Task
Supervised Classification on balance-scale

Supervised Classification on balance-scale

Task 11 Supervised Classification balance-scale 24833 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.774, kappa: 0.5811, kb_relative_information_score: 325.4525, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7961, predictive_accuracy: 0.7536, prior_entropy: 1.3212, recall: 0.7536, relative_absolute_error: 0.4325, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.9216, scimark_benchmark: 915.2795, usercpu_time_millis: 570, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.7825, kappa: 0.5965, kb_relative_information_score: 335.357, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.803, predictive_accuracy: 0.7632, prior_entropy: 1.3212, recall: 0.7632, relative_absolute_error: 0.4161, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.8972, scimark_benchmark: 945.3151, usercpu_time_millis: 330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.7985, kappa: 0.6718, kb_relative_information_score: 302.8581, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7789, predictive_accuracy: 0.8192, prior_entropy: 1.3212, recall: 0.8192, relative_absolute_error: 0.5229, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3026, root_relative_squared_error: 0.6946, scimark_benchmark: 947.9494, usercpu_time_millis: 780, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.7613, kappa: 0.6135, kb_relative_information_score: 305.8682, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7344, predictive_accuracy: 0.7904, prior_entropy: 1.3212, recall: 0.7904, relative_absolute_error: 0.4995, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.312, root_relative_squared_error: 0.7162, scimark_benchmark: 943.2817, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.3939, kappa: -0.0059, kb_relative_information_score: 42.7022, mean_absolute_error: 0.3616, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.4196, predictive_accuracy: 0.4576, prior_entropy: 1.3212, recall: 0.4576, relative_absolute_error: 0.9522, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.6013, root_relative_squared_error: 1.3805, scimark_benchmark: 929.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.838, kappa: 0.7656, kb_relative_information_score: 345.5404, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8051, predictive_accuracy: 0.8736, prior_entropy: 1.3212, recall: 0.8736, relative_absolute_error: 0.4484, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.263, root_relative_squared_error: 0.6039, scimark_benchmark: 933.8635, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, f_measure: 0.3939, kappa: -0.0059, kb_relative_information_score: 0.0472, mean_absolute_error: 0.3798, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.4196, predictive_accuracy: 0.4576, prior_entropy: 1.3212, recall: 0.4576, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4356, root_relative_squared_error: 1, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.7956, kappa: 0.6218, kb_relative_information_score: 347.7098, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8143, predictive_accuracy: 0.7792, prior_entropy: 1.3212, recall: 0.7792, relative_absolute_error: 0.3913, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3558, root_relative_squared_error: 0.8169, scimark_benchmark: 902.4773, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, f_measure: 0.3939, kappa: -0.0059, kb_relative_information_score: 0.0472, mean_absolute_error: 0.3798, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.4196, predictive_accuracy: 0.4576, prior_entropy: 1.3212, recall: 0.4576, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4356, root_relative_squared_error: 1, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.838, kappa: 0.7656, kb_relative_information_score: 345.5404, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8051, predictive_accuracy: 0.8736, prior_entropy: 1.3212, recall: 0.8736, relative_absolute_error: 0.4484, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.263, root_relative_squared_error: 0.6039, scimark_benchmark: 938.9865, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.881, kappa: 0.8487, kb_relative_information_score: 415.113, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8466, predictive_accuracy: 0.9184, prior_entropy: 1.3212, recall: 0.9184, relative_absolute_error: 0.3362, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.5066, scimark_benchmark: 931.2336, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.8968, kappa: 0.8615, kb_relative_information_score: 457.7687, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9069, predictive_accuracy: 0.9248, prior_entropy: 1.3212, recall: 0.9248, relative_absolute_error: 0.2761, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4576, scimark_benchmark: 932.3943, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9212, kappa: 0.8861, kb_relative_information_score: 494.5868, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.933, predictive_accuracy: 0.9376, prior_entropy: 1.3212, recall: 0.9376, relative_absolute_error: 0.2242, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.41, scimark_benchmark: 902.4773, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9616, kappa: 0.9371, kb_relative_information_score: 523.9066, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9634, predictive_accuracy: 0.9648, prior_entropy: 1.3212, recall: 0.9648, relative_absolute_error: 0.1824, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.3662, scimark_benchmark: 938.9865, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.6967, kappa: 0.4926, kb_relative_information_score: 262.6374, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6696, predictive_accuracy: 0.7264, prior_entropy: 1.3212, recall: 0.7264, relative_absolute_error: 0.5618, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.82, scimark_benchmark: 