OpenML
Supervised Classification on space_ga

Supervised Classification on space_ga

Task 4308 Supervised Classification space_ga 201 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, f_measure: 0.7659, kappa: 0.5321, kb_relative_information_score: 11866.5127, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.7673, predictive_accuracy: 0.7662, prior_entropy: 1, recall: 0.7662, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8199, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.7842, kappa: 0.5684, kb_relative_information_score: 9417.4874, mean_absolute_error: 0.3685, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.7842, predictive_accuracy: 0.7842, prior_entropy: 1, recall: 0.7842, relative_absolute_error: 0.7371, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8114, scimark_benchmark: 972.587, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.7838, kappa: 0.5676, kb_relative_information_score: 13252.706, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.7838, predictive_accuracy: 0.7838, prior_entropy: 1, recall: 0.7838, relative_absolute_error: 0.6053, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7788, scimark_benchmark: 934.3687, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3378, kb_relative_information_score: 247.1229, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.254, predictive_accuracy: 0.504, prior_entropy: 1, recall: 0.504, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7043, root_relative_squared_error: 1.4086, scimark_benchmark: 904.6764, usercpu_time_millis: 1810, usercpu_time_millis_testing: 720, usercpu_time_millis_training: 1090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3378, kb_relative_information_score: 247.1229, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.254, predictive_accuracy: 0.504, prior_entropy: 1, recall: 0.504, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7043, root_relative_squared_error: 1.4086, scimark_benchmark: 931.771, usercpu_time_millis: 2140, usercpu_time_millis_testing: 850, usercpu_time_millis_training: 1290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7601, kappa: 0.5202, kb_relative_information_score: 12241.6407, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.7601, predictive_accuracy: 0.7601, prior_entropy: 1, recall: 0.7601, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8087, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7601, kappa: 0.5202, kb_relative_information_score: 12241.6407, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.7601, predictive_accuracy: 0.7601, prior_entropy: 1, recall: 0.7601, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8087, scimark_benchmark: 938.191, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.828, kappa: 0.6559, kb_relative_information_score: 16520.0536, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.8281, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.498, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.7072, scimark_benchmark: 938.191, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8586, kappa: 0.7172, kb_relative_information_score: 17187.7772, mean_absolute_error: 0.2406, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.8594, predictive_accuracy: 0.8587, prior_entropy: 1, recall: 0.8587, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.6642, scimark_benchmark: 944.1067, usercpu_time_millis: 157690, usercpu_time_millis_testing: 1250, usercpu_time_millis_training: 156440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.8026, kappa: 0.6053, kb_relative_information_score: 15200.0997, mean_absolute_error: 0.2694, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.8029, predictive_accuracy: 0.8027, prior_entropy: 1, recall: 0.8027, relative_absolute_error: 0.5389, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.7763, scimark_benchmark: 927.2917, usercpu_time_millis: 710, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3378, kb_relative_information_score: 247.1229, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.254, predictive_accuracy: 0.504, prior_entropy: 1, recall: 0.504, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7043, root_relative_squared_error: 1.4086, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3378, kb_relative_information_score: 247.1229, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.254, predictive_accuracy: 0.504, prior_entropy: 1, recall: 0.504, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7043, root_relative_squared_error: 1.4086, scimark_benchmark: 932.438, usercpu_time_millis: 1930, usercpu_time_millis_testing: 840, usercpu_time_millis_training: 1090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.7263, kappa: 0.4527, kb_relative_information_score: 10777.9361, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.7266, predictive_accuracy: 0.7264, prior_entropy: 1, recall: 0.7264, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8545, scimark_benchmark: 974.2014, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7601, kappa: 0.5202, kb_relative_information_score: 12241.6407, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.7601, predictive_accuracy: 0.7601, prior_entropy: 1, recall: 0.7601, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8087, scimark_benchmark: 974.2014, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.8412, kappa: 0.6824, kb_relative_information_score: 17432.3811, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.8413, predictive_accuracy: 0.8412, prior_entropy: 1, recall: 0.8412, relative_absolute_error: 0.4666, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.6793, scimark_benchmark: 943.1009, usercpu_time_millis: 1370, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 1170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, f_measure: 0.7813, kappa: 0.5625, kb_relative_information_score: 13260.7033, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.7813, predictive_accuracy: 