OpenML
Supervised Classification on fri_c0_500_10

Supervised Classification on fri_c0_500_10

Task 3806 Supervised Classification fri_c0_500_10 591 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 232.5178, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7163, scimark_benchmark: 1367.3264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 232.5178, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7163, scimark_benchmark: 1366.2491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.8536, kappa: 0.7068, kb_relative_information_score: 287.4092, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8557, predictive_accuracy: 0.854, prior_entropy: 0.9991, recall: 0.854, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.6452, scimark_benchmark: 1335.2363, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8658, kappa: 0.7312, kb_relative_information_score: 279.0845, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8665, predictive_accuracy: 0.866, prior_entropy: 0.9991, recall: 0.866, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.6325, scimark_benchmark: 1313.8988, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8359, kappa: 0.6714, kb_relative_information_score: 279.2013, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.836, predictive_accuracy: 0.836, prior_entropy: 0.9991, recall: 0.836, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.6818, scimark_benchmark: 1260.1387, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.805, kappa: 0.61, kb_relative_information_score: 256.0432, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8089, predictive_accuracy: 0.806, prior_entropy: 0.9991, recall: 0.806, relative_absolute_error: 0.5124, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.7672, scimark_benchmark: 1315.7081, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.8598, kappa: 0.7192, kb_relative_information_score: 359.7363, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8604, predictive_accuracy: 0.86, prior_entropy: 0.9991, recall: 0.86, relative_absolute_error: 0.2804, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7488, scimark_benchmark: 1330.4665, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.8361, kappa: 0.672, kb_relative_information_score: 220.4399, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8365, predictive_accuracy: 0.836, prior_entropy: 0.9991, recall: 0.836, relative_absolute_error: 0.5994, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7261, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.86, kappa: 0.7196, kb_relative_information_score: 292.307, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9991, recall: 0.86, relative_absolute_error: 0.4423, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.6433, scimark_benchmark: 1347.993, usercpu_time_millis: 3070, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 232.5178, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7163, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8658, kappa: 0.7312, kb_relative_information_score: 279.0845, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8665, predictive_accuracy: 0.866, prior_entropy: 0.9991, recall: 0.866, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.6325, scimark_benchmark: 1281.7531, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.8375, kappa: 0.6746, kb_relative_information_score: 266.799, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8399, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.7236, scimark_benchmark: 1320.9387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.86, kappa: 0.7196, kb_relative_information_score: 292.307, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9991, recall: 0.86, relative_absolute_error: 0.4423, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.6433, scimark_benchmark: 1341.5795, usercpu_time_millis: 4190, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 4160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.8361, kappa: 0.672, kb_relative_information_score: 220.4399, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8365, predictive_accuracy: 0.836, prior_entropy: 0.9991, recall: 0.836, relative_absolute_error: 0.5994, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7261, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 232.5178, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7163, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.8536, kappa: 0.7068, kb_relative_information_score: 287.4092, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8557, predictive_accuracy: 0.854, prior_entropy: 0.9991, recall: 0.854, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.6452, scimark_benchmark: 918.0213, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 232.5178, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7163, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 232.5178, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7163, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.8577, kappa: 0.715, kb_relative_information_score: 155.6431, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.859, predictive_accuracy: 0.858, prior_entropy: 0.9991, recall: 0.858, relative_absolute_error: 0.7423, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.777, scimark_benchmark: 1331.8954, usercpu_time_millis: 300, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 232.5178, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7163, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 232.5178, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7163, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.8375, kappa: 0.6746, kb_relative_information_score: 266.799, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8399, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.7236, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8359, kappa: 0.6714, kb_relative_information_score: 279.2013, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.836, predictive_accuracy: 0.836, prior_entropy: 0.9991, recall: 0.836, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.6818, scimark_benchmark: 1315.933, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 232.5178, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7163, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 232.5178, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7163, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 232.5178, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7163, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 232.5178, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7163, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 232.5178, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7163, scimark_benchmark: 1380.2233, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8658, kappa: 0.7312, kb_relative_information_score: 279.0845, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8665, predictive_accuracy: 0.866, prior_entropy: 0.9991, recall: 0.866, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.6325, scimark_benchmark: 1311.9814, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 232.5178, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7163, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 232.5178, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7163, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 242.4717, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.343, root_relative_squared_error: 0.6865, scimark_benchmark: 915.9324, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 242.4717, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.343, root_relative_squared_error: 0.6865, scimark_benchmark: 1328.941, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 242.4717, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.343, root_relative_squared_error: 0.6865, scimark_benchmark: 1309.4998, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8359, kappa: 0.6714, kb_relative_information_score: 279.2013, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.836, predictive_accuracy: 0.836, prior_entropy: 0.9991, recall: 0.836, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.6818, scimark_benchmark: 1311.9814, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 242.4717, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.343, root_relative_squared_error: 0.6865, scimark_benchmark: 1309.4998, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.8375, kappa: 0.6746, kb_relative_information_score: 266.799, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8399, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.7236, scimark_benchmark: 1249.4068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.8375, kappa: 0.6746, kb_relative_information_score: 266.799, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8399, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.7236, scimark_benchmark: 950.6776,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5595, f_measure: 0.3986, kappa: 0.0456, kb_relative_information_score: 1.5929, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.5936, predictive_accuracy: 0.508, prior_entropy: 0.9991, recall: 0.508, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9973, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 242.4717, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.343, root_relative_squared_error: 0.6865, scimark_benchmark: 912.7324, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.7953, kappa: 0.5902, kb_relative_information_score: 259.8417, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.7977, predictive_accuracy: 0.796, prior_entropy: 0.9991, recall: 0.796, relative_absolute_error: 0.5017, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.8281, scimark_benchmark: 938.0414, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.653, f_measure: 0.6639, kappa: 0.3464, kb_relative_information_score: 90.1561, mean_absolute_error: 0.4221, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.6914, predictive_accuracy: 0.67, prior_entropy: 0.9991, recall: 0.67, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.466, root_relative_squared_error: 0.9325, scimark_benchmark: 906.4475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.856, kappa: 0.7115, kb_relative_information_score: 244.4157, mean_absolute_error: 0.2765, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 0.9991, recall: 0.856, relative_absolute_error: 0.5536, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.6752, scimark_benchmark: 938.343, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.8496, kappa: 0.6988, kb_relative_information_score: 154.666, mean_absolute_error: 0.3714, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8516, predictive_accuracy: 0.85, prior_entropy: 0.9991, recall: 0.85, relative_absolute_error: 0.7437, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7781, scimark_benchmark: 934.1747, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.8098, kappa: 0.619, kb_relative_information_score: 154.6238, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8102, predictive_accuracy: 0.81, prior_entropy: 0.9991, recall: 0.81, relative_absolute_error: 0.7403, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.7837, scimark_benchmark: 1299.5783, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.7958, kappa: 0.5909, kb_relative_information_score: 149.9858, mean_absolute_error: 0.3732, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.7962, predictive_accuracy: 0.796, prior_entropy: 0.9991, recall: 0.796, relative_absolute_error: 0.7473, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.7971, scimark_benchmark: 1320.2556, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.872, kappa: 0.7438, kb_relative_information_score: 357.5975, mean_absolute_error: 0.1465, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8722, predictive_accuracy: 0.872, prior_entropy: 0.9991, recall: 0.872, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.6089, scimark_benchmark: 942.6843, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.874, kappa: 0.7476, kb_relative_information_score: 348.0795, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.874, predictive_accuracy: 0.874, prior_entropy: 0.9991, recall: 0.874, relative_absolute_error: 0.3169, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2971, root_relative_squared_error: 0.5946, scimark_benchmark: 1290.1085, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.87, kappa: 0.7399, kb_relative_information_score: 331.8987, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8702, predictive_accuracy: 0.87, prior_entropy: 0.9991, recall: 0.87, relative_absolute_error: 0.3533, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.6032, scimark_benchmark: 1384.4418, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.88, kappa: 0.7596, kb_relative_information_score: 320.3448, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.88, predictive_accuracy: 0.88, prior_entropy: 0.9991, recall: 0.88, relative_absolute_error: 0.3836, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3, root_relative_squared_error: 0.6004, scimark_benchmark: 925.4974, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.8637, kappa: 0.727, kb_relative_information_score: 277.7465, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8652, predictive_accuracy: 0.864, prior_entropy: 0.9991, recall: 0.864, relative_absolute_error: 0.4804, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.6519, scimark_benchmark: 929.0363, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.7797, kappa: 0.5587, kb_relative_information_score: 240.189, mean_absolute_error: 0.2698, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.7803, predictive_accuracy: 0.78, prior_entropy: 0.9991, recall: 0.78, relative_absolute_error: 0.5404, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.413, root_relative_squared_error: 0.8265, scimark_benchmark: 1363.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.874, kappa: 0.748, kb_relative_information_score: 351.6699, mean_absolute_error: 0.1531, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8746, predictive_accuracy: 0.874, prior_entropy: 0.9991, recall: 0.874, relative_absolute_error: 0.3067, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6025, scimark_benchmark: 1368.9272, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.88, kappa: 0.7597, kb_relative_information_score: 343.8767, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.88, predictive_accuracy: 0.88, prior_entropy: 0.9991, recall: 0.88, relative_absolute_error: 0.328, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.5961, scimark_benchmark: 932.0242, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.8758, kappa: 0.7512, kb_relative_information_score: 329.8414, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8769, predictive_accuracy: 0.876, prior_entropy: 0.9991, recall: 0.876, relative_absolute_error: 0.3604, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.6042, scimark_benchmark: 918.0213, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.86, kappa: 0.7195, kb_relative_information_score: 304.672, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9991, recall: 0.86, relative_absolute_error: 0.4169, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6232, scimark_benchmark: 937.1527, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8212, kappa: 0.6422, kb_relative_information_score: 254.5697, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8246, predictive_accuracy: 0.822, prior_entropy: 0.9991, recall: 0.822, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.7027, scimark_benchmark: 876.0664, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.7999, kappa: 0.5993, kb_relative_information_score: 217.1022, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9991, recall: 0.8, relative_absolute_error: 0.5915, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.7778, scimark_benchmark: 1442.7264, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.7919, kappa: 0.5831, kb_relative_information_score: 228.1209, mean_absolute_error: 0.2803, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.792, predictive_accuracy: 0.792, prior_entropy: 0.9991, recall: 0.792, relative_absolute_error: 0.5614, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8026, scimark_benchmark: 1363.454, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7585, f_measure: 0.7447, kappa: 0.51, kb_relative_information_score: 251.5357, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.7961, predictive_accuracy: 0.752, prior_entropy: 0.9991, recall: 0.752, relative_absolute_error: 0.4966, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9966, scimark_benchmark: 1442.7264, usercpu_time_millis: 30, usercpu_time_millis_training: 30,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs