Task
Supervised Classification on breast-cancer

Supervised Classification on breast-cancer

Task 1893 Supervised Classification breast-cancer 215 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6022, f_measure: 0.6938, kappa: 0.2352, kb_relative_information_score: 818.4398, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6963, predictive_accuracy: 0.7224, prior_entropy: 0.8796, recall: 0.7224, relative_absolute_error: 0.6637, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5269, root_relative_squared_error: 1.1529, usercpu_time_millis: 2.759, usercpu_time_millis_testing: 0.835, usercpu_time_millis_training: 1.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5941, f_measure: 0.6939, kappa: 0.2353, kb_relative_information_score: 315.2552, mean_absolute_error: 0.3745, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.7223, predictive_accuracy: 0.7385, prior_entropy: 0.8796, recall: 0.7385, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.446, root_relative_squared_error: 0.976, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6847, f_measure: 0.6988, kappa: 0.2539, kb_relative_information_score: 16.2978, mean_absolute_error: 0.3984, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6947, predictive_accuracy: 0.7157, prior_entropy: 0.8796, recall: 0.7157, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.9638, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6654, f_measure: 0.6916, kappa: 0.2339, kb_relative_information_score: 348.849, mean_absolute_error: 0.3592, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6878, predictive_accuracy: 0.7119, prior_entropy: 0.8796, recall: 0.7119, relative_absolute_error: 0.8588, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.9826, scimark_benchmark: 851.2074, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5068, f_measure: 0.5908, kappa: 0.019, kb_relative_information_score: 692.7975, mean_absolute_error: 0.2948, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6898, predictive_accuracy: 0.7052, prior_entropy: 0.8796, recall: 0.7052, relative_absolute_error: 0.7046, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5429, root_relative_squared_error: 1.1879, scimark_benchmark: 931.771, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5068, f_measure: 0.5908, kappa: 0.019, kb_relative_information_score: 692.7975, mean_absolute_error: 0.2948, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6898, predictive_accuracy: 0.7052, prior_entropy: 0.8796, recall: 0.7052, relative_absolute_error: 0.7046, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5429, root_relative_squared_error: 1.1879, scimark_benchmark: 941.6675, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.7126, kappa: 0.2912, kb_relative_information_score: 532.5695, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.7087, predictive_accuracy: 0.7255, prior_entropy: 0.8796, recall: 0.7255, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.9689, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.7126, kappa: 0.2912, kb_relative_information_score: 532.5695, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.7087, predictive_accuracy: 0.7255, prior_entropy: 0.8796, recall: 0.7255, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.9689, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, f_measure: 0.6645, kappa: 0.1608, kb_relative_information_score: 226.7933, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6689, predictive_accuracy: 0.7059, prior_entropy: 0.8796, recall: 0.7059, relative_absolute_error: 0.8941, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.9782, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.6985, kappa: 0.2555, kb_relative_information_score: 406.1697, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6937, predictive_accuracy: 0.7129, prior_entropy: 0.8796, recall: 0.7129, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9855, scimark_benchmark: 943.8235, usercpu_time_millis: 2850, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 2780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.7126, kappa: 0.2912, kb_relative_information_score: 532.5695, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.7087, predictive_accuracy: 0.7255, prior_entropy: 0.8796, recall: 0.7255, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.9689, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, f_measure: 0.6925, kappa: 0.2354, kb_relative_information_score: 301.6356, mean_absolute_error: 0.3606, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6895, predictive_accuracy: 0.714, prior_entropy: 0.8796, recall: 0.714, relative_absolute_error: 0.8621, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.9841, scimark_benchmark: 931.771, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5068, f_measure: 0.5908, kappa: 0.019, kb_relative_information_score: 692.7975, mean_absolute_error: 0.2948, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6898, predictive_accuracy: 0.7052, prior_entropy: 0.8796, recall: 0.7052, relative_absolute_error: 0.7046, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5429, root_relative_squared_error: 1.1879, scimark_benchmark: 941.3847, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7219, kappa: 0.3185, kb_relative_information_score: 549.8095, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.718, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.7829, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9962, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6726, f_measure: 0.7014, kappa: 0.2605, kb_relative_information_score: 546.3155, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6974, predictive_accuracy: 