squared_error: 1.0071, scimark_benchmark: 1377.4309, usercpu_time_millis: 2000, usercpu_time_millis_testing: 531.25, usercpu_time_millis_training: 1468.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.9782, kappa: 0.1595, kb_relative_information_score: -770.3264, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9768, predictive_accuracy: 0.9797, prior_entropy: 0.1091, recall: 0.9797, relative_absolute_error: 0.7218, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1336, root_relative_squared_error: 1.1345, scimark_benchmark: 1313.2074, usercpu_time_millis: 159920, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 159700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.978, kappa: 0.1564, kb_relative_information_score: -1297.3783, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9767, predictive_accuracy: 0.9793, prior_entropy: 0.1091, recall: 0.9793, relative_absolute_error: 0.763, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1326, root_relative_squared_error: 1.1262, scimark_benchmark: 1416.417, usercpu_time_millis: 7265.625, usercpu_time_millis_testing: 93.75, usercpu_time_millis_training: 7171.875,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.9473, kappa: 0.1153, kb_relative_information_score: -11176.8736, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9787, predictive_accuracy: 0.9214, prior_entropy: 0.1091, recall: 0.9214, relative_absolute_error: 2.8449, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.2623, root_relative_squared_error: 2.2276, scimark_benchmark: 1140.5984, usercpu_time_millis: 260, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9789, kb_relative_information_score: 452.551, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.5001, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1186, root_relative_squared_error: 1.0071, scimark_benchmark: 1032.3359, usercpu_time_millis: 430, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5134, f_measure: 0.9786, kappa: 0.0442, kb_relative_information_score: 171.6297, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9744, predictive_accuracy: 0.9839, prior_entropy: 0.1091, recall: 0.9839, relative_absolute_error: 0.5736, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.127, root_relative_squared_error: 1.0786, scimark_benchmark: 1618.1738, usercpu_time_millis: 453.125, usercpu_time_millis_training: 453.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7582, f_measure: 0.9786, kappa: 0.1866, kb_relative_information_score: -825.3931, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9775, predictive_accuracy: 0.9797, prior_entropy: 0.1091, recall: 0.9797, relative_absolute_error: 0.8379, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1368, root_relative_squared_error: 1.1619, scimark_benchmark: 1744.8652, usercpu_time_millis: 3281.25, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 3218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6005, f_measure: 0.9684, kappa: 0.1285, kb_relative_information_score: -2971.7386, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9765, predictive_accuracy: 0.9611, prior_entropy: 0.1091, recall: 0.9611, relative_absolute_error: 1.3743, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1953, root_relative_squared_error: 1.6585, scimark_benchmark: 1744.8652, usercpu_time_millis: 375, usercpu_time_millis_training: 375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5534, f_measure: 0.9761, kappa: 0.1133, kb_relative_information_score: -797.4913, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9754, predictive_accuracy: 0.9768, prior_entropy: 0.1091, recall: 0.9768, relative_absolute_error: 0.8392, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1521, root_relative_squared_error: 1.2919, scimark_benchmark: 1744.8652, usercpu_time_millis: 765.625, usercpu_time_millis_testing: 703.125, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.9783, kappa: -0.0023, kb_relative_information_score: -1216.2014, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.972, predictive_accuracy: 0.9847, prior_entropy: 0.1091, recall: 0.9847, relative_absolute_error: 0.6505, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1189, root_relative_squared_error: 1.0094, scimark_benchmark: 1744.8652, usercpu_time_millis: 6515.625, usercpu_time_millis_training: 6515.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4727, f_measure: 0.9787, kappa: -0.0008, kb_relative_information_score: -15.7335, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9855, prior_entropy: 0.1091, recall: 0.9855, relative_absolute_error: 0.9723, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1183, root_relative_squared_error: 1.0047, scimark_benchmark: 1744.8652, usercpu_time_millis: 500, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5107, f_measure: 0.9785, kappa: -0.0016, kb_relative_information_score: -884.6971, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9851, prior_entropy: 0.1091, recall: 0.9851, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1194, root_relative_squared_error: 1.014, scimark_benchmark: 1744.8652, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.9789, kb_relative_information_score: -7786.9269, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.9818, scimark_benchmark: 1744.8652, usercpu_time_millis: 843.75, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 781.