Task
Supervised Classification on fri_c3_1000_5

Supervised Classification on fri_c3_1000_5

Task 4383 Supervised Classification fri_c3_1000_5 195 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8654, kappa: 0.7267, kb_relative_information_score: 6398.3075, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8657, predictive_accuracy: 0.8652, prior_entropy: 0.9886, recall: 0.8652, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6541, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.8524, kappa: 0.7002, kb_relative_information_score: 4730.3835, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8525, predictive_accuracy: 0.8523, prior_entropy: 0.9886, recall: 0.8523, relative_absolute_error: 0.5699, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.69, scimark_benchmark: 972.587, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.8638, kappa: 0.7231, kb_relative_information_score: 5999.1962, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8638, predictive_accuracy: 0.8639, prior_entropy: 0.9886, recall: 0.8639, relative_absolute_error: 0.4284, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.322, root_relative_squared_error: 0.6491, scimark_benchmark: 934.3687, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8995, kappa: 0.7956, kb_relative_information_score: 7942.9048, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8994, predictive_accuracy: 0.8995, prior_entropy: 0.9886, recall: 0.8995, relative_absolute_error: 0.2042, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.317, root_relative_squared_error: 0.6391, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8995, kappa: 0.7956, kb_relative_information_score: 7942.9048, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8994, predictive_accuracy: 0.8995, prior_entropy: 0.9886, recall: 0.8995, relative_absolute_error: 0.2042, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.317, root_relative_squared_error: 0.6391, scimark_benchmark: 904.0772, usercpu_time_millis: 140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.8351, kappa: 0.664, kb_relative_information_score: 5831.1082, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8359, predictive_accuracy: 0.8359, prior_entropy: 0.9886, recall: 0.8359, relative_absolute_error: 0.4359, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.6802, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8557, kappa: 0.7062, kb_relative_information_score: 6253.7473, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8559, predictive_accuracy: 0.8561, prior_entropy: 0.9886, recall: 0.8561, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6389, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.8938, kappa: 0.7839, kb_relative_information_score: 6807.7494, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8938, predictive_accuracy: 0.8939, prior_entropy: 0.9886, recall: 0.8939, relative_absolute_error: 0.3436, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.5608, scimark_benchmark: 941.6675, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7618, kappa: 0.5159, kb_relative_information_score: 2804.9384, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.7618, predictive_accuracy: 0.7619, prior_entropy: 0.9886, recall: 0.7619, relative_absolute_error: 0.7512, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8394, scimark_benchmark: 934.2976, usercpu_time_millis: 13530, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 13370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.8667, kappa: 0.7286, kb_relative_information_score: 6568.9148, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8667, predictive_accuracy: 0.8669, prior_entropy: 0.9886, recall: 0.8669, relative_absolute_error: 0.361, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.6583, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8995, kappa: 0.7956, kb_relative_information_score: 7942.9048, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8994, predictive_accuracy: 0.8995, prior_entropy: 0.9886, recall: 0.8995, relative_absolute_error: 0.2042, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.317, root_relative_squared_error: 0.6391, scimark_benchmark: 941.3847, usercpu_time_millis: 140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8995, kappa: 0.7956, kb_relative_information_score: 7942.9048, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8994, predictive_accuracy: 0.8995, prior_entropy: 0.9886, recall: 0.8995, relative_absolute_error: 0.2042, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.317, root_relative_squared_error: 0.6391, scimark_benchmark: 936.3373, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8557, kappa: 0.7062, kb_relative_information_score: 6253.7473, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8559, predictive_accuracy: 0.8561, prior_entropy: 0.9886, recall: 0.8561, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6389, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8557, kappa: 0.7062, kb_relative_information_score: 6253.7473, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8559, predictive_accuracy: 0.8561, prior_entropy: 0.9886, recall: 0.8561, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6389, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.908, kappa: 0.8128, kb_relative_information_score: 7314.5547, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.908, predictive_accuracy: 0.9081, prior_entropy: 