Task
Supervised Classification on pbcseq

Supervised Classification on pbcseq

Task 4372 Supervised Classification pbcseq 213 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.6625, kappa: 0.3331, kb_relative_information_score: 3301.7693, mean_absolute_error: 0.4274, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.6749, predictive_accuracy: 0.6666, prior_entropy: 1, recall: 0.6666, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4666, root_relative_squared_error: 0.9332, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, f_measure: 0.7095, kappa: 0.4191, kb_relative_information_score: 3742.1407, mean_absolute_error: 0.4181, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.7099, predictive_accuracy: 0.7096, prior_entropy: 1, recall: 0.7096, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.8897, scimark_benchmark: 972.587, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7666, f_measure: 0.6971, kappa: 0.3944, kb_relative_information_score: 5148.956, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.6972, predictive_accuracy: 0.6972, prior_entropy: 1, recall: 0.6972, relative_absolute_error: 0.7602, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.8883, scimark_benchmark: 934.3687, usercpu_time_millis: 17230, usercpu_time_millis_training: 17230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6274, f_measure: 0.5761, kappa: 0.2548, kb_relative_information_score: 4949.9945, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.7466, predictive_accuracy: 0.6272, prior_entropy: 1, recall: 0.6272, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6105, root_relative_squared_error: 1.2211, scimark_benchmark: 944.1067, usercpu_time_millis: 1390, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6274, f_measure: 0.5761, kappa: 0.2548, kb_relative_information_score: 4949.9945, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.7466, predictive_accuracy: 0.6272, prior_entropy: 1, recall: 0.6272, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6105, root_relative_squared_error: 1.2211, scimark_benchmark: 916.0735, usercpu_time_millis: 1520, usercpu_time_millis_testing: 580, usercpu_time_millis_training: 940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.6896, kappa: 0.3808, kb_relative_information_score: 6071.1863, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.6925, predictive_accuracy: 0.6904, prior_entropy: 1, recall: 0.6904, relative_absolute_error: 0.702, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9889, scimark_benchmark: 941.6675, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.6896, kappa: 0.3808, kb_relative_information_score: 6071.1863, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.6925, predictive_accuracy: 0.6904, prior_entropy: 1, recall: 0.6904, relative_absolute_error: 0.702, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9889, scimark_benchmark: 938.191, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5818, f_measure: 0.5352, kappa: 0.08, kb_relative_information_score: 1394.8457, mean_absolute_error: 0.4671, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.5417, predictive_accuracy: 0.5401, prior_entropy: 1, recall: 0.5401, relative_absolute_error: 0.9342, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5204, root_relative_squared_error: 1.0408, scimark_benchmark: 938.191, usercpu_time_millis: 650, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6344, f_measure: 0.5894, kappa: 0.1939, kb_relative_information_score: 3119.1535, mean_absolute_error: 0.4238, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.6047, predictive_accuracy: 0.597, prior_entropy: 1, recall: 0.597, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5454, root_relative_squared_error: 1.0907, scimark_benchmark: 936.8075, usercpu_time_millis: 937090, usercpu_time_millis_testing: 27550, usercpu_time_millis_training: 909540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.7578, kappa: 0.5158, kb_relative_information_score: 8911.9985, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.7584, predictive_accuracy: 0.7579, prior_entropy: 1, recall: 0.7579, relative_absolute_error: 0.5554, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8603, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6274, f_measure: 0.5761, kappa: 0.2548, kb_relative_information_score: 4949.9945, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.7466, predictive_accuracy: 0.6272, prior_entropy: 1, recall: 0.6272, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6105, root_relative_squared_error: 1.2211, scimark_benchmark: 941.3847, usercpu_time_millis: 1350, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6274, f_measure: 0.5761, kappa: 0.2548, kb_relative_information_score: 4949.9945, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.7466, predictive_accuracy: 0.6272, prior_entropy: 1, recall: 0.6272, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6105, root_relative_squared_error: 1.2211, scimark_benchmark: 941.3847, usercpu_time_millis: 1500, usercpu_time_millis_testing: 660, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7499, f_measure: 0.6817, kappa: 0.3645, kb_relative_information_score: 3741.0716, mean_absolute_error: 