OpenML
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 131688 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 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: 0.6551, build_cpu_time: 0.0048, build_memory: 446721357.6146, f_measure: 0.6863, kappa: 0.31, kb_relative_information_score: 215.9197, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6865, predictive_accuracy: 0.6862, prior_entropy: 0.9335, recall: 0.6862, relative_absolute_error: 0.6904, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5602, root_relative_squared_error: 1.1753, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6551, build_cpu_time: 0.0047, build_memory: 1796946615.6979, f_measure: 0.6863, kappa: 0.31, kb_relative_information_score: 215.9197, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6865, predictive_accuracy: 0.6862, prior_entropy: 0.9335, recall: 0.6862, relative_absolute_error: 0.6904, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5602, root_relative_squared_error: 1.1753, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6551, build_cpu_time: 0.0078, build_memory: 2309557809.7708, f_measure: 0.6863, kappa: 0.31, kb_relative_information_score: 215.9197, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6865, predictive_accuracy: 0.6862, prior_entropy: 0.9335, recall: 0.6862, relative_absolute_error: 0.6904, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5602, root_relative_squared_error: 1.1753, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6551, build_cpu_time: 0.0098, build_memory: 2254748299.3021, f_measure: 0.6863, kappa: 0.31, kb_relative_information_score: 215.9197, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6865, predictive_accuracy: 0.6862, prior_entropy: 0.9335, recall: 0.6862, relative_absolute_error: 0.6904, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5602, root_relative_squared_error: 1.1753, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6551, build_cpu_time: 0.0106, build_memory: 185759007.1979, f_measure: 0.6863, kappa: 0.31, kb_relative_information_score: 215.9197, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6865, predictive_accuracy: 0.6862, prior_entropy: 0.9335, recall: 0.6862, relative_absolute_error: 0.6904, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5602, root_relative_squared_error: 1.1753, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7702, build_cpu_time: 0.621, build_memory: 1017660036.9167, f_measure: 0.7257, kappa: 0.3921, kb_relative_information_score: 283.1907, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7242, predictive_accuracy: 0.7279, prior_entropy: 0.9335, recall: 0.7279, relative_absolute_error: 0.6076, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4932, root_relative_squared_error: 1.0347, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, build_cpu_time: 0.4453, build_memory: 172028758.6354, f_measure: 0.7213, kappa: 0.3818, kb_relative_information_score: 277.6697, mean_absolute_error: 0.2793, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7197, predictive_accuracy: 0.724, prior_entropy: 0.9335, recall: 0.724, relative_absolute_error: 0.6145, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.496, root_relative_squared_error: 1.0406, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7764, build_cpu_time: 0.2701, build_memory: 166300305.0208, f_measure: 0.7169, kappa: 0.3714, kb_relative_information_score: 272.8351, mean_absolute_error: 0.2822, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7151, predictive_accuracy: 0.7201, prior_entropy: 0.9335, recall: 0.7201, relative_absolute_error: 0.621, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4877, root_relative_squared_error: 1.0233, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7737, build_cpu_time: 0.1487, build_memory: 866077286.6667, f_measure: 0.7251, kappa: 0.39, kb_relative_information_score: 271.0085, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7235, predictive_accuracy: 0.7279, prior_entropy: 0.9335, recall: 0.7279, relative_absolute_error: 0.6271, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.478, root_relative_squared_error: 1.003, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7703, build_cpu_time: 0.0578, build_memory: 203563870.125, f_measure: 0.7315, kappa: 0.4041, kb_relative_information_score: 269.1919, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.73, predictive_accuracy: 0.7344, prior_entropy: 0.9335, recall: 0.7344, relative_absolute_error: 0.636, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9718, scimark_benchmark: 940.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, build_cpu_time: 0.0787, build_memory: 709460160.7604, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 254.7996, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6885, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8743, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, build_cpu_time: 0.0603, build_memory: 557293744.7292, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 254.7996, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6885, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8743, scimark_benchmark: 939.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, build_cpu_time: 0.0645, build_memory: 1221233354.4271, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 254.7996, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6885, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8743, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, build_cpu_time: 0.0617, build_memory: 965970271.3125, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 254.7996, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6885, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8743, scimark_benchmark: 935.1201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, build_cpu_time: 0.0695, build_memory: 876226893.2396, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 254.7996, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6885, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8743, scimark_benchmark: 940.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.7642, kappa: 0.4744, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7634, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 942.2963, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: 154.1008, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394, scimark_benchmark: 915.2795, usercpu_time_millis: 680, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8172, f_measure: 0.7653, kappa: 0.4782, kb_relative_information_score: 262.1315, mean_absolute_error: 0.3009, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7642, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6621, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.8549, scimark_benchmark: 915.2795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.7442, kappa: 0.4313, kb_relative_information_score: 281.2266, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7427, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.626, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9008, scimark_benchmark: 923.9763, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4764, f_measure: 0.2263, kappa: -0.034, kb_relative_information_score: -381.6627, mean_absolute_error: 0.6536, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4297, predictive_accuracy: 0.3464, prior_entropy: 