933.8635, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.6918, kappa: 0.4837, kb_relative_information_score: 155.6026, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6657, predictive_accuracy: 0.7216, prior_entropy: 1.3212, recall: 0.7216, relative_absolute_error: 0.8184, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.8239, scimark_benchmark: 939.7623, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.6918, kappa: 0.4837, kb_relative_information_score: 155.6026, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6657, predictive_accuracy: 0.7216, prior_entropy: 1.3212, recall: 0.7216, relative_absolute_error: 0.8184, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.8239, scimark_benchmark: 934.5243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.6918, kappa: 0.4837, kb_relative_information_score: 155.6026, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6657, predictive_accuracy: 0.7216, prior_entropy: 1.3212, recall: 0.7216, relative_absolute_error: 0.8184, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.8239, scimark_benchmark: 938.4278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.6918, kappa: 0.4837, kb_relative_information_score: 155.6026, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6657, predictive_accuracy: 0.7216, prior_entropy: 1.3212, recall: 0.7216, relative_absolute_error: 0.8184, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.8239, scimark_benchmark: 942.1229, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9071, kappa: 0.8391, kb_relative_information_score: 511.1615, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9057, predictive_accuracy: 0.9088, prior_entropy: 1.3212, recall: 0.9088, relative_absolute_error: 0.202, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.4426, scimark_benchmark: 945.6434, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9071, kappa: 0.8391, kb_relative_information_score: 511.1615, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9057, predictive_accuracy: 0.9088, prior_entropy: 1.3212, recall: 0.9088, relative_absolute_error: 0.202, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.4426, scimark_benchmark: 911.0478, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9062, kappa: 0.8387, kb_relative_information_score: 513.3219, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9041, predictive_accuracy: 0.9088, prior_entropy: 1.3212, recall: 0.9088, relative_absolute_error: 0.1977, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.4424, scimark_benchmark: 922.9039, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9054, kappa: 0.8546, kb_relative_information_score: 512.3564, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9077, predictive_accuracy: 0.92, prior_entropy: 1.3212, recall: 0.92, relative_absolute_error: 0.1435, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.4642, scimark_benchmark: 942.6953, usercpu_time_millis: 170, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.7523, kappa: 0.5816, kb_relative_information_score: 311.6665, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7392, predictive_accuracy: 0.768, prior_entropy: 1.3212, recall: 0.768, relative_absolute_error: 0.4852, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.8354, scimark_benchmark: 1054.3694, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, f_measure: 0.3939, kappa: -0.0059, kb_relative_information_score: 0.0472, mean_absolute_error: 0.3798, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.4196, predictive_accuracy: 0.4576, prior_entropy: 1.3212, recall: 0.4576, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4356, root_relative_squared_error: 1, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.7782, kappa: 0.6399, kb_relative_information_score: 371.1743, mean_absolute_error: 0.1312, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7547, predictive_accuracy: 0.8032, prior_entropy: 1.3212, recall: 0.8032, relative_absolute_error: 0.3455, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.8316, scimark_benchmark: 1028.5889, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9162, kappa: 0.8535, kb_relative_information_score: 516.756, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9158, predictive_accuracy: 0.9168, prior_entropy: 1.3212, recall: 0.9168, relative_absolute_error: 0.1492, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.5122, scimark_benchmark: 927.0753, usercpu_time_millis: 5930, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6142, f_measure: 0.5589, kappa: 0.2285, kb_relative_information_score: 162.8378, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.5381, predictive_accuracy: 0.584, prior_entropy: 1.3212, recall: 0.584, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.5266, root_relative_squared_error: 1.209, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.8154, kappa: 0.6817, kb_relative_information_score: 394.125, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8106, predictive_accuracy: 0.8208, prior_entropy: 1.3212, recall: 0.8208, relative_absolute_error: 0.3506, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.7099, scimark_benchmark: 1466.6185, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5099, f_measure: 0.3517, kappa: 0.014, kb_relative_information_score: -26.085, mean_absolute_error: 0.4192, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.5088, predictive_accuracy: 0.3712, prior_entropy: 1.3212, recall: 0.3712, relative_absolute_error: 1.1038, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.6475, root_relative_squared_error: 1.4864, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.7927, kappa: 0.6329, kb_relative_information_score: 359.0086, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.797, predictive_accuracy: 0.7904, prior_entropy: 1.3212, recall: 0.7904, relative_absolute_error: 0.3679, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.8582, scimark_benchmark: 1353.6735, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.7742, kappa: 