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4643, f_measure: 0.9789, kb_relative_information_score: -287.5352, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1178, root_relative_squared_error: 1, scimark_benchmark: 1744.8652, usercpu_time_millis: 203.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8066, f_measure: 0.9792, kappa: 0.2158, kb_relative_information_score: -2604.6526, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9783, predictive_accuracy: 0.9801, prior_entropy: 0.1091, recall: 0.9801, relative_absolute_error: 0.9132, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1365, root_relative_squared_error: 1.1594, scimark_benchmark: 1744.8652, usercpu_time_millis: 171.875, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.9473, kappa: 0.1153, kb_relative_information_score: -11176.8736, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9787, predictive_accuracy: 0.9214, prior_entropy: 0.1091, recall: 0.9214, relative_absolute_error: 2.8449, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.2623, root_relative_squared_error: 2.2276, scimark_benchmark: 1744.8652, usercpu_time_millis: 203.125, usercpu_time_millis_testing: 93.75, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9789, kb_relative_information_score: 452.551, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.5001, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1186, root_relative_squared_error: 1.0071, scimark_benchmark: 1744.8652, usercpu_time_millis: 203.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5134, f_measure: 0.9786, kappa: 0.0442, kb_relative_information_score: 171.6297, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9744, predictive_accuracy: 0.9839, prior_entropy: 0.1091, recall: 0.9839, relative_absolute_error: 0.5736, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.127, root_relative_squared_error: 1.0786, scimark_benchmark: 1744.8652, usercpu_time_millis: 406.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 390.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.9783, kappa: 0.1832, kb_relative_information_score: -894.3154, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9774, predictive_accuracy: 0.9793, prior_entropy: 0.1091, recall: 0.9793, relative_absolute_error: 0.8389, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1363, root_relative_squared_error: 1.1571, scimark_benchmark: 1744.8652, usercpu_time_millis: 3343.75, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 3281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6005, f_measure: 0.9684, kappa: 0.1285, kb_relative_information_score: -2971.7387, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9765, predictive_accuracy: 0.9611, prior_entropy: 0.1091, recall: 0.9611, relative_absolute_error: 1.3743, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1953, root_relative_squared_error: 1.6585, scimark_benchmark: 1744.8652, usercpu_time_millis: 375, usercpu_time_millis_training: 375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5534, f_measure: 0.9761, kappa: 0.1133, kb_relative_information_score: -797.4913, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9754, predictive_accuracy: 0.9768, prior_entropy: 0.1091, recall: 0.9768, relative_absolute_error: 0.8392, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1521, root_relative_squared_error: 1.2919, scimark_benchmark: 1744.8652, usercpu_time_millis: 734.375, usercpu_time_millis_testing: 671.875, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.9783, kappa: -0.0023, kb_relative_information_score: -1216.2014, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.972, predictive_accuracy: 0.9847, prior_entropy: 0.1091, recall: 0.9847, relative_absolute_error: 0.6505, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1189, root_relative_squared_error: 1.0094, scimark_benchmark: 1744.8652, usercpu_time_millis: 6265.625, usercpu_time_millis_training: 6265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4685, f_measure: 0.9779, kappa: -0.0036, kb_relative_information_score: -220.3679, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.972, predictive_accuracy: 0.9839, prior_entropy: 0.1091, recall: 0.9839, relative_absolute_error: 1.0094, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1243, root_relative_squared_error: 1.0558, scimark_benchmark: 1744.8652, usercpu_time_millis: 500, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5107, f_measure: 0.9785, kappa: -0.0016, kb_relative_information_score: -884.6971, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9851, prior_entropy: 0.1091, recall: 0.9851, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1194, root_relative_squared_error: 1.014, scimark_benchmark: 1744.8652, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.9789, kb_relative_information_score: -7538.1573, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1166, root_relative_squared_error: 0.9904, scimark_benchmark: 1744.8652, usercpu_time_millis: 1093.75, usercpu_time_millis_testing: 93.75, usercpu_time_millis_training: 1000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4643, f_measure: 0.9789, kb_relative_information_score: -287.5352, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1178, root_relative_squared_error: 1, scimark_benchmark: 1744.8652, usercpu_time_millis: 203.125, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8066, f_measure: 0.9792, kappa: 0.2158, kb_relative_information_score: -2604.6526, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9783, predictive_accuracy: 0.9801, prior_entropy: 0.1091, recall: 0.9801, relative_absolute_error: 0.9132, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1365, root_relative_squared_error: 1.1594, scimark_benchmark: 1744.8652, usercpu_time_millis: 218.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6005, f_measure: 0.9684, kappa: 0.1285, kb_relative_information_score: -2971.739, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9765, predictive_accuracy: 0.9611, prior_entropy: 0.1091, recall: 0.9611, relative_absolute_error: 1.3743, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1953, root_relative_squared_error: 1.6585, scimark_benchmark: 1834.908, usercpu_time_millis: 343.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 328.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.9783, kappa: -0.0023, kb_relative_information_score: -1216.2014, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.972, predictive_accuracy: 0.9847, prior_entropy: 0.1091, recall: 0.9847, relative_absolute_error: 0.6505, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1189, root_relative_squared_error: 1.0094, scimark_benchmark: 1788.6668, usercpu_time_millis: 6312.5, usercpu_time_millis_training: 6312.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7673, f_measure: 0.9789, kappa: 0.212, kb_relative_information_score: -827.8114, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9782, predictive_accuracy: 0.9797, prior_entropy: 0.1091, recall: 0.9797, relative_absolute_error: 0.824, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1353, root_relative_squared_error: 1.1489, scimark_benchmark: 1788.6668, usercpu_time_millis: 3109.375, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 3062.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.9789, kb_relative_information_score: -9232.2938, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.9448, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1152, root_relative_squared_error: 0.9781, scimark_benchmark: 1788.6668, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4643, f_measure: 0.9789, kb_relative_information_score: 12.6367, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1178, root_relative_squared_error: 1, scimark_benchmark: 1788.6668, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.9789, kb_relative_information_score: -9143.2775, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.9715, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1152, root_relative_squared_error: 0.978, scimark_benchmark: 1788.6668, usercpu_time_millis: 531.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 515.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.9789, kb_relative_information_score: -9222.5972, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1152, root_relative_squared_error: 0.9781, 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: 0.5, f_measure: 0.9789, kb_relative_information_score: 452.551, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.5001, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1186, root_relative_squared_error: 1.0071, 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: 0.5, f_measure: 0.9789, kb_relative_information_score: 452.551, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.5001, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1186, root_relative_squared_error: 1.0071, scimark_benchmark: 1363.8877, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6005, f_measure: 0.9684, kappa: 0.1285, kb_relative_information_score: -2971.739, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9765, predictive_accuracy: 0.9611, prior_entropy: 0.1091, recall: 0.9611, relative_absolute_error: 1.3743, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1953, root_relative_squared_error: 1.6585, scimark_benchmark: 1515.7917, usercpu_time_millis: 520, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5108, f_measure: 0.9785, kappa: -0.0016, kb_relative_information_score: -37.0933, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9851, prior_entropy: 0.1091, recall: 0.9851, relative_absolute_error: 0.9493, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1191, root_relative_squared_error: 1.0116, scimark_benchmark: 879.3513, usercpu_time_millis: 880, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9789, kb_relative_information_score: 452.551, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.5001, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1186, root_relative_squared_error: 1.0071, scimark_benchmark: 1860.4354, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5134, f_measure: 0.9786, kappa: 0.0442, kb_relative_information_score: 171.6297, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9744, predictive_accuracy: 0.9839, prior_entropy: 0.1091, recall: 0.9839, relative_absolute_error: 0.5736, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.127, root_relative_squared_error: 1.0786, scimark_benchmark: 