0.4163, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.6835, predictive_accuracy: 0.6823, prior_entropy: 1, recall: 0.6823, relative_absolute_error: 0.8326, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.905, scimark_benchmark: 943.1009, usercpu_time_millis: 930, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.6625, kappa: 0.3331, kb_relative_information_score: 3301.7693, mean_absolute_error: 0.4274, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.6749, predictive_accuracy: 0.6666, prior_entropy: 1, recall: 0.6666, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4666, root_relative_squared_error: 0.9332, scimark_benchmark: 942.2392, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, f_measure: 0.7095, kappa: 0.4191, kb_relative_information_score: 3742.1407, mean_absolute_error: 0.4181, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.7099, predictive_accuracy: 0.7096, prior_entropy: 1, recall: 0.7096, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.8897, scimark_benchmark: 908.9569, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7666, f_measure: 0.6971, kappa: 0.3944, kb_relative_information_score: 5148.956, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.6972, predictive_accuracy: 0.6972, prior_entropy: 1, recall: 0.6972, relative_absolute_error: 0.7602, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.8883, scimark_benchmark: 936.2574, usercpu_time_millis: 16330, usercpu_time_millis_training: 16330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6274, f_measure: 0.5761, kappa: 0.2548, kb_relative_information_score: 4949.9945, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.7466, predictive_accuracy: 0.6272, prior_entropy: 1, recall: 0.6272, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6105, root_relative_squared_error: 1.2211, scimark_benchmark: 927.2882, usercpu_time_millis: 2670, usercpu_time_millis_testing: 1360, usercpu_time_millis_training: 1310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6274, f_measure: 0.5761, kappa: 0.2548, kb_relative_information_score: 4949.9945, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.7466, predictive_accuracy: 0.6272, prior_entropy: 1, recall: 0.6272, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6105, root_relative_squared_error: 1.2211, scimark_benchmark: 934.5964, usercpu_time_millis: 3750, usercpu_time_millis_testing: 1870, usercpu_time_millis_training: 1880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.6896, kappa: 0.3808, kb_relative_information_score: 6071.1863, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.6925, predictive_accuracy: 0.6904, prior_entropy: 1, recall: 0.6904, relative_absolute_error: 0.702, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9889, scimark_benchmark: 933.3455, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5818, f_measure: 0.5352, kappa: 0.08, kb_relative_information_score: 1394.8457, mean_absolute_error: 0.4671, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.5417, predictive_accuracy: 0.5401, prior_entropy: 1, recall: 0.5401, relative_absolute_error: 0.9342, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5204, root_relative_squared_error: 1.0408, scimark_benchmark: 930.404, usercpu_time_millis: 740, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6344, f_measure: 0.5894, kappa: 0.1939, kb_relative_information_score: 3119.1535, mean_absolute_error: 0.4238, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.6047, predictive_accuracy: 0.597, prior_entropy: 1, recall: 0.597, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5454, root_relative_squared_error: 1.0907, scimark_benchmark: 941.4991, usercpu_time_millis: 849670, usercpu_time_millis_testing: 27020, usercpu_time_millis_training: 822650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.6896, kappa: 0.3808, kb_relative_information_score: 6071.1863, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.6925, predictive_accuracy: 0.6904, prior_entropy: 1, recall: 0.6904, relative_absolute_error: 0.702, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9889, scimark_benchmark: 945.6228, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.7578, kappa: 0.5158, kb_relative_information_score: 8911.9985, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.7584, predictive_accuracy: 0.7579, prior_entropy: 1, recall: 0.7579, relative_absolute_error: 0.5554, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8603, scimark_benchmark: 932.438, usercpu_time_millis: 8950, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 8940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8579, f_measure: 0.775, kappa: 0.55, kb_relative_information_score: 6505.7499, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.775, predictive_accuracy: 0.775, prior_entropy: 1, recall: 0.775, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.399, root_relative_squared_error: 0.798, scimark_benchmark: 934.695, usercpu_time_millis: 2457880, usercpu_time_millis_testing: 706790, usercpu_time_millis_training: 1751090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7499, f_measure: 0.6817, kappa: 0.3645, kb_relative_information_score: 3741.0716, mean_absolute_error: 