0.9886, recall: 0.9081, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.5158, scimark_benchmark: 943.1009, usercpu_time_millis: 270, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8654, kappa: 0.7267, kb_relative_information_score: 6398.3075, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8657, predictive_accuracy: 0.8652, prior_entropy: 0.9886, recall: 0.8652, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6541, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.8524, kappa: 0.7002, kb_relative_information_score: 4730.3835, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8525, predictive_accuracy: 0.8523, prior_entropy: 0.9886, recall: 0.8523, relative_absolute_error: 0.5699, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.69, scimark_benchmark: 908.9569, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.8638, kappa: 0.7231, kb_relative_information_score: 5999.1962, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8638, predictive_accuracy: 0.8639, prior_entropy: 0.9886, recall: 0.8639, relative_absolute_error: 0.4284, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.322, root_relative_squared_error: 0.6491, scimark_benchmark: 940.1541, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8995, kappa: 0.7956, kb_relative_information_score: 7942.9048, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8994, predictive_accuracy: 0.8995, prior_entropy: 0.9886, recall: 0.8995, relative_absolute_error: 0.2042, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.317, root_relative_squared_error: 0.6391, scimark_benchmark: 927.2882, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8995, kappa: 0.7956, kb_relative_information_score: 7942.9048, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8994, predictive_accuracy: 0.8995, prior_entropy: 0.9886, recall: 0.8995, relative_absolute_error: 0.2042, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.317, root_relative_squared_error: 0.6391, scimark_benchmark: 943.6618, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8557, kappa: 0.7062, kb_relative_information_score: 6253.7473, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8559, predictive_accuracy: 0.8561, prior_entropy: 0.9886, recall: 0.8561, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6389, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8557, kappa: 0.7062, kb_relative_information_score: 6253.7473, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8559, predictive_accuracy: 0.8561, prior_entropy: 0.9886, recall: 0.8561, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6389, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8557, kappa: 0.7062, kb_relative_information_score: 6253.7473, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8559, predictive_accuracy: 0.8561, prior_entropy: 0.9886, recall: 0.8561, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6389, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.8938, kappa: 0.7839, kb_relative_information_score: 6807.7494, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8938, predictive_accuracy: 0.8939, prior_entropy: 0.9886, recall: 0.8939, relative_absolute_error: 0.3436, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.5608, scimark_benchmark: 903.2737, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7618, kappa: 0.5159, kb_relative_information_score: 2804.9384, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.7618, predictive_accuracy: 0.7619, prior_entropy: 0.9886, recall: 0.7619, relative_absolute_error: 0.7512, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8394, scimark_benchmark: 919.3788, usercpu_time_millis: 12890, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 12770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8557, kappa: 0.7062, kb_relative_information_score: 6253.7473, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8559, predictive_accuracy: 0.8561, prior_entropy: 0.9886, recall: 0.8561, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6389, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.8667, kappa: 0.7286, kb_relative_information_score: 6568.9148, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8667, predictive_accuracy: 0.8669, prior_entropy: 0.9886, recall: 0.8669, relative_absolute_error: 0.361, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.6583, scimark_benchmark: 936.9595, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.908, kappa: 0.8128, kb_relative_information_score: 7314.5547, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.908, predictive_accuracy: 0.9081, prior_entropy: 0.9886, recall: 0.9081, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.5158, scimark_benchmark: 938.988, usercpu_time_millis: 360, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9142, kappa: 0.8255, kb_relative_information_score: 7054.8914, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.9142, predictive_accuracy: 0.9143, prior_entropy: 0.9886, recall: 0.9143, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.4946, scimark_benchmark: 936.2574, usercpu_time_millis: 3160, usercpu_time_millis_testing: 650, usercpu_time_millis_training: 2510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9141, kappa: 0.8253, kb_relative_information_score: 7052.3838, mean_absolute_error: 0.1596, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.9141, predictive_accuracy: 0.9142, prior_entropy: 0.9886, recall: 0.9142, relative_absolute_error: 0.3243, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2461, root_relative_squared_error: 0.4961, scimark_benchmark: 943.6618, usercpu_time_millis: 1600, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 1280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9115, kappa: 0.8201, kb_relative_information_score: 7019.3301, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.9115, predictive_accuracy: 0.9116, prior_entropy: 0.9886, recall: 0.9116, relative_absolute_error: 0.3272, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2487, root_relative_squared_error: 0.5014, scimark_benchmark: 933.9243, usercpu_time_millis: 790, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9093, kappa: 0.8156, kb_relative_information_score: 7052.45, mean_absolute_error: 0.1588, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.9093, predictive_accuracy: 0.9094, prior_entropy: 0.9886, recall: 0.9094, relative_absolute_error: 0.3227, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.503, scimark_benchmark: 890.4736, usercpu_time_millis: 400, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9066, kappa: 0.81, kb_relative_information_score: 7039.8269, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.9066, predictive_accuracy: 0.9067, prior_entropy: 0.9886, recall: 0.9067, relative_absolute_error: 0.3219, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.5144, scimark_benchmark: 918.0831, usercpu_time_millis: 200, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.8702, kappa: 0.7357, kb_relative_information_score: 6533.1798, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8705, predictive_accuracy: 0.8706, prior_entropy: 0.9886, recall: 0.8706, relative_absolute_error: 0.3659, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.6099, scimark_benchmark: 889.4922, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.8702, kappa: 0.7357, kb_relative_information_score: 6533.1798, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8705, predictive_accuracy: 0.8706, prior_entropy: 0.9886, recall: 0.8706, relative_absolute_error: 0.3659, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.6099, scimark_benchmark: 930.0565, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.8702, kappa: 0.7357, kb_relative_information_score: 6533.1798, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8705, predictive_accuracy: 0.8706, prior_entropy: 0.9886, recall: 0.8706, relative_absolute_error: 0.3659, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.6099, scimark_benchmark: 929.0296, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.8675, kappa: 0.7302, kb_relative_information_score: 6408.2545, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8678, predictive_accuracy: 0.8679, prior_entropy: 0.9886, recall: 0.8679, relative_absolute_error: 0.3804, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.6121, scimark_benchmark: 936.1714, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.8557, kappa: 0.706, kb_relative_information_score: 5569.8491, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8563, predictive_accuracy: 0.8563, prior_entropy: 0.9886, recall: 0.8563, relative_absolute_error: 0.4742, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3301, root_relative_squared_error: 0.6655, scimark_benchmark: 929.0296, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8654, kappa: 0.7267, kb_relative_information_score: 6398.3075, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8657, predictive_accuracy: 0.8652, prior_entropy: 0.9886, recall: 0.8652, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6541, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8995, kappa: 0.7956, kb_relative_information_score: 7942.9048, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8994, predictive_accuracy: 0.8995, prior_entropy: 0.9886, recall: 0.8995, relative_absolute_error: 0.2042, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.317, root_relative_squared_error: 0.6391, scimark_benchmark: 1349.1517, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.8351, kappa: 0.664, kb_relative_information_score: 5831.1082, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8359, predictive_accuracy: 0.8359, prior_entropy: 0.9886, recall: 0.8359, relative_absolute_error: 0.4359, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.6802, scimark_benchmark: 1306.9281, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8557, kappa: 0.7062, kb_relative_information_score: 6253.7473, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8559, predictive_accuracy: 0.8561, prior_entropy: 0.9886, recall: 0.8561, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6389, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.8351, kappa: 0.664, kb_relative_information_score: 5831.1082, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8359, predictive_accuracy: 0.8359, prior_entropy: 0.9886, recall: 0.8359, relative_absolute_error: 0.4359, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.6802, scimark_benchmark: 1318.4315, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8557, kappa: 0.7062, kb_relative_information_score: 6253.7473, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8559, predictive_accuracy: 0.8561, prior_entropy: 0.9886, recall: 0.8561, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6389, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8557, kappa: 0.7062, kb_relative_information_score: 6253.7473, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8559, predictive_accuracy: 0.8561, prior_entropy: 0.9886, recall: 0.8561, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6389, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7618, kappa: 0.5159, kb_relative_information_score: 2804.9384, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.7618, predictive_accuracy: 0.7619, prior_entropy: 0.9886, recall: 0.7619, relative_absolute_error: 0.7512, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8394, scimark_benchmark: 1332.1612, usercpu_time_millis: 8750, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 8640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8557, kappa: 0.7062, kb_relative_information_score: 6253.7473, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8559, predictive_accuracy: 0.8561, prior_entropy: 0.9886, recall: 0.8561, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6389, scimark_benchmark: 1354.5533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.8351, kappa: 0.664, kb_relative_information_score: 5831.1082, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8359, predictive_accuracy: 0.8359, prior_entropy: 0.9886, recall: 0.8359, relative_absolute_error: 0.4359, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.6802, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8557, kappa: 0.7062, kb_relative_information_score: 6253.7473, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8559, predictive_accuracy: 0.8561, prior_entropy: 0.9886, recall: 0.8561, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6389, scimark_benchmark: 1332.9478,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8557, kappa: 0.7062, kb_relative_information_score: 6253.7473, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8559, predictive_accuracy: 0.8561, prior_entropy: 0.9886, recall: 0.8561, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6389, scimark_benchmark: 1332.7986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8557, kappa: 0.7062, kb_relative_information_score: 6253.7473, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8559, predictive_accuracy: 0.8561, prior_entropy: 0.9886, recall: 0.8561, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6389, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.8667, kappa: 0.7286, kb_relative_information_score: 6568.9148, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8667, predictive_accuracy: 0.8669, prior_entropy: 0.9886, recall: 0.8669, relative_absolute_error: 0.361, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.6583, scimark_benchmark: 1358.6198, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.908, kappa: 0.8128, kb_relative_information_score: 7314.5547, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.908, predictive_accuracy: 0.9081, prior_entropy: 0.9886, recall: 0.9081, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.5158, scimark_benchmark: 1320.8283, usercpu_time_millis: 250, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.8638, kappa: 0.7231, kb_relative_information_score: 5999.1962, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8638, predictive_accuracy: 0.8639, prior_entropy: 0.9886, recall: 0.8639, relative_absolute_error: 0.4284, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.322, root_relative_squared_error: 0.6491, scimark_benchmark: 1339.6197, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8995, kappa: 0.7956, kb_relative_information_score: 7942.9048, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8994, predictive_accuracy: 0.8995, prior_entropy: 0.9886, recall: 0.8995, relative_absolute_error: 0.2042, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.317, root_relative_squared_error: 0.6391, scimark_benchmark: 1307.9497, usercpu_time_millis: 130, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8557, kappa: 0.7062, kb_relative_information_score: 6253.7473, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8559, predictive_accuracy: 0.8561, prior_entropy: 0.9886, recall: 0.8561, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6389, scimark_benchmark: 1342.6744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.908, kappa: 0.8128, kb_relative_information_score: 7314.5547, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.908, predictive_accuracy: 0.9081, prior_entropy: 0.9886, recall: 0.9081, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.5158, scimark_benchmark: 1313.8988, usercpu_time_millis: 230, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.8524, kappa: 0.7002, kb_relative_information_score: 4730.3835, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.8525, predictive_accuracy: 0.8523, prior_entropy: 0.9886, recall: 0.8523, relative_absolute_error: 0.5699, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.69, scimark_benchmark: 1349.9643, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.905, kappa: 0.8072, kb_relative_information_score: 7816.0951, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.4921, number_of_instances: 10000, precision: 0.9055, predictive_accuracy: 0.9048, prior_entropy: 0.9886, recall: 0.9048, relative_absolute_error: 0.2225, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.5857, scimark_benchmark: 1360.6367, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,

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