1860.4354, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.9789, kb_relative_information_score: -12453.9887, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 1.2231, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1164, root_relative_squared_error: 0.9885, scimark_benchmark: 1860.4354, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.9473, kappa: 0.1153, kb_relative_information_score: -11176.8736, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9787, predictive_accuracy: 0.9214, prior_entropy: 0.1091, recall: 0.9214, relative_absolute_error: 2.8449, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.2623, root_relative_squared_error: 2.2276, scimark_benchmark: 1860.4354, usercpu_time_millis: 109.375, usercpu_time_millis_testing: 93.75, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.9789, kb_relative_information_score: -12453.9887, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 1.2231, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1164, root_relative_squared_error: 0.9885, scimark_benchmark: 1860.4354, usercpu_time_millis: 125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4643, f_measure: 0.9789, kb_relative_information_score: -287.5352, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1178, root_relative_squared_error: 1, scimark_benchmark: 1860.4354, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.9789, kb_relative_information_score: -9209.1905, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.9429, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1152, root_relative_squared_error: 0.9781, scimark_benchmark: 1860.4354, usercpu_time_millis: 156.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.9789, kb_relative_information_score: -7963.4237, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.9819, scimark_benchmark: 1860.4354, usercpu_time_millis: 671.875, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 609.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4643, f_measure: 0.9789, kb_relative_information_score: 12.6367, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1178, root_relative_squared_error: 1, scimark_benchmark: 1860.4354, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5164, f_measure: 0.9789, kb_relative_information_score: -676.628, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.9844, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.118, root_relative_squared_error: 1.0023, scimark_benchmark: 1860.4354, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.9789, kb_relative_information_score: -9222.6587, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1152, root_relative_squared_error: 0.9781, scimark_benchmark: 1860.4354, usercpu_time_millis: 343.75, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5534, f_measure: 0.9761, kappa: 0.1133, kb_relative_information_score: -797.4913, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9754, predictive_accuracy: 0.9768, prior_entropy: 0.1091, recall: 0.9768, relative_absolute_error: 0.8392, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1521, root_relative_squared_error: 1.2919, scimark_benchmark: 1860.4354, usercpu_time_millis: 2500, usercpu_time_millis_testing: 2500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4643, f_measure: 0.9789, kb_relative_information_score: 12.6367, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1178, root_relative_squared_error: 1, scimark_benchmark: 1860.4354, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7804, f_measure: 0.9793, kappa: 0.1976, kb_relative_information_score: -2475.2292, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9779, predictive_accuracy: 0.981, prior_entropy: 0.1091, recall: 0.981, relative_absolute_error: 0.8864, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1336, root_relative_squared_error: 1.1343, scimark_benchmark: 1860.4354, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.9789, kb_relative_information_score: -9222.6587, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1152, root_relative_squared_error: 0.9781, scimark_benchmark: 1840.6094, usercpu_time_millis: 406.25, usercpu_time_millis_testing: 312.5, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.9789, kb_relative_information_score: -9222.6587, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1152, root_relative_squared_error: 0.9781, scimark_benchmark: 1840.6094, usercpu_time_millis: 359.375, usercpu_time_millis_testing: 281.25, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5915, f_measure: 0.9783, kappa: -0.0023, kb_relative_information_score: -1791.9469, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.972, predictive_accuracy: 0.9847, prior_entropy: 0.1091, recall: 0.9847, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1357, root_relative_squared_error: 1.152, scimark_benchmark: 1840.6094, usercpu_time_millis: 5468.75, usercpu_time_millis_testing: 5468.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7271, f_measure: 0.9789, kb_relative_information_score: -4623.7581, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.8532, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1175, root_relative_squared_error: 0.9974, scimark_benchmark: 1873.1108, usercpu_time_millis: 7500, usercpu_time_millis_testing: 7500,

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