0.7178, prior_entropy: 0.8796, recall: 0.7178, relative_absolute_error: 0.7764, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4659, root_relative_squared_error: 1.0195, scimark_benchmark: 974.2014, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, f_measure: 0.6925, kappa: 0.2354, kb_relative_information_score: 301.6356, mean_absolute_error: 0.3606, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6895, predictive_accuracy: 0.714, prior_entropy: 0.8796, recall: 0.714, relative_absolute_error: 0.8621, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.9841, scimark_benchmark: 943.1009, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5941, f_measure: 0.6939, kappa: 0.2353, kb_relative_information_score: 315.2552, mean_absolute_error: 0.3745, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.7223, predictive_accuracy: 0.7385, prior_entropy: 0.8796, recall: 0.7385, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.446, root_relative_squared_error: 0.976, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6847, f_measure: 0.6988, kappa: 0.2539, kb_relative_information_score: 16.2978, mean_absolute_error: 0.3984, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6947, predictive_accuracy: 0.7157, prior_entropy: 0.8796, recall: 0.7157, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.9638, scimark_benchmark: 935.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5068, f_measure: 0.5908, kappa: 0.019, kb_relative_information_score: 692.7975, mean_absolute_error: 0.2948, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6898, predictive_accuracy: 0.7052, prior_entropy: 0.8796, recall: 0.7052, relative_absolute_error: 0.7046, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5429, root_relative_squared_error: 1.1879, scimark_benchmark: 730.6551, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.7126, kappa: 0.2912, kb_relative_information_score: 532.5695, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.7087, predictive_accuracy: 0.7255, prior_entropy: 0.8796, recall: 0.7255, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.9689, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.7126, kappa: 0.2912, kb_relative_information_score: 532.5695, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.7087, predictive_accuracy: 0.7255, prior_entropy: 0.8796, recall: 0.7255, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.9689, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.7126, kappa: 0.2912, kb_relative_information_score: 532.5695, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.7087, predictive_accuracy: 0.7255, prior_entropy: 0.8796, recall: 0.7255, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.9689, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, f_measure: 0.6645, kappa: 0.1608, kb_relative_information_score: 226.7933, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6689, predictive_accuracy: 0.7059, prior_entropy: 0.8796, recall: 0.7059, relative_absolute_error: 0.8941, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.9782, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.6985, kappa: 0.2555, kb_relative_information_score: 406.1697, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6937, predictive_accuracy: 0.7129, prior_entropy: 0.8796, recall: 0.7129, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9855, scimark_benchmark: 936.9595, usercpu_time_millis: 1860, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.7126, kappa: 0.2912, kb_relative_information_score: 532.5695, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.7087, predictive_accuracy: 0.7255, prior_entropy: 0.8796, recall: 0.7255, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.9689, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, f_measure: 0.6925, kappa: 0.2354, kb_relative_information_score: 301.6356, mean_absolute_error: 0.3606, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6895, predictive_accuracy: 0.714, prior_entropy: 0.8796, recall: 0.714, relative_absolute_error: 0.8621, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.9841, scimark_benchmark: 1051.249, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.7119, kappa: 0.2796, kb_relative_information_score: 383.781, mean_absolute_error: 0.3603, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.7255, predictive_accuracy: 0.7437, prior_entropy: 0.8796, recall: 0.7437, relative_absolute_error: 0.8612, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9402, scimark_benchmark: 851.2074, usercpu_time_millis: 3010, usercpu_time_millis_testing: 1140, usercpu_time_millis_training: 1870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6793, f_measure: 0.7116, kappa: 0.2789, kb_relative_information_score: 380.9682, mean_absolute_error: 0.3604, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.725, predictive_accuracy: 0.7434, prior_entropy: 0.8796, recall: 0.7434, relative_absolute_error: 0.8617, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.9411, scimark_benchmark: 934.7923, usercpu_time_millis: 1170, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6801, f_measure: 0.7051, kappa: 0.2626, kb_relative_information_score: 374.9283, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.7169, predictive_accuracy: 0.7378, prior_entropy: 0.8796, recall: 0.7378, relative_absolute_error: 0.8621, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.9436, scimark_benchmark: 899.0468, usercpu_time_millis: 580, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6797, f_measure: 0.711, kappa: 0.2776, kb_relative_information_score: 391.3167, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.7217, predictive_accuracy: 