0.6354, kb_relative_information_score: 310.0191, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7489, predictive_accuracy: 0.8016, prior_entropy: 1.3212, recall: 0.8016, relative_absolute_error: 0.5006, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.7826, scimark_benchmark: 1355.7054, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.7453, kappa: 0.5835, kb_relative_information_score: 309.0908, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7184, predictive_accuracy: 0.7744, prior_entropy: 1.3212, recall: 0.7744, relative_absolute_error: 0.5117, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.7846, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.8057, kappa: 0.6459, kb_relative_information_score: 363.5708, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8165, predictive_accuracy: 0.7952, prior_entropy: 1.3212, recall: 0.7952, relative_absolute_error: 0.3595, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.8483, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.8235, kappa: 0.6784, kb_relative_information_score: 357.7287, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8328, predictive_accuracy: 0.8144, prior_entropy: 1.3212, recall: 0.8144, relative_absolute_error: 0.3864, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2855, root_relative_squared_error: 0.6554, scimark_benchmark: 1304.6687, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7118, kappa: 0.5204, kb_relative_information_score: 232.5059, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6852, predictive_accuracy: 0.7408, prior_entropy: 1.3212, recall: 0.7408, relative_absolute_error: 0.648, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.8138, scimark_benchmark: 1297.5331, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.6967, kappa: 0.4926, kb_relative_information_score: 226.4828, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6695, predictive_accuracy: 0.7264, prior_entropy: 1.3212, recall: 0.7264, relative_absolute_error: 0.6559, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.7467, scimark_benchmark: 1250.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.8595, kappa: 0.8071, kb_relative_information_score: 459.3751, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8258, predictive_accuracy: 0.896, prior_entropy: 1.3212, recall: 0.896, relative_absolute_error: 0.1826, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.6045, scimark_benchmark: 1250.8301, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8199, kappa: 0.7256, kb_relative_information_score: 326.0264, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.791, predictive_accuracy: 0.8512, prior_entropy: 1.3212, recall: 0.8512, relative_absolute_error: 0.4747, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.631, scimark_benchmark: 1261.7298, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.8165, kappa: 0.724, kb_relative_information_score: 159.2145, mean_absolute_error: 0.2943, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7851, predictive_accuracy: 0.8512, prior_entropy: 1.3212, recall: 0.8512, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.8048, scimark_benchmark: 1318.5627, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.835, kappa: 0.7596, kb_relative_information_score: 159.4502, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.803, predictive_accuracy: 0.8704, prior_entropy: 1.3212, recall: 0.8704, relative_absolute_error: 0.7744, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.8034, scimark_benchmark: 1275.9462, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, f_measure: 0.6108, kappa: 0.3264, kb_relative_information_score: 120.1772, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.5868, predictive_accuracy: 0.6368, prior_entropy: 1.3212, recall: 0.6368, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.9176, scimark_benchmark: 904.3681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8908, kappa: 0.8306, kb_relative_information_score: 484.6839, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9003, predictive_accuracy: 0.9072, prior_entropy: 1.3212, recall: 0.9072, relative_absolute_error: 0.1629, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2487, root_relative_squared_error: 0.571, scimark_benchmark: 939.5205, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2907, kb_relative_information_score: -56.1437, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.2123, predictive_accuracy: 0.4608, prior_entropy: 1.3212, recall: 0.4608, relative_absolute_error: 1.1703, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0823, scimark_benchmark: 1313.6093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.7961, kappa: 0.6484, kb_relative_information_score: 369.6536, mean_absolute_error: 0.1323, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7908, predictive_accuracy: 0.8016, prior_entropy: 1.3212, recall: 0.8016, relative_absolute_error: 0.3483, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.8349, scimark_benchmark: 1345.4669, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.8532, kappa: 0.7756, kb_relative_information_score: 358.5452, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8342, predictive_accuracy: 0.8768, prior_entropy: 1.3212, recall: 0.8768, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.6367, scimark_benchmark: 1349.9741, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.881, kappa: 0.8487, kb_relative_information_score: 415.113, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8466, predictive_accuracy: 0.9184, prior_entropy: 1.3212, recall: 0.9184, relative_absolute_error: 0.3362, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.5066, scimark_benchmark: 961.21, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.6861, kappa: 0.4654, kb_relative_information_score: 197.7503, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6702, predictive_accuracy: 