0.4163, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.6835, predictive_accuracy: 0.6823, prior_entropy: 1, recall: 0.6823, relative_absolute_error: 0.8326, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.905, scimark_benchmark: 901.4991, usercpu_time_millis: 920, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.7749, kappa: 0.5497, kb_relative_information_score: 6503.5537, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.7749, predictive_accuracy: 0.7749, prior_entropy: 1, recall: 0.7749, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.7994, scimark_benchmark: 937.5683, usercpu_time_millis: 1073030, usercpu_time_millis_testing: 305350, usercpu_time_millis_training: 767680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.7627, kappa: 0.5253, kb_relative_information_score: 6420.339, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.7627, predictive_accuracy: 0.7627, prior_entropy: 1, recall: 0.7627, relative_absolute_error: 0.7053, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8124, scimark_benchmark: 903.179, usercpu_time_millis: 187850, usercpu_time_millis_testing: 58070, usercpu_time_millis_training: 129780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7504, kappa: 0.5009, kb_relative_information_score: 6322.3653, mean_absolute_error: 0.3533, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.7504, predictive_accuracy: 0.7504, prior_entropy: 1, recall: 0.7504, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8287, scimark_benchmark: 939.0589, usercpu_time_millis: 120530, usercpu_time_millis_testing: 36230, usercpu_time_millis_training: 84300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, f_measure: 0.7226, kappa: 0.4451, kb_relative_information_score: 6348.5129, mean_absolute_error: 0.3491, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.7226, predictive_accuracy: 0.7226, prior_entropy: 1, recall: 0.7226, relative_absolute_error: 0.6982, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8644, scimark_benchmark: 889.4922, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, f_measure: 0.7226, kappa: 0.4451, kb_relative_information_score: 6348.5129, mean_absolute_error: 0.3491, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.7226, predictive_accuracy: 0.7226, prior_entropy: 1, recall: 0.7226, relative_absolute_error: 0.6982, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8644, scimark_benchmark: 938.3115, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, f_measure: 0.7226, kappa: 0.4451, kb_relative_information_score: 6348.5129, mean_absolute_error: 0.3491, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.7226, predictive_accuracy: 0.7226, prior_entropy: 1, recall: 0.7226, relative_absolute_error: 0.6982, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8644, scimark_benchmark: 929.0296, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.7227, kappa: 0.4455, kb_relative_information_score: 6347.0906, mean_absolute_error: 0.3491, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.7227, predictive_accuracy: 0.7227, prior_entropy: 1, recall: 0.7227, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8644, scimark_benchmark: 936.1714, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7777, f_measure: 0.7118, kappa: 0.4235, kb_relative_information_score: 5810.5514, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.7118, predictive_accuracy: 0.7118, prior_entropy: 1, recall: 0.7118, relative_absolute_error: 0.7261, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.881, scimark_benchmark: 929.0296, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.651, f_measure: 0.638, kappa: 0.2765, kb_relative_information_score: 2290.5855, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.6386, predictive_accuracy: 0.6383, prior_entropy: 1, recall: 0.6383, relative_absolute_error: 0.904, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4807, root_relative_squared_error: 0.9614, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7796, f_measure: 0.713, kappa: 0.4259, kb_relative_information_score: 7846.7014, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.713, predictive_accuracy: 0.713, prior_entropy: 1, recall: 0.713, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4841, root_relative_squared_error: 0.9682, scimark_benchmark: 936.1714, usercpu_time_millis: 1080, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7699, f_measure: 0.7099, kappa: 0.4198, kb_relative_information_score: 7679.9593, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.7099, predictive_accuracy: 0.7099, prior_entropy: 1, recall: 0.7099, relative_absolute_error: 0.6115, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.489, root_relative_squared_error: 0.9779, scimark_benchmark: 936.1714, usercpu_time_millis: 540, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.761, f_measure: 0.7007, kappa: 0.4013, kb_relative_information_score: 7305.3838, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.7007, predictive_accuracy: 0.7007, prior_entropy: 1, recall: 0.7007, relative_absolute_error: 0.631, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4932, root_relative_squared_error: 0.9863, scimark_benchmark: 