0.9335, recall: 0.3464, relative_absolute_error: 1.4382, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.8085, root_relative_squared_error: 1.6962, scimark_benchmark: 889.9023, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, f_measure: 0.7087, kappa: 0.3571, kb_relative_information_score: 264.1062, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7079, predictive_accuracy: 0.7096, prior_entropy: 0.9335, recall: 0.7096, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4925, root_relative_squared_error: 1.0332, scimark_benchmark: 930.32, usercpu_time_millis: 640, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7693, f_measure: 0.7151, kappa: 0.3668, kb_relative_information_score: 284.5913, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7132, predictive_accuracy: 0.7188, prior_entropy: 0.9335, recall: 0.7188, relative_absolute_error: 0.6044, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0594, scimark_benchmark: 923.3111, usercpu_time_millis: 1230, usercpu_time_millis_training: 1230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7332, f_measure: 0.7427, kappa: 0.4278, kb_relative_information_score: 319.6347, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7412, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.5611, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.0522, scimark_benchmark: 1160.1034, usercpu_time_millis: 3790, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 3660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7413, f_measure: 0.7412, kappa: 0.426, kb_relative_information_score: 315.3666, mean_absolute_error: 0.2575, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7398, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.5665, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0574, scimark_benchmark: 876.8277, usercpu_time_millis: 1520, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.742, f_measure: 0.7418, kappa: 0.4264, kb_relative_information_score: 320.5221, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7403, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.5597, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.0442, scimark_benchmark: 940.2751, usercpu_time_millis: 740, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.7378, kappa: 0.4122, kb_relative_information_score: 129.2411, mean_absolute_error: 0.3828, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7386, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.8422, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8816, scimark_benchmark: 929.566, usercpu_time_millis: 1110, usercpu_time_millis_training: 1110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.7379, kappa: 0.4147, kb_relative_information_score: 241.2932, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7369, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.692, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.9362, scimark_benchmark: 918.4924, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: 154.1008, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394, scimark_benchmark: 929.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.7282, kappa: 0.3897, kb_relative_information_score: 226.6015, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7299, predictive_accuracy: 0.7383, prior_entropy: 0.9335, recall: 0.7383, relative_absolute_error: 0.711, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.419, root_relative_squared_error: 0.879, scimark_benchmark: 929.0255, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: -0.1051, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.7254, kappa: 0.3891, kb_relative_information_score: 236.827, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7236, predictive_accuracy: 0.7292, prior_entropy: 0.9335, recall: 0.7292, relative_absolute_error: 0.6827, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.9124, scimark_benchmark: 902.4773, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, f_measure: 0.7347, kappa: 0.4059, kb_relative_information_score: 252.6102, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7346, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.6712, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8813, scimark_benchmark: 934.5243, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.7432, kappa: 0.4529, kb_relative_information_score: 208.091, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7572, predictive_accuracy: 0.7383, prior_entropy: 0.9335, recall: 0.7383, relative_absolute_error: 0.7374, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8572, scimark_benchmark: 938.9865, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: -0.1051, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, f_measure: 0.7329, kappa: 0.4004, kb_relative_information_score: 236.7875, mean_absolute_error: 0.3173, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7342, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.6981, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.871, scimark_benchmark: 938.9865, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8057, f_measure: 0.7344, kappa: 0.4048, kb_relative_information_score: 249.8361, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7345, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.8724, scimark_benchmark: 933.8635, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.7551, kappa: 0.4543, kb_relative_information_score: 270.0796, mean_absolute_error: 0.2943, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.754, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.6475, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.414, root_relative_squared_error: 0.8687, scimark_benchmark: 938.2848, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7432, kappa: 0.4266, kb_relative_information_score: 249.7737, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7424, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8607, scimark_benchmark: 942.9518, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, f_measure: 0.7453, kappa: 0.4305, kb_relative_information_score: 263.3355, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7448, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.6601, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8562, scimark_benchmark: 1442.7264, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7479, kappa: 0.4364, kb_relative_information_score: 269.5882, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7476, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.6504, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8543, scimark_benchmark: 854.5188, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8238, f_measure: 0.7486, kappa: 0.4385, kb_relative_information_score: 277.0021, mean_absolute_error: 0.2907, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7479, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.6395, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8535, scimark_benchmark: 915.6729, usercpu_time_millis: 280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.7355, kappa: 0.4057, kb_relative_information_score: 243.7706, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7385, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.6929, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.883, scimark_benchmark: 1310.3951, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, f_measure: 0.7329, kappa: 