0.7813, prior_entropy: 1, recall: 0.7813, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.7891, scimark_benchmark: 932.438, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, f_measure: 0.7659, kappa: 0.5321, kb_relative_information_score: 11866.5127, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.7673, predictive_accuracy: 0.7662, prior_entropy: 1, recall: 0.7662, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8199, scimark_benchmark: 942.2392, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.7842, kappa: 0.5684, kb_relative_information_score: 9417.4874, mean_absolute_error: 0.3685, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.7842, predictive_accuracy: 0.7842, prior_entropy: 1, recall: 0.7842, relative_absolute_error: 0.7371, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8114, scimark_benchmark: 908.9569, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.7838, kappa: 0.5676, kb_relative_information_score: 13252.706, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.7838, predictive_accuracy: 0.7838, prior_entropy: 1, recall: 0.7838, relative_absolute_error: 0.6053, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7788, scimark_benchmark: 938.1282, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3378, kb_relative_information_score: 247.1229, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.254, predictive_accuracy: 0.504, prior_entropy: 1, recall: 0.504, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7043, root_relative_squared_error: 1.4086, scimark_benchmark: 937.5683, usercpu_time_millis: 1390, usercpu_time_millis_testing: 580, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3378, kb_relative_information_score: 247.1229, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.254, predictive_accuracy: 0.504, prior_entropy: 1, recall: 0.504, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7043, root_relative_squared_error: 1.4086, scimark_benchmark: 859.5223, usercpu_time_millis: 1530, usercpu_time_millis_testing: 680, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7601, kappa: 0.5202, kb_relative_information_score: 12241.6407, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.7601, predictive_accuracy: 0.7601, prior_entropy: 1, recall: 0.7601, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8087, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7601, kappa: 0.5202, kb_relative_information_score: 12241.6407, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.7601, predictive_accuracy: 0.7601, prior_entropy: 1, recall: 0.7601, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8087, scimark_benchmark: 941.4991, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.828, kappa: 0.6559, kb_relative_information_score: 16520.0536, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.8281, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.498, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.7072, scimark_benchmark: 930.404, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8586, kappa: 0.7172, kb_relative_information_score: 17187.7772, mean_absolute_error: 0.2406, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.8594, predictive_accuracy: 0.8587, prior_entropy: 1, recall: 0.8587, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.6642, scimark_benchmark: 931.7096, usercpu_time_millis: 173080, usercpu_time_millis_testing: 1160, usercpu_time_millis_training: 171920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7601, kappa: 0.5202, kb_relative_information_score: 12241.6407, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.7601, predictive_accuracy: 0.7601, prior_entropy: 1, recall: 0.7601, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8087, scimark_benchmark: 936.9595, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.8026, kappa: 0.6053, kb_relative_information_score: 15200.0997, mean_absolute_error: 0.2694, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.8029, predictive_accuracy: 0.8027, prior_entropy: 1, recall: 0.8027, relative_absolute_error: 0.5389, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.7763, scimark_benchmark: 945.6228, usercpu_time_millis: 730, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.8412, kappa: 0.6824, kb_relative_information_score: 17432.3811, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.8413, predictive_accuracy: 0.8412, prior_entropy: 1, recall: 0.8412, relative_absolute_error: 0.4666, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.6793, scimark_benchmark: 936.3213, usercpu_time_millis: 1550, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 1330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.8756, kappa: 0.7513, kb_relative_information_score: 18146.0193, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.8761, predictive_accuracy: 0.8757, prior_entropy: 1, recall: 0.8757, relative_absolute_error: 0.4555, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3121, root_relative_squared_error: 0.6243, scimark_benchmark: 1051.249, usercpu_time_millis: 17360, usercpu_time_millis_testing: 5640, usercpu_time_millis_training: 11720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.8757, kappa: 0.7515, kb_relative_information_score: 18175.8224, mean_absolute_error: 0.2272, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.8762, predictive_accuracy: 0.8758, prior_entropy: 1, recall: 0.8758, relative_absolute_error: 0.4544, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.6243, scimark_benchmark: 904.5548, usercpu_time_millis: 5670, usercpu_time_millis_testing: 880, usercpu_time_millis_training: 4790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.8751, kappa: 0.7502, kb_relative_information_score: 18143.0769, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.8755, predictive_accuracy: 0.8751, prior_entropy: 1, recall: 0.8751, relative_absolute_error: 0.4551, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.6263, scimark_benchmark: 897.0978, usercpu_time_millis: 2800, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 2340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.873, kappa: 0.746, kb_relative_information_score: 18094.1375, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.8734, predictive_accuracy: 0.873, prior_entropy: 1, recall: 0.873, relative_absolute_error: 0.4563, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.6297, scimark_benchmark: 938.8535, usercpu_time_millis: 1370, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 1170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.8679, kappa: 0.7358, kb_relative_information_score: 18010.3087, mean_absolute_error: 0.2288, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.8683, predictive_accuracy: 0.8679, prior_entropy: 1, recall: 0.8679, relative_absolute_error: 0.4575, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.6372, scimark_benchmark: 897.0978, usercpu_time_millis: 640, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, f_measure: 0.7813, kappa: 0.5625, kb_relative_information_score: 13260.7033, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.7813, predictive_accuracy: 0.7813, prior_entropy: 1, recall: 0.7813, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.7891, scimark_benchmark: 941.9549, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, f_measure: 0.7813, kappa: 0.5625, kb_relative_information_score: 13260.7033, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.7813, predictive_accuracy: 0.7813, prior_entropy: 1, recall: 0.7813, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.7891, scimark_benchmark: 938.3115, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, f_measure: 0.7813, kappa: 0.5625, kb_relative_information_score: 13260.7033, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.7813, predictive_accuracy: 0.7813, prior_entropy: 1, recall: 0.7813, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.7891, scimark_benchmark: 929.0296, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.7802, kappa: 0.5604, kb_relative_information_score: 13229.7263, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.7803, predictive_accuracy: 0.7802, prior_entropy: 1, recall: 0.7802, relative_absolute_error: 0.6022, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.7895, scimark_benchmark: 929.0296, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.7374, kappa: 0.4761, kb_relative_information_score: 9224.3458, mean_absolute_error: 0.3678, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.7407, predictive_accuracy: 0.7383, prior_entropy: 1, recall: 0.7383, relative_absolute_error: 0.7357, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.8597, scimark_benchmark: 941.9549, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7601, kappa: 0.5202, kb_relative_information_score: 12241.6407, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.7601, predictive_accuracy: 0.7601, prior_entropy: 1, recall: 0.7601, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8087, scimark_benchmark: 1322.5413, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7601, kappa: 0.5202, kb_relative_information_score: 12241.6407, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.7601, predictive_accuracy: 0.7601, prior_entropy: 1, recall: 0.7601, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8087, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.828, kappa: 0.6559, kb_relative_information_score: 16520.0536, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.8281, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.498, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.7072, scimark_benchmark: 1349.1517, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.7263, kappa: 0.4527, kb_relative_information_score: 10777.9361, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.7266, predictive_accuracy: 0.7264, prior_entropy: 1, recall: 0.7264, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8545, scimark_benchmark: 930.5999, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7601, kappa: 0.5202, kb_relative_information_score: 12241.6407, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.7601, predictive_accuracy: 0.7601, prior_entropy: 1, recall: 0.7601, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8087, scimark_benchmark: 1338.5214, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7601, kappa: 0.5202, kb_relative_information_score: 12241.6407, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.7601, predictive_accuracy: 0.7601, prior_entropy: 1, recall: 0.7601, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8087, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.7263, kappa: 0.4527, kb_relative_information_score: 10777.9361, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.7266, predictive_accuracy: 0.7264, prior_entropy: 1, recall: 0.7264, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8545, scimark_benchmark: 1338.5214, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7601, kappa: 0.5202, kb_relative_information_score: 12241.6407, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.7601, predictive_accuracy: 0.7601, prior_entropy: 1, recall: 0.7601, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8087, scimark_benchmark: 1349.1517, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7601, kappa: 0.5202, kb_relative_information_score: 12241.6407, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.7601, predictive_accuracy: 0.7601, prior_entropy: 1, recall: 0.7601, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8087, scimark_benchmark: 1317.5857, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7601, kappa: 0.5202, kb_relative_information_score: 12241.6407, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.7601, predictive_accuracy: 0.7601, prior_entropy: 1, recall: 0.7601, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8087, scimark_benchmark: 1340.9749, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, f_measure: 0.7659, kappa: 0.5321, kb_relative_information_score: 11866.5127, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.7673, predictive_accuracy: 0.7662, prior_entropy: 1, recall: 0.7662, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8199, scimark_benchmark: 1310.3168, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.7263, kappa: 0.4527, kb_relative_information_score: 10777.9361, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.7266, predictive_accuracy: 0.7264, prior_entropy: 1, recall: 0.7264, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8545, scimark_benchmark: 1351.1238, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7601, kappa: 0.5202, kb_relative_information_score: 12241.6407, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.7601, predictive_accuracy: 0.7601, prior_entropy: 1, recall: 0.7601, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8087, scimark_benchmark: 1319.4538, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8586, kappa: 0.7172, kb_relative_information_score: 17187.7772, mean_absolute_error: 0.2406, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.8594, predictive_accuracy: 0.8587, prior_entropy: 1, recall: 0.8587, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.6642, scimark_benchmark: 1346.0226, usercpu_time_millis: 79980, usercpu_time_millis_testing: 1110, usercpu_time_millis_training: 78870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7601, kappa: 0.5202, kb_relative_information_score: 12241.6407, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.7601, predictive_accuracy: 0.7601, prior_entropy: 1, recall: 0.7601, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8087, scimark_benchmark: 1310.3168, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7601, kappa: 0.5202, kb_relative_information_score: 12241.6407, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.7601, predictive_accuracy: 0.7601, prior_entropy: 1, recall: 0.7601, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8087, scimark_benchmark: 1332.7986, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7601, kappa: 0.5202, kb_relative_information_score: 12241.6407, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.7601, predictive_accuracy: 0.7601, prior_entropy: 1, recall: 0.7601, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8087, scimark_benchmark: 1337.1928, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7601, kappa: 0.5202, kb_relative_information_score: 12241.6407, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.7601, predictive_accuracy: 0.7601, prior_entropy: 1, recall: 0.7601, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8087, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.8026, kappa: 0.6053, kb_relative_information_score: 15200.0997, mean_absolute_error: 0.2694, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.8029, predictive_accuracy: 0.8027, prior_entropy: 1, recall: 0.8027, relative_absolute_error: 0.5389, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.7763, scimark_benchmark: 1320.8283, usercpu_time_millis: 730, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.8412, kappa: 0.6824, kb_relative_information_score: 17432.3811, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.8413, predictive_accuracy: 0.8412, prior_entropy: 1, recall: 0.8412, relative_absolute_error: 0.4666, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.6793, scimark_benchmark: 1354.5533, usercpu_time_millis: 1250, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 1070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.7842, kappa: 0.5684, kb_relative_information_score: 9417.4874, mean_absolute_error: 0.3685, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.7842, predictive_accuracy: 0.7842, prior_entropy: 1, recall: 0.7842, relative_absolute_error: 0.7371, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8114, scimark_benchmark: 1319.5773, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.8457, kappa: 0.6916, kb_relative_information_score: 20812.4392, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.847, predictive_accuracy: 0.8459, prior_entropy: 1, recall: 0.8459, relative_absolute_error: 0.3341, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7551, scimark_benchmark: 1256.2802, usercpu_time_millis: 290, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.7838, kappa: 0.5676, kb_relative_information_score: 13252.706, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.7838, predictive_accuracy: 0.7838, prior_entropy: 1, recall: 0.7838, relative_absolute_error: 0.6053, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7788, scimark_benchmark: 1339.6197, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.856, kappa: 0.712, kb_relative_information_score: 18607.5135, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.8569, predictive_accuracy: 0.8561, prior_entropy: 1, recall: 0.8561, relative_absolute_error: 0.4278, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.6637, scimark_benchmark: 1337.1928, usercpu_time_millis: 6880, usercpu_time_millis_training: 6880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.7263, kappa: 0.4527, kb_relative_information_score: 10777.9361, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.7266, predictive_accuracy: 0.7264, prior_entropy: 1, recall: 0.7264, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8545, scimark_benchmark: 1328.1785, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7601, kappa: 0.5202, kb_relative_information_score: 12241.6407, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.5, number_of_instances: 31070, precision: 0.7601, predictive_accuracy: 0.7601, prior_entropy: 1, recall: 0.7601, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8087, scimark_benchmark: 1336.4701, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,

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