0.7088, prior_entropy: 1.3212, recall: 0.7088, relative_absolute_error: 0.7098, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.8721, scimark_benchmark: 1331.2332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.8284, kappa: 0.743, kb_relative_information_score: 325.5405, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7984, predictive_accuracy: 0.8608, prior_entropy: 1.3212, recall: 0.8608, relative_absolute_error: 0.4743, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.627, scimark_benchmark: 854.5188, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.8968, kappa: 0.8615, kb_relative_information_score: 457.7687, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9069, predictive_accuracy: 0.9248, prior_entropy: 1.3212, recall: 0.9248, relative_absolute_error: 0.2761, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4576, scimark_benchmark: 1346.8749, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9616, kappa: 0.9371, kb_relative_information_score: 523.9066, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9634, predictive_accuracy: 0.9648, prior_entropy: 1.3212, recall: 0.9648, relative_absolute_error: 0.1824, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.3662, scimark_benchmark: 1337.5749, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8011, kappa: 0.6944, kb_relative_information_score: 363.1707, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7697, predictive_accuracy: 0.8352, prior_entropy: 1.3212, recall: 0.8352, relative_absolute_error: 0.4168, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.624, scimark_benchmark: 1342.4239, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.9124, kappa: 0.8385, kb_relative_information_score: 511.5467, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9241, predictive_accuracy: 0.9056, prior_entropy: 1.3212, recall: 0.9056, relative_absolute_error: 0.1811, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.5442, scimark_benchmark: 912.7324, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.783, kappa: 0.631, kb_relative_information_score: 344.4345, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7748, predictive_accuracy: 0.7936, prior_entropy: 1.3212, recall: 0.7936, relative_absolute_error: 0.4349, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.7792, scimark_benchmark: 906.4475, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8242, kappa: 0.7389, kb_relative_information_score: 158.7345, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7921, predictive_accuracy: 0.8592, prior_entropy: 1.3212, recall: 0.8592, relative_absolute_error: 0.7755, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.8045, scimark_benchmark: 1352.2099, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.8579, kappa: 0.8042, kb_relative_information_score: 314.891, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8243, predictive_accuracy: 0.8944, prior_entropy: 1.3212, recall: 0.8944, relative_absolute_error: 0.4844, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.626, scimark_benchmark: 1357.5655, usercpu_time_millis: 420, usercpu_time_millis_testing: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.8235, kappa: 0.6784, kb_relative_information_score: 357.7287, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8328, predictive_accuracy: 0.8144, prior_entropy: 1.3212, recall: 0.8144, relative_absolute_error: 0.3864, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2855, root_relative_squared_error: 0.6554, scimark_benchmark: 1345.7204, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7118, kappa: 0.5204, kb_relative_information_score: 232.5059, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6852, predictive_accuracy: 0.7408, prior_entropy: 1.3212, recall: 0.7408, relative_absolute_error: 0.648, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.8138, scimark_benchmark: 1345.7204, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.6967, kappa: 0.4926, kb_relative_information_score: 226.4828, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6695, predictive_accuracy: 0.7264, prior_entropy: 1.3212, recall: 0.7264, relative_absolute_error: 0.6559, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.7467, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.8595, kappa: 0.8071, kb_relative_information_score: 459.3751, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8258, predictive_accuracy: 0.896, prior_entropy: 1.3212, recall: 0.896, relative_absolute_error: 0.1826, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.6045, scimark_benchmark: 933.1165, usercpu_time_millis: 90, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.6845, kappa: 0.4688, kb_relative_information_score: 248.8813, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6584, predictive_accuracy: 0.7136, prior_entropy: 1.3212, recall: 0.7136, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.7331, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.6845, kappa: 0.4688, kb_relative_information_score: 248.8813, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6584, predictive_accuracy: 0.7136, prior_entropy: 1.3212, recall: 0.7136, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.7331, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.8141, kappa: 0.7161, kb_relative_information_score: 327.688, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7849, predictive_accuracy: 0.8464, prior_entropy: 1.3212, recall: 0.8464, relative_absolute_error: 0.4721, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.6403, scimark_benchmark: 918.0213, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.6967, kappa: 0.4926, kb_relative_information_score: 226.4828, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6695, predictive_accuracy: 0.7264, prior_entropy: 1.3212, recall: 0.7264, relative_absolute_error: 0.6559, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.7467, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs