OpenML
Supervised Classification on fri_c4_250_10

Supervised Classification on fri_c4_250_10

Task 4432 Supervised Classification fri_c4_250_10 214 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6749, f_measure: 0.6777, kappa: 0.3531, kb_relative_information_score: 894.5615, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.6816, predictive_accuracy: 0.6808, prior_entropy: 0.9971, recall: 0.6808, relative_absolute_error: 0.641, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.565, root_relative_squared_error: 1.1323, scimark_benchmark: 1352.9101, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8449, kappa: 0.6887, kb_relative_information_score: 1221.963, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.8452, predictive_accuracy: 0.8448, prior_entropy: 0.9971, recall: 0.8448, relative_absolute_error: 0.5503, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.6803, scimark_benchmark: 1342.6744, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6749, f_measure: 0.6777, kappa: 0.3531, kb_relative_information_score: 894.5615, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.6816, predictive_accuracy: 0.6808, prior_entropy: 0.9971, recall: 0.6808, relative_absolute_error: 0.641, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.565, root_relative_squared_error: 1.1323, scimark_benchmark: 1318.4315, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.7868, kappa: 0.572, kb_relative_information_score: 1239.5549, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7869, predictive_accuracy: 0.7868, prior_entropy: 0.9971, recall: 0.7868, relative_absolute_error: 0.5237, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.8005, scimark_benchmark: 1350.8432, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6749, f_measure: 0.6777, kappa: 0.3531, kb_relative_information_score: 894.5615, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.6816, predictive_accuracy: 0.6808, prior_entropy: 0.9971, recall: 0.6808, relative_absolute_error: 0.641, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.565, root_relative_squared_error: 1.1323, scimark_benchmark: 1341.3551, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7705, kappa: 0.5387, kb_relative_information_score: 1104.5176, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7706, predictive_accuracy: 0.7708, prior_entropy: 0.9971, recall: 0.7708, relative_absolute_error: 0.5791, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.7888, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7705, kappa: 0.5387, kb_relative_information_score: 1104.5176, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7706, predictive_accuracy: 0.7708, prior_entropy: 0.9971, recall: 0.7708, relative_absolute_error: 0.5791, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.7888, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7705, kappa: 0.5387, kb_relative_information_score: 1104.5176, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7706, predictive_accuracy: 0.7708, prior_entropy: 0.9971, recall: 0.7708, relative_absolute_error: 0.5791, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.7888, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.7868, kappa: 0.572, kb_relative_information_score: 1239.5549, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7869, predictive_accuracy: 0.7868, prior_entropy: 0.9971, recall: 0.7868, relative_absolute_error: 0.5237, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.8005, scimark_benchmark: 1297.2338, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.7942, kappa: 0.5875, kb_relative_information_score: 1288.5057, mean_absolute_error: 0.2499, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7952, predictive_accuracy: 0.794, prior_entropy: 0.9971, recall: 0.794, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.7557, scimark_benchmark: 1371.9645, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8496, f_measure: 0.7621, kappa: 0.522, kb_relative_information_score: 1066.518, mean_absolute_error: 0.2958, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7622, predictive_accuracy: 0.7624, prior_entropy: 0.9971, recall: 0.7624, relative_absolute_error: 0.594, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.7963, scimark_benchmark: 1348.2476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7705, kappa: 0.5387, kb_relative_information_score: 1104.5176, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7706, predictive_accuracy: 0.7708, prior_entropy: 0.9971, recall: 0.7708, relative_absolute_error: 0.5791, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.7888, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7705, kappa: 0.5387, kb_relative_information_score: 1104.5176, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7706, predictive_accuracy: 0.7708, prior_entropy: 0.9971, recall: 0.7708, relative_absolute_error: 0.5791, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.7888, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7705, kappa: 0.5387, kb_relative_information_score: 1104.5176, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7706, predictive_accuracy: 0.7708, prior_entropy: 0.9971, recall: 0.7708, relative_absolute_error: 0.5791, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.7888, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7705, kappa: 0.5387, kb_relative_information_score: 1104.5176, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7706, predictive_accuracy: 0.7708, prior_entropy: 0.9971, recall: 0.7708, relative_absolute_error: 0.5791, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.7888, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7705, kappa: 0.5387, kb_relative_information_score: 1104.5176, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7706, predictive_accuracy: 0.7708, prior_entropy: 0.9971, recall: 0.7708, relative_absolute_error: 0.5791, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.7888, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.7868, kappa: 0.572, kb_relative_information_score: 1239.5549, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7869, predictive_accuracy: 0.7868, prior_entropy: 0.9971, recall: 0.7868, relative_absolute_error: 0.5237, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.8005, scimark_benchmark: 1328.1857, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8229, kappa: 0.644, kb_relative_information_score: 803.0247, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.8233, predictive_accuracy: 0.8232, prior_entropy: 0.9971, recall: 0.8232, relative_absolute_error: 0.7269, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3885, root_relative_squared_error: 0.7787, scimark_benchmark: 1330.9699, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.7913, kappa: 0.581, kb_relative_information_score: 1031.9237, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7914, predictive_accuracy: 0.7912, prior_entropy: 0.9971, recall: 0.7912, relative_absolute_error: 0.6184, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3862, root_relative_squared_error: 0.774, scimark_benchmark: 942.9708, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7705, kappa: 0.5387, kb_relative_information_score: 1104.5176, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7706, predictive_accuracy: 0.7708, prior_entropy: 0.9971, recall: 0.7708, relative_absolute_error: 0.5791, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.7888, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7705, kappa: 0.5387, kb_relative_information_score: 1104.5176, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7706, predictive_accuracy: 0.7708, prior_entropy: 0.9971, recall: 0.7708, relative_absolute_error: 0.5791, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.7888, scimark_benchmark: 1335.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8449, kappa: 0.6887, kb_relative_information_score: 1221.963, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.8452, predictive_accuracy: 0.8448, prior_entropy: 0.9971, recall: 0.8448, relative_absolute_error: 0.5503, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.6803, scimark_benchmark: 1343.4596, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8479, kappa: 0.6945, kb_relative_information_score: 1599.5283, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.8479, predictive_accuracy: 0.848, prior_entropy: 0.9971, recall: 0.848, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.6746, scimark_benchmark: 1064.8317, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7435, kappa: 0.4844, kb_relative_information_score: 1003.9322, mean_absolute_error: 0.3082, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7444, predictive_accuracy: 0.7444, prior_entropy: 0.9971, recall: 0.7444, relative_absolute_error: 0.6189, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8795, scimark_benchmark: 1334.6745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.6996, kappa: 0.3968, kb_relative_information_score: 933.4623, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.6996, predictive_accuracy: 0.6996, prior_entropy: 0.9971, recall: 0.6996, relative_absolute_error: 0.6289, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5052, root_relative_squared_error: 1.0125, scimark_benchmark: 1288.1375, usercpu_time_millis: 1480, usercpu_time_millis_testing: 1480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.7913, kappa: 0.581, kb_relative_information_score: 1031.9237, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7914, predictive_accuracy: 0.7912, prior_entropy: 0.9971, recall: 0.7912, relative_absolute_error: 0.6184, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3862, root_relative_squared_error: 0.774, scimark_benchmark: 1337.5749, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5975, f_measure: 0.617, kappa: 0.2304, kb_relative_information_score: 252.6536, mean_absolute_error: 0.4565, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.6168, predictive_accuracy: 0.6172, prior_entropy: 0.9971, recall: 0.6172, relative_absolute_error: 0.9168, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.9858, scimark_benchmark: 1340.1351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.8535, kappa: 0.7057, kb_relative_information_score: 1684.4668, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.8535, predictive_accuracy: 0.8536, prior_entropy: 0.9971, recall: 0.8536, relative_absolute_error: 0.3333, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.6839, scimark_benchmark: 1337.5749, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.7942, kappa: 0.5875, kb_relative_information_score: 1288.5057, mean_absolute_error: 0.2499, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7952, predictive_accuracy: 0.794, prior_entropy: 0.9971, recall: 0.794, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.7557, scimark_benchmark: 892.0148, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.812, kappa: 0.6223, kb_relative_information_score: 1060.3146, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.8119, predictive_accuracy: 0.812, prior_entropy: 0.9971, recall: 0.812, relative_absolute_error: 0.6163, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.722, scimark_benchmark: 1371.9645, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7435, kappa: 0.4844, kb_relative_information_score: 1003.9322, mean_absolute_error: 0.3082, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7444, predictive_accuracy: 0.7444, prior_entropy: 0.9971, recall: 0.7444, relative_absolute_error: 0.6189, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8795, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8678, f_measure: 0.788, kappa: 0.5742, kb_relative_information_score: 1064.9277, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.788, predictive_accuracy: 0.788, prior_entropy: 0.9971, recall: 0.788, relative_absolute_error: 0.6054, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.7646, scimark_benchmark: 1324.5988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.8108, kappa: 0.6199, kb_relative_information_score: 1063.8383, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.8107, predictive_accuracy: 0.8108, prior_entropy: 0.9971, recall: 0.8108, relative_absolute_error: 0.6144, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.7216, scimark_benchmark: 892.0148, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.7991, kappa: 0.5962, kb_relative_information_score: 1438.4855, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7998, predictive_accuracy: 0.7996, prior_entropy: 0.9971, recall: 0.7996, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.8088, scimark_benchmark: 1064.8317, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8193, kappa: 0.6369, kb_relative_information_score: 805.4114, mean_absolute_error: 0.3614, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.8196, predictive_accuracy: 0.8196, prior_entropy: 0.9971, recall: 0.8196, relative_absolute_error: 0.7258, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.7782, scimark_benchmark: 1325.3444, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.8132, kappa: 0.6245, kb_relative_information_score: 801.3058, mean_absolute_error: 0.3618, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.8137, predictive_accuracy: 0.8136, prior_entropy: 0.9971, recall: 0.8136, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.7819, scimark_benchmark: 1331.2332, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7705, kappa: 0.5387, kb_relative_information_score: 1104.5176, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7706, predictive_accuracy: 0.7708, prior_entropy: 0.9971, recall: 0.7708, relative_absolute_error: 0.5791, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.7888, scimark_benchmark: 854.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.7876, kappa: 0.5734, kb_relative_information_score: 1377.2442, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7876, predictive_accuracy: 0.7876, prior_entropy: 0.9971, recall: 0.7876, relative_absolute_error: 0.4554, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.888, scimark_benchmark: 1347.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8388, kappa: 0.6762, kb_relative_information_score: 1473.4507, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.8388, predictive_accuracy: 0.8388, prior_entropy: 0.9971, recall: 0.8388, relative_absolute_error: 0.4306, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.6842, scimark_benchmark: 854.5188, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8496, f_measure: 0.7621, kappa: 0.522, kb_relative_information_score: 1066.518, mean_absolute_error: 0.2958, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7622, predictive_accuracy: 0.7624, prior_entropy: 0.9971, recall: 0.7624, relative_absolute_error: 0.594, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.7963, scimark_benchmark: 833.3193,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6749, f_measure: 0.6777, kappa: 0.3531, kb_relative_information_score: 894.5615, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.6816, predictive_accuracy: 0.6808, prior_entropy: 0.9971, recall: 0.6808, relative_absolute_error: 0.641, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.565, root_relative_squared_error: 1.1323, scimark_benchmark: 1314.1041, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.8516, kappa: 0.702, kb_relative_information_score: 1634.7585, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.8516, predictive_accuracy: 0.8516, prior_entropy: 0.9971, recall: 0.8516, relative_absolute_error: 0.3569, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.336, root_relative_squared_error: 0.6733, scimark_benchmark: 938.9967, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.8412, kappa: 0.6811, kb_relative_information_score: 1518.9703, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.8412, predictive_accuracy: 0.8412, prior_entropy: 0.9971, recall: 0.8412, relative_absolute_error: 0.4089, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.6826, scimark_benchmark: 915.9693, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.812, kappa: 0.6226, kb_relative_information_score: 1346.5265, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.8121, predictive_accuracy: 0.812, prior_entropy: 0.9971, recall: 0.812, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7171, scimark_benchmark: 1372.2145, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.7927, kappa: 0.5835, kb_relative_information_score: 1168.001, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7927, predictive_accuracy: 0.7928, prior_entropy: 0.9971, recall: 0.7928, relative_absolute_error: 0.5592, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.7441, scimark_benchmark: 943.1756, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.7651, kappa: 0.5278, kb_relative_information_score: 974.377, mean_absolute_error: 0.3183, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7655, predictive_accuracy: 0.7656, prior_entropy: 0.9971, recall: 0.7656, relative_absolute_error: 0.6392, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.7908, scimark_benchmark: 876.0664, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7138, f_measure: 0.6449, kappa: 0.2861, kb_relative_information_score: 568.9329, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.6451, predictive_accuracy: 0.646, prior_entropy: 0.9971, recall: 0.646, relative_absolute_error: 0.7831, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4681, root_relative_squared_error: 0.938, scimark_benchmark: 889.3151, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7219, f_measure: 0.6636, kappa: 0.3239, kb_relative_information_score: 682.413, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.6635, predictive_accuracy: 0.664, prior_entropy: 0.9971, recall: 0.664, relative_absolute_error: 0.7331, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4745, root_relative_squared_error: 0.9509, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5569, f_measure: 0.5537, kappa: 0.1128, kb_relative_information_score: 256.8585, mean_absolute_error: 0.446, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.5594, predictive_accuracy: 0.554, prior_entropy: 0.9971, recall: 0.554, relative_absolute_error: 0.8956, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6678, root_relative_squared_error: 1.3384, scimark_benchmark: 854.5188, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3695, kb_relative_information_score: 146.216, mean_absolute_error: 0.468, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.283, predictive_accuracy: 0.532, prior_entropy: 0.9971, recall: 0.532, relative_absolute_error: 0.9398, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6841, root_relative_squared_error: 1.371, scimark_benchmark: 1331.6907, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6359, f_measure: 0.6378, kappa: 0.2722, kb_relative_information_score: 679.3116, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.6376, predictive_accuracy: 0.638, prior_entropy: 0.9971, recall: 0.638, relative_absolute_error: 0.727, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6017, root_relative_squared_error: 1.2058, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6945, f_measure: 0.6416, kappa: 0.2796, kb_relative_information_score: 342.0275, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.6416, predictive_accuracy: 0.6424, prior_entropy: 0.9971, recall: 0.6424, relative_absolute_error: 0.8848, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.47, root_relative_squared_error: 0.9419, scimark_benchmark: 1386.5717, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6301, f_measure: 0.6322, kappa: 0.2608, kb_relative_information_score: 653.1597, mean_absolute_error: 0.3672, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.6321, predictive_accuracy: 0.6328, prior_entropy: 0.9971, recall: 0.6328, relative_absolute_error: 0.7374, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.606, root_relative_squared_error: 1.2144, scimark_benchmark: 935.5075, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.685, f_measure: 0.6216, kappa: 0.2394, kb_relative_information_score: 380.405, mean_absolute_error: 0.4314, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.6215, predictive_accuracy: 0.6224, prior_entropy: 0.9971, recall: 0.6224, relative_absolute_error: 0.8664, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4748, root_relative_squared_error: 0.9516, scimark_benchmark: 908.2231, usercpu_time_millis: 2160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8449, kappa: 0.6887, kb_relative_information_score: 1221.963, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.8452, predictive_accuracy: 0.8448, prior_entropy: 0.9971, recall: 0.8448, relative_absolute_error: 0.5503, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.6803, scimark_benchmark: 1304.6687, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7645, f_measure: 0.7653, kappa: 0.5287, kb_relative_information_score: 1319.0262, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7654, predictive_accuracy: 0.7652, prior_entropy: 0.9971, recall: 0.7652, relative_absolute_error: 0.4715, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9711, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7819, f_measure: 0.7353, kappa: 0.4685, kb_relative_information_score: 970.1956, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7354, predictive_accuracy: 0.7352, prior_entropy: 0.9971, recall: 0.7352, relative_absolute_error: 0.6322, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9011, scimark_benchmark: 1318.5526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7723, kappa: 0.5427, kb_relative_information_score: 1259.8285, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7723, predictive_accuracy: 0.7724, prior_entropy: 0.9971, recall: 0.7724, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4495, root_relative_squared_error: 0.9009, scimark_benchmark: 1310.3951, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.682, f_measure: 0.6835, kappa: 0.3642, kb_relative_information_score: 908.6432, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.6834, predictive_accuracy: 0.6836, prior_entropy: 0.9971, recall: 0.6836, relative_absolute_error: 0.6354, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5625, root_relative_squared_error: 1.1273, scimark_benchmark: 1330.2678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5389, f_measure: 0.4453, kappa: 0.074, kb_relative_information_score: 63.7371, mean_absolute_error: 0.4844, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.5868, predictive_accuracy: 0.5156, prior_entropy: 0.9971, recall: 0.5156, relative_absolute_error: 0.9728, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.696, root_relative_squared_error: 1.3948, scimark_benchmark: 1327.8711, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.7849, kappa: 0.5677, kb_relative_information_score: 1324.4013, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7851, predictive_accuracy: 0.7852, prior_entropy: 0.9971, recall: 0.7852, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.8675, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.6672, kappa: 0.3311, kb_relative_information_score: 832.1993, mean_absolute_error: 0.3316, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.6677, predictive_accuracy: 0.6684, prior_entropy: 0.9971, recall: 0.6684, relative_absolute_error: 0.6659, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5758, root_relative_squared_error: 1.1541, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7349, f_measure: 0.7363, kappa: 0.4702, kb_relative_information_score: 1174.1852, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7362, predictive_accuracy: 0.7364, prior_entropy: 0.9971, recall: 0.7364, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5134, root_relative_squared_error: 1.0289, scimark_benchmark: 1341.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.3695, kb_relative_information_score: -0.6164, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.283, predictive_accuracy: 0.532, prior_entropy: 0.9971, recall: 0.532, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4991, root_relative_squared_error: 1.0002, scimark_benchmark: 1503.3362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.7904, kappa: 0.579, kb_relative_information_score: 1390.3717, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7904, predictive_accuracy: 0.7904, prior_entropy: 0.9971, recall: 0.7904, relative_absolute_error: 0.4503, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.8786, scimark_benchmark: 1466.6185,

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

How to submit runs

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

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