OpenML
Supervised Classification on car

Supervised Classification on car

Task 1901 Supervised Classification car 194 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9222, kappa: 0.8308, kb_relative_information_score: 14429.5244, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.923, predictive_accuracy: 0.9218, prior_entropy: 1.2099, recall: 0.9218, relative_absolute_error: 0.1808, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.4989, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9074, kappa: 0.797, kb_relative_information_score: 11560.896, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9134, predictive_accuracy: 0.9035, prior_entropy: 1.2099, recall: 0.9035, relative_absolute_error: 0.4195, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.192, root_relative_squared_error: 0.568, scimark_benchmark: 851.2074, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.9158, kappa: 0.8305, kb_relative_information_score: 13080.1851, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.932, predictive_accuracy: 0.9214, prior_entropy: 1.2099, recall: 0.9214, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.5865, scimark_benchmark: 941.6675, usercpu_time_millis: 510, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9125, kappa: 0.8163, kb_relative_information_score: 11252.9595, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9165, predictive_accuracy: 0.9174, prior_entropy: 1.2099, recall: 0.9174, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.597, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9125, kappa: 0.8163, kb_relative_information_score: 11252.9595, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9165, predictive_accuracy: 0.9174, prior_entropy: 1.2099, recall: 0.9174, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.597, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9125, kappa: 0.8163, kb_relative_information_score: 11252.9595, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9165, predictive_accuracy: 0.9174, prior_entropy: 1.2099, recall: 0.9174, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.597, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9206, kappa: 0.8278, kb_relative_information_score: 13516.2364, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9226, predictive_accuracy: 0.92, prior_entropy: 1.2099, recall: 0.92, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.5012, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9125, kappa: 0.8163, kb_relative_information_score: 11252.9595, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9165, predictive_accuracy: 0.9174, prior_entropy: 1.2099, recall: 0.9174, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.597, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9488, kappa: 0.889, kb_relative_information_score: 12961.9485, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9496, predictive_accuracy: 0.9487, prior_entropy: 1.2099, recall: 0.9487, relative_absolute_error: 0.3354, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.4755, scimark_benchmark: 931.771, usercpu_time_millis: 140, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.9158, kappa: 0.8305, kb_relative_information_score: 13080.1851, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.932, predictive_accuracy: 0.9214, prior_entropy: 1.2099, recall: 0.9214, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.5865, scimark_benchmark: 932.438, usercpu_time_millis: 490, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9125, kappa: 0.8163, kb_relative_information_score: 11252.9595, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9165, predictive_accuracy: 0.9174, prior_entropy: 1.2099, recall: 0.9174, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.597, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.945, kappa: 0.8805, kb_relative_information_score: 13436.7042, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9456, predictive_accuracy: 0.9449, prior_entropy: 1.2099, recall: 0.9449, relative_absolute_error: 0.294, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.4675, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9488, kappa: 0.889, kb_relative_information_score: 12961.9485, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9496, predictive_accuracy: 0.9487, prior_entropy: 1.2099, recall: 0.9487, relative_absolute_error: 0.3354, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.4755, scimark_benchmark: 943.1009, usercpu_time_millis: 140, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9222, kappa: 0.8308, kb_relative_information_score: 14429.5244, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.923, predictive_accuracy: 0.9218, prior_entropy: 1.2099, recall: 0.9218, relative_absolute_error: 0.1808, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.4989, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9074, kappa: 0.797, kb_relative_information_score: 11560.896, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9134, predictive_accuracy: 0.9035, prior_entropy: 1.2099, recall: 0.9035, relative_absolute_error: 0.4195, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.192, root_relative_squared_error: 0.568, scimark_benchmark: 608.4057, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.9158, kappa: 0.8305, kb_relative_information_score: 13080.1851, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.932, predictive_accuracy: 0.9214, prior_entropy: 1.2099, recall: 0.9214, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.5865, scimark_benchmark: 936.2574, usercpu_time_millis: 540, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.8509, kappa: 0.6755, kb_relative_information_score: 10177.3757, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.8551, predictive_accuracy: 0.8583, prior_entropy: 1.2099, recall: 0.8583, relative_absolute_error: 0.4871, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.6676, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9125, kappa: 0.8163, kb_relative_information_score: 11252.9595, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9165, predictive_accuracy: 0.9174, prior_entropy: 1.2099, recall: 0.9174, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.597, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9125, kappa: 0.8163, kb_relative_information_score: 11252.9595, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9165, predictive_accuracy: 0.9174, prior_entropy: 1.2099, recall: 0.9174, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.597, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9125, kappa: 0.8163, kb_relative_information_score: 11252.9595, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9165, predictive_accuracy: 0.9174, prior_entropy: 1.2099, recall: 0.9174, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.597, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9206, kappa: 0.8278, kb_relative_information_score: 13516.2364, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9226, predictive_accuracy: 