0.7413, prior_entropy: 0.8796, recall: 0.7413, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9419, scimark_benchmark: 942.5233, usercpu_time_millis: 290, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6707, f_measure: 0.708, kappa: 0.2699, kb_relative_information_score: 375.0904, mean_absolute_error: 0.3597, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.7183, predictive_accuracy: 0.7388, prior_entropy: 0.8796, recall: 0.7388, relative_absolute_error: 0.8599, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.9533, scimark_benchmark: 935.6052, usercpu_time_millis: 160, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6458, f_measure: 0.6837, kappa: 0.2186, kb_relative_information_score: 286.9249, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6778, predictive_accuracy: 0.6993, prior_entropy: 0.8796, recall: 0.6993, relative_absolute_error: 0.8672, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4581, root_relative_squared_error: 1.0023, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6458, f_measure: 0.6837, kappa: 0.2186, kb_relative_information_score: 286.9249, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6778, predictive_accuracy: 0.6993, prior_entropy: 0.8796, recall: 0.6993, relative_absolute_error: 0.8672, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4581, root_relative_squared_error: 1.0023, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6458, f_measure: 0.6837, kappa: 0.2186, kb_relative_information_score: 286.9249, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6778, predictive_accuracy: 0.6993, prior_entropy: 0.8796, recall: 0.6993, relative_absolute_error: 0.8672, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4581, root_relative_squared_error: 1.0023, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6458, f_measure: 0.6835, kappa: 0.218, kb_relative_information_score: 286.8037, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6775, predictive_accuracy: 0.699, prior_entropy: 0.8796, recall: 0.699, relative_absolute_error: 0.8672, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4581, root_relative_squared_error: 1.0023, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6458, f_measure: 0.6803, kappa: 0.2091, kb_relative_information_score: 293.8982, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6743, predictive_accuracy: 0.6972, prior_entropy: 0.8796, recall: 0.6972, relative_absolute_error: 0.8659, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9986, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.5801, kb_relative_information_score: -3.7757, mean_absolute_error: 0.4184, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.4939, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.0001, scimark_benchmark: 941.9549,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6836, f_measure: 0.6983, kappa: 0.2489, kb_relative_information_score: 755.2534, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6968, predictive_accuracy: 0.7206, prior_entropy: 0.8796, recall: 0.7206, relative_absolute_error: 0.688, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4891, root_relative_squared_error: 1.0701, scimark_benchmark: 938.3115, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.7126, kappa: 0.2912, kb_relative_information_score: 532.5695, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.7087, predictive_accuracy: 0.7255, prior_entropy: 0.8796, recall: 0.7255, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.9689, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.7126, kappa: 0.2912, kb_relative_information_score: 532.5695, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.7087, predictive_accuracy: 0.7255, prior_entropy: 0.8796, recall: 0.7255, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.9689, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.6985, kappa: 0.2555, kb_relative_information_score: 406.1697, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6937, predictive_accuracy: 0.7129, prior_entropy: 0.8796, recall: 0.7129, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9855, scimark_benchmark: 1331.4379, usercpu_time_millis: 2200, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.7126, kappa: 0.2912, kb_relative_information_score: 532.5695, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.7087, predictive_accuracy: 0.7255, prior_entropy: 0.8796, recall: 0.7255, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.9689, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6847, f_measure: 0.6988, kappa: 0.2539, kb_relative_information_score: 16.2978, mean_absolute_error: 0.3984, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6947, predictive_accuracy: 0.7157, prior_entropy: 0.8796, recall: 0.7157, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.9638, scimark_benchmark: 1346.1568, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5068, f_measure: 0.5908, kappa: 0.019, kb_relative_information_score: 692.7975, mean_absolute_error: 0.2948, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6898, predictive_accuracy: 0.7052, prior_entropy: 0.8796, recall: 0.7052, relative_absolute_error: 0.7046, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5429, root_relative_squared_error: 1.1879, scimark_benchmark: 1345.6844, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7219, kappa: 0.3185, kb_relative_information_score: 549.8095, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.718, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.7829, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9962, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.7126, kappa: 0.2912, kb_relative_information_score: 