0.4004, kb_relative_information_score: 236.7875, mean_absolute_error: 0.3173, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7342, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.6981, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.871, scimark_benchmark: 937.1527, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.7495, kappa: 0.4415, kb_relative_information_score: 272.6761, mean_absolute_error: 0.2921, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7484, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.6427, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8778, scimark_benchmark: 1299.5783, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.7339, kappa: 0.4008, kb_relative_information_score: 198.9195, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7428, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.7633, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.8479, scimark_benchmark: 1301.9956, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.7383, kappa: 0.4175, kb_relative_information_score: 271.7697, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7368, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.6402, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.441, root_relative_squared_error: 0.9253, scimark_benchmark: 1324.8395, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.7211, kappa: 0.3926, kb_relative_information_score: 139.3305, mean_absolute_error: 0.3787, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7247, predictive_accuracy: 0.7188, prior_entropy: 0.9335, recall: 0.7188, relative_absolute_error: 0.8332, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.9217, scimark_benchmark: 925.4974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5409, f_measure: 0.5803, kappa: 0.0543, kb_relative_information_score: -124.1811, mean_absolute_error: 0.4976, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.5729, predictive_accuracy: 0.6068, prior_entropy: 0.9335, recall: 0.6068, relative_absolute_error: 1.0949, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0506, scimark_benchmark: 906.4475, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.7654, kappa: 0.4769, kb_relative_information_score: 253.4157, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7647, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6818, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.8269, scimark_benchmark: 1331.1784, usercpu_time_millis: 480, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.7312, kappa: 0.3942, kb_relative_information_score: 171.4577, mean_absolute_error: 0.3644, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7473, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.8018, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8576, scimark_benchmark: 1356.9539, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.7397, kappa: 0.4168, kb_relative_information_score: 166.3541, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7401, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.7936, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.8793, scimark_benchmark: 1321.1875, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7572, kappa: 0.4545, kb_relative_information_score: 241.6435, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7617, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8365, scimark_benchmark: 1339.4189, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7912, f_measure: 0.7657, kappa: 0.4766, kb_relative_information_score: 284.7013, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7656, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6317, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8834, scimark_benchmark: 918.6005, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, f_measure: 0.7465, kappa: 0.4345, kb_relative_information_score: 201.2167, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7455, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.7612, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.43, root_relative_squared_error: 0.9022, scimark_benchmark: 1319.59, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, f_measure: 0.7332, kappa: 0.4007, kb_relative_information_score: 204.0891, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7356, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.742, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.418, root_relative_squared_error: 0.8771, scimark_benchmark: 1335.693, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, f_measure: 0.7217, kappa: 0.3918, kb_relative_information_score: 148.0748, mean_absolute_error: 0.3739, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.724, predictive_accuracy: 0.7201, prior_entropy: 0.9335, recall: 0.7201, relative_absolute_error: 0.8226, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.9212, scimark_benchmark: 1264.6103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: -0.1051, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1342.5243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 255.118, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8315, scimark_benchmark: 1344.7246, usercpu_time_millis: 330, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 255.151, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8315, scimark_benchmark: 1348.8402, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.7512, kappa: 0.4474, kb_relative_information_score: 269.6468, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7498, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.8941, scimark_benchmark: 1345.7589, usercpu_time_millis: 710, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.7574, kappa: 0.4578, kb_relative_information_score: 210.6259, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7573, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.7426, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.846, scimark_benchmark: 1413.089, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.7642, kappa: 0.4744, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7634, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1339.944, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7767, f_measure: 0.7334, kappa: 0.4042, kb_relative_information_score: 225.3836, mean_absolute_error: 0.3251, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7325, predictive_accuracy: 0.7396, prior_entropy: 0.9335, recall: 0.7396, relative_absolute_error: 0.7154, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.8869, scimark_benchmark: 1339.7143, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7451, f_measure: 0.7148, kappa: 0.3625, kb_relative_information_score: 206.9404, mean_absolute_error: 0.3308, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7132, predictive_accuracy: 0.7214, prior_entropy: 0.9335, recall: 0.7214, relative_absolute_error: 0.7279, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.9488, scimark_benchmark: 1360.2771, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7451, f_measure: 0.7148, kappa: 0.3625, kb_relative_information_score: 206.9404, mean_absolute_error: 0.3308, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7132, predictive_accuracy: 0.7214, prior_entropy: 0.9335, recall: 0.7214, relative_absolute_error: 0.7279, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.9488, scimark_benchmark: 1316.535, 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