0.92, prior_entropy: 1.2099, recall: 0.92, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.5012, scimark_benchmark: 933.3455, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9125, kappa: 0.8163, kb_relative_information_score: 11252.9595, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9165, predictive_accuracy: 0.9174, prior_entropy: 1.2099, recall: 0.9174, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.597, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.945, kappa: 0.8805, kb_relative_information_score: 13436.7042, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9456, predictive_accuracy: 0.9449, prior_entropy: 1.2099, recall: 0.9449, relative_absolute_error: 0.294, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.4675, scimark_benchmark: 730.6551, usercpu_time_millis: 820, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9488, kappa: 0.889, kb_relative_information_score: 12961.9485, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9496, predictive_accuracy: 0.9487, prior_entropy: 1.2099, recall: 0.9487, relative_absolute_error: 0.3354, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.4755, scimark_benchmark: 1051.249, usercpu_time_millis: 130, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9908, kappa: 0.9798, kb_relative_information_score: 15064.8546, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9909, predictive_accuracy: 0.9907, prior_entropy: 1.2099, recall: 0.9907, relative_absolute_error: 0.1913, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.2858, scimark_benchmark: 851.2074, usercpu_time_millis: 11010, usercpu_time_millis_testing: 3380, usercpu_time_millis_training: 7630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9894, kappa: 0.9768, kb_relative_information_score: 14995.0385, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9895, predictive_accuracy: 0.9894, prior_entropy: 1.2099, recall: 0.9894, relative_absolute_error: 0.1974, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.2914, scimark_benchmark: 935.2002, usercpu_time_millis: 4170, usercpu_time_millis_testing: 740, usercpu_time_millis_training: 3430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9777, kb_relative_information_score: 15004.453, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9899, predictive_accuracy: 0.9898, prior_entropy: 1.2099, recall: 0.9898, relative_absolute_error: 0.1955, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0997, root_relative_squared_error: 0.2948, scimark_benchmark: 944.235, usercpu_time_millis: 2450, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 2000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9862, kappa: 0.9699, kb_relative_information_score: 14989.4517, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9863, predictive_accuracy: 0.9862, prior_entropy: 1.2099, recall: 0.9862, relative_absolute_error: 0.1951, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.102, root_relative_squared_error: 0.3016, scimark_benchmark: 945.5968, usercpu_time_millis: 1080, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9829, kappa: 0.9626, kb_relative_information_score: 15051.9771, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9829, predictive_accuracy: 0.9828, prior_entropy: 1.2099, recall: 0.9828, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.3103, scimark_benchmark: 941.9549, usercpu_time_millis: 590, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7751, f_measure: 0.5768, kb_relative_information_score: 1567.6951, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.9196, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.5768, kb_relative_information_score: -2700.7041, mean_absolute_error: 0.2754, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.2027, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.9897, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.5768, kb_relative_information_score: -2700.7041, mean_absolute_error: 0.2754, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.2027, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.9897, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.5768, kb_relative_information_score: -2700.7041, mean_absolute_error: 0.2754, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.2027, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.9897, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.5768, kb_relative_information_score: 4169.7866, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6547, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.9269, scimark_benchmark: 938.3115, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.5768, kb_relative_information_score: 3692.2063, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6842, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.9348, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5768, kb_relative_information_score: 3947.6272, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6546, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3871, root_relative_squared_error: 1.145, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9303, kappa: 0.8493, kb_relative_information_score: 14263.7748, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9323, predictive_accuracy: 0.93, prior_entropy: 1.2099, recall: 0.93, relative_absolute_error: 0.214, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.159, root_relative_squared_error: 0.4703, scimark_benchmark: 926.5859, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9125, kappa: 0.8163, kb_relative_information_score: 11252.9595, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9165, predictive_accuracy: 0.9174, prior_entropy: 1.2099, recall: 0.9174, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.597, scimark_benchmark: 1347.1763, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9125, kappa: 0.8163, kb_relative_information_score: 11252.9595, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9165, predictive_accuracy: 0.9174, prior_entropy: 1.2099, recall: 0.9174, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.597, scimark_benchmark: 1316.5668, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9125, kappa: 0.8163, kb_relative_information_score: 11252.9595, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9165, predictive_accuracy: 0.9174, prior_entropy: 1.2099, recall: 0.9174, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.597, scimark_benchmark: 1354.5533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.9158, kappa: 0.8305, kb_relative_information_score: 13080.1851, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.932, predictive_accuracy: 0.9214, prior_entropy: 1.2099, recall: 0.9214, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.5865, scimark_benchmark: 1350.7721, usercpu_time_millis: 490, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9125, kappa: 0.8163, kb_relative_information_score: 11252.9595, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9165, predictive_accuracy: 