532.5695, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.7087, predictive_accuracy: 0.7255, prior_entropy: 0.8796, recall: 0.7255, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.9689, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, f_measure: 0.6645, kappa: 0.1608, kb_relative_information_score: 226.7933, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6689, predictive_accuracy: 0.7059, prior_entropy: 0.8796, recall: 0.7059, relative_absolute_error: 0.8941, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.9782, scimark_benchmark: 1342.2845, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.6985, kappa: 0.2555, kb_relative_information_score: 406.1697, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6937, predictive_accuracy: 0.7129, prior_entropy: 0.8796, recall: 0.7129, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9855, scimark_benchmark: 1326.2019, usercpu_time_millis: 1460, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.7126, kappa: 0.2912, kb_relative_information_score: 532.5695, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.7087, predictive_accuracy: 0.7255, prior_entropy: 0.8796, recall: 0.7255, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.9689, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6726, f_measure: 0.7014, kappa: 0.2605, kb_relative_information_score: 546.3155, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6974, predictive_accuracy: 0.7178, prior_entropy: 0.8796, recall: 0.7178, relative_absolute_error: 0.7764, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4659, root_relative_squared_error: 1.0195, scimark_benchmark: 1350.8432, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, f_measure: 0.6925, kappa: 0.2354, kb_relative_information_score: 301.6356, mean_absolute_error: 0.3606, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6895, predictive_accuracy: 0.714, prior_entropy: 0.8796, recall: 0.714, relative_absolute_error: 0.8621, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.9841, scimark_benchmark: 1310.6554, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5941, f_measure: 0.6939, kappa: 0.2353, kb_relative_information_score: 315.2552, mean_absolute_error: 0.3745, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.7223, predictive_accuracy: 0.7385, prior_entropy: 0.8796, recall: 0.7385, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.446, root_relative_squared_error: 0.976, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5938, f_measure: 0.6787, kappa: 0.2049, kb_relative_information_score: 623.566, mean_absolute_error: 0.3042, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6725, predictive_accuracy: 0.6958, prior_entropy: 0.8796, recall: 0.6958, relative_absolute_error: 0.7272, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5515, root_relative_squared_error: 1.2068, scimark_benchmark: 1362.1309, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6654, f_measure: 0.6916, kappa: 0.2339, kb_relative_information_score: 348.849, mean_absolute_error: 0.3592, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6878, predictive_accuracy: 0.7119, prior_entropy: 0.8796, recall: 0.7119, relative_absolute_error: 0.8588, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.9826, scimark_benchmark: 1336.0954, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.7126, kappa: 0.2912, kb_relative_information_score: 532.5695, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.7087, predictive_accuracy: 0.7255, prior_entropy: 0.8796, recall: 0.7255, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.9689, scimark_benchmark: 1405.2896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.7126, kappa: 0.2912, kb_relative_information_score: 532.5695, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.7087, predictive_accuracy: 0.7255, prior_entropy: 0.8796, recall: 0.7255, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.9689, scimark_benchmark: 1342.6744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.6985, kappa: 0.2555, kb_relative_information_score: 406.1697, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6937, predictive_accuracy: 0.7129, prior_entropy: 0.8796, recall: 0.7129, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9855, scimark_benchmark: 1321.4561, usercpu_time_millis: 1500, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.7126, kappa: 0.2912, kb_relative_information_score: 532.5695, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.7087, predictive_accuracy: 0.7255, prior_entropy: 0.8796, recall: 0.7255, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.9689, scimark_benchmark: 1296.9979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6847, f_measure: 0.6988, kappa: 0.2539, kb_relative_information_score: 16.2978, mean_absolute_error: 0.3984, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6947, predictive_accuracy: 0.7157, prior_entropy: 0.8796, recall: 0.7157, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.9638, scimark_benchmark: 1318.3027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5068, f_measure: 0.5908, kappa: 0.019, kb_relative_information_score: 692.7975, mean_absolute_error: 0.2948, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6898, predictive_accuracy: 0.7052, prior_entropy: 0.8796, recall: 0.7052, relative_absolute_error: 0.7046, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5429, root_relative_squared_error: 1.1879, scimark_benchmark: 1359.7293, usercpu_time_millis: 20, usercpu_time_millis_testing: 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

OpenML bootcamp

From your own software

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

OpenML APIs