938.3115, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.6896, kappa: 0.3808, kb_relative_information_score: 6071.1863, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.6925, predictive_accuracy: 0.6904, prior_entropy: 1, recall: 0.6904, relative_absolute_error: 0.702, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9889, scimark_benchmark: 1324.7884, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.6896, kappa: 0.3808, kb_relative_information_score: 6071.1863, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.6925, predictive_accuracy: 0.6904, prior_entropy: 1, recall: 0.6904, relative_absolute_error: 0.702, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9889, scimark_benchmark: 1346.2927, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.6896, kappa: 0.3808, kb_relative_information_score: 6071.1863, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.6925, predictive_accuracy: 0.6904, prior_entropy: 1, recall: 0.6904, relative_absolute_error: 0.702, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9889, scimark_benchmark: 1338.5214, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.6896, kappa: 0.3808, kb_relative_information_score: 6071.1863, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.6925, predictive_accuracy: 0.6904, prior_entropy: 1, recall: 0.6904, relative_absolute_error: 0.702, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9889, scimark_benchmark: 1393.8432, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7862, f_measure: 0.7115, kappa: 0.4244, kb_relative_information_score: 7755.3154, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.7144, predictive_accuracy: 0.7122, prior_entropy: 1, recall: 0.7122, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9381, scimark_benchmark: 1338.5214, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.6896, kappa: 0.3808, kb_relative_information_score: 6071.1863, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.6925, predictive_accuracy: 0.6904, prior_entropy: 1, recall: 0.6904, relative_absolute_error: 0.702, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9889, scimark_benchmark: 1324.7884, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.6896, kappa: 0.3808, kb_relative_information_score: 6071.1863, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.6925, predictive_accuracy: 0.6904, prior_entropy: 1, recall: 0.6904, relative_absolute_error: 0.702, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9889, scimark_benchmark: 1333.202, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7862, f_measure: 0.7115, kappa: 0.4244, kb_relative_information_score: 7755.3154, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.7144, predictive_accuracy: 0.7122, prior_entropy: 1, recall: 0.7122, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9381, scimark_benchmark: 1310.6554, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.6896, kappa: 0.3808, kb_relative_information_score: 6071.1863, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.6925, predictive_accuracy: 0.6904, prior_entropy: 1, recall: 0.6904, relative_absolute_error: 0.702, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9889, scimark_benchmark: 1366.7181, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.6896, kappa: 0.3808, kb_relative_information_score: 6071.1863, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.6925, predictive_accuracy: 0.6904, prior_entropy: 1, recall: 0.6904, relative_absolute_error: 0.702, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9889, scimark_benchmark: 1374.9737, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.6896, kappa: 0.3808, kb_relative_information_score: 6071.1863, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.6925, predictive_accuracy: 0.6904, prior_entropy: 1, recall: 0.6904, relative_absolute_error: 0.702, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9889, scimark_benchmark: 1324.6442, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6344, f_measure: 0.5895, kappa: 0.194, kb_relative_information_score: 3119.163, mean_absolute_error: 0.4238, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.6047, predictive_accuracy: 0.5971, prior_entropy: 1, recall: 0.5971, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5454, root_relative_squared_error: 1.0907, scimark_benchmark: 1374.9737, usercpu_time_millis: 479180, usercpu_time_millis_testing: 18750, usercpu_time_millis_training: 460430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7862, f_measure: 0.7115, kappa: 0.4244, kb_relative_information_score: 7755.3154, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.7144, predictive_accuracy: 0.7122, prior_entropy: 1, recall: 0.7122, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9381, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.6896, kappa: 0.3808, kb_relative_information_score: 6071.1863, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.6925, predictive_accuracy: 0.6904, prior_entropy: 1, recall: 0.6904, relative_absolute_error: 0.702, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9889, scimark_benchmark: 1347.1763, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.6896, kappa: 0.3808, kb_relative_information_score: 