0.9174, prior_entropy: 1.2099, recall: 0.9174, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.597, scimark_benchmark: 1317.5857, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9125, kappa: 0.8163, kb_relative_information_score: 11252.9595, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9165, predictive_accuracy: 0.9174, prior_entropy: 1.2099, recall: 0.9174, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.597, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9206, kappa: 0.8278, kb_relative_information_score: 13516.2364, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9226, predictive_accuracy: 0.92, prior_entropy: 1.2099, recall: 0.92, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.5012, scimark_benchmark: 1313.5633, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9125, kappa: 0.8163, kb_relative_information_score: 11252.9595, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9165, predictive_accuracy: 0.9174, prior_entropy: 1.2099, recall: 0.9174, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.597, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.945, kappa: 0.8805, kb_relative_information_score: 13436.7042, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9456, predictive_accuracy: 0.9449, prior_entropy: 1.2099, recall: 0.9449, relative_absolute_error: 0.294, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.4675, scimark_benchmark: 1309.0674, usercpu_time_millis: 560, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9074, kappa: 0.797, kb_relative_information_score: 11560.896, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9134, predictive_accuracy: 0.9035, prior_entropy: 1.2099, recall: 0.9035, relative_absolute_error: 0.4195, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.192, root_relative_squared_error: 0.568, scimark_benchmark: 1345.7919, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9125, kappa: 0.8163, kb_relative_information_score: 11252.9595, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9165, predictive_accuracy: 0.9174, prior_entropy: 1.2099, recall: 0.9174, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.597, scimark_benchmark: 1325.3966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9125, kappa: 0.8163, kb_relative_information_score: 11252.9595, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9165, predictive_accuracy: 0.9174, prior_entropy: 1.2099, recall: 0.9174, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.597, scimark_benchmark: 1325.8927, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9125, kappa: 0.8163, kb_relative_information_score: 11252.9595, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9165, predictive_accuracy: 0.9174, prior_entropy: 1.2099, recall: 0.9174, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.597, scimark_benchmark: 1343.7262, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9206, kappa: 0.8278, kb_relative_information_score: 13516.2364, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9226, predictive_accuracy: 0.92, prior_entropy: 1.2099, recall: 0.92, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.5012, scimark_benchmark: 1303.9481, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.945, kappa: 0.8805, kb_relative_information_score: 13436.7042, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9456, predictive_accuracy: 0.9449, prior_entropy: 1.2099, recall: 0.9449, relative_absolute_error: 0.294, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.4675, scimark_benchmark: 1325.6322, usercpu_time_millis: 580, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9488, kappa: 0.889, kb_relative_information_score: 12961.9485, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9496, predictive_accuracy: 0.9487, prior_entropy: 1.2099, recall: 0.9487, relative_absolute_error: 0.3354, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.4755, scimark_benchmark: 1313.8988, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9125, kappa: 0.8163, kb_relative_information_score: 11252.9595, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9165, predictive_accuracy: 0.9174, prior_entropy: 1.2099, recall: 0.9174, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.597, scimark_benchmark: 1360.6367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9488, kappa: 0.889, kb_relative_information_score: 12961.9485, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9496, predictive_accuracy: 0.9487, prior_entropy: 1.2099, recall: 0.9487, relative_absolute_error: 0.3354, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.4755, scimark_benchmark: 929.0363, usercpu_time_millis: 180, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9222, kappa: 0.8308, kb_relative_information_score: 14429.5244, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.923, predictive_accuracy: 0.9218, prior_entropy: 1.2099, recall: 0.9218, relative_absolute_error: 0.1808, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.4989, scimark_benchmark: 1357.8069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.9158, kappa: 0.8305, kb_relative_information_score: 13080.1851, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.932, predictive_accuracy: 0.9214, prior_entropy: 1.2099, recall: 0.9214, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.5865, scimark_benchmark: 1393.8432, usercpu_time_millis: 510, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.8509, kappa: 0.6755, kb_relative_information_score: 10177.3757, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.8551, predictive_accuracy: 0.8583, prior_entropy: 1.2099, recall: 0.8583, relative_absolute_error: 0.4871, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.6676, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9488, kappa: 0.889, kb_relative_information_score: 12961.9485, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9496, predictive_accuracy: 0.9487, prior_entropy: 1.2099, recall: 0.9487, relative_absolute_error: 0.3354, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.4755, scimark_benchmark: 1260.1387, usercpu_time_millis: 140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9125, kappa: 0.8163, kb_relative_information_score: 11252.9595, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9165, predictive_accuracy: 0.9174, prior_entropy: 1.2099, recall: 0.9174, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.597, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9488, kappa: 0.889, kb_relative_information_score: 12961.9485, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.229, number_of_instances: 17280, precision: 0.9496, predictive_accuracy: 0.9487, prior_entropy: 1.2099, recall: 0.9487, relative_absolute_error: 0.3354, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.4755, scimark_benchmark: 1281.7531, usercpu_time_millis: 140, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 100,

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