6071.1863, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.6925, predictive_accuracy: 0.6904, prior_entropy: 1, recall: 0.6904, relative_absolute_error: 0.702, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9889, scimark_benchmark: 1337.9552, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.6896, kappa: 0.3808, kb_relative_information_score: 6071.1863, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.6925, predictive_accuracy: 0.6904, prior_entropy: 1, recall: 0.6904, relative_absolute_error: 0.702, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9889, scimark_benchmark: 1354.5533, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7862, f_measure: 0.7115, kappa: 0.4244, kb_relative_information_score: 7755.3154, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.7144, predictive_accuracy: 0.7122, prior_entropy: 1, recall: 0.7122, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9381, scimark_benchmark: 1325.8468, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.6896, kappa: 0.3808, kb_relative_information_score: 6071.1863, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.6925, predictive_accuracy: 0.6904, prior_entropy: 1, recall: 0.6904, relative_absolute_error: 0.702, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9889, scimark_benchmark: 1309.2287, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.6896, kappa: 0.3808, kb_relative_information_score: 6071.1863, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.6925, predictive_accuracy: 0.6904, prior_entropy: 1, recall: 0.6904, relative_absolute_error: 0.702, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9889, scimark_benchmark: 1337.3324, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.7578, kappa: 0.5158, kb_relative_information_score: 8911.9985, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.7584, predictive_accuracy: 0.7579, prior_entropy: 1, recall: 0.7579, relative_absolute_error: 0.5554, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8603, scimark_benchmark: 1345.5961, usercpu_time_millis: 8800, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 8780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7499, f_measure: 0.6817, kappa: 0.3645, kb_relative_information_score: 3741.0716, mean_absolute_error: 0.4163, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.6835, predictive_accuracy: 0.6823, prior_entropy: 1, recall: 0.6823, relative_absolute_error: 0.8326, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.905, scimark_benchmark: 1310.6554, usercpu_time_millis: 850, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.6625, kappa: 0.3331, kb_relative_information_score: 3301.7693, mean_absolute_error: 0.4274, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.6749, predictive_accuracy: 0.6666, prior_entropy: 1, recall: 0.6666, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4666, root_relative_squared_error: 0.9332, scimark_benchmark: 1313.8988, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, f_measure: 0.7095, kappa: 0.4191, kb_relative_information_score: 3742.1407, mean_absolute_error: 0.4181, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.7099, predictive_accuracy: 0.7096, prior_entropy: 1, recall: 0.7096, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.8897, scimark_benchmark: 1319.5773, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7666, f_measure: 0.6971, kappa: 0.3944, kb_relative_information_score: 5148.956, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.6972, predictive_accuracy: 0.6972, prior_entropy: 1, recall: 0.6972, relative_absolute_error: 0.7602, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.8883, scimark_benchmark: 1325.3966, usercpu_time_millis: 12540, usercpu_time_millis_training: 12540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7629, f_measure: 0.698, kappa: 0.3962, kb_relative_information_score: 4997.8387, mean_absolute_error: 0.3843, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.6984, predictive_accuracy: 0.6981, prior_entropy: 1, recall: 0.6981, relative_absolute_error: 0.7685, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.446, root_relative_squared_error: 0.892, scimark_benchmark: 1342.2845, usercpu_time_millis: 15170, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 15090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7862, f_measure: 0.7115, kappa: 0.4244, kb_relative_information_score: 7755.3154, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.7144, predictive_accuracy: 0.7122, prior_entropy: 1, recall: 0.7122, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9381, scimark_benchmark: 1313.5633, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.6896, kappa: 0.3808, kb_relative_information_score: 6071.1863, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.5, number_of_instances: 19450, precision: 0.6925, predictive_accuracy: 0.6904, prior_entropy: 1, recall: 0.6904, relative_absolute_error: 0.702, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9889, scimark_benchmark: 1314.1215, 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

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From your own software

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

OpenML APIs