OpenML
Supervised Classification on cleveland

Supervised Classification on cleveland

Task 3651 Supervised Classification cleveland 488 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.7849, kappa: 0.5664, kb_relative_information_score: 169.8142, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.7853, predictive_accuracy: 0.7855, prior_entropy: 0.9951, recall: 0.7855, relative_absolute_error: 0.4393, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4624, root_relative_squared_error: 0.9281, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7575, f_measure: 0.7622, kappa: 0.521, kb_relative_information_score: 156.7341, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.7622, predictive_accuracy: 0.7624, prior_entropy: 0.9951, recall: 0.7624, relative_absolute_error: 0.4823, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4857, root_relative_squared_error: 0.9747, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.8309, kappa: 0.659, kb_relative_information_score: 184.0637, mean_absolute_error: 0.2001, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8324, predictive_accuracy: 0.8317, prior_entropy: 0.9951, recall: 0.8317, relative_absolute_error: 0.4029, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.743, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8346, kappa: 0.6666, kb_relative_information_score: 191.8721, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.835, predictive_accuracy: 0.835, prior_entropy: 0.9951, recall: 0.835, relative_absolute_error: 0.3741, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.7309, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4894, f_measure: 0.3802, kb_relative_information_score: -0.0323, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.293, predictive_accuracy: 0.5413, prior_entropy: 0.9951, recall: 0.5413, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0001, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, f_measure: 0.7933, kappa: 0.5834, kb_relative_information_score: 147.6359, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.7984, predictive_accuracy: 0.7954, prior_entropy: 0.9951, recall: 0.7954, relative_absolute_error: 0.5389, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4229, root_relative_squared_error: 0.8488, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.7986, kappa: 0.5944, kb_relative_information_score: 132.7837, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.7986, predictive_accuracy: 0.7987, prior_entropy: 0.9951, recall: 0.7987, relative_absolute_error: 0.5908, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.7595, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.7685, kappa: 0.5333, kb_relative_information_score: 140.3859, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.7686, predictive_accuracy: 0.769, prior_entropy: 0.9951, recall: 0.769, relative_absolute_error: 0.5496, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8284, scimark_benchmark: 851.2074, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.828, kappa: 0.6533, kb_relative_information_score: 185.6725, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8283, predictive_accuracy: 0.8284, prior_entropy: 0.9951, recall: 0.8284, relative_absolute_error: 0.3975, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7056, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.8037, kappa: 0.6042, kb_relative_information_score: 141.9519, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8074, predictive_accuracy: 0.8053, prior_entropy: 0.9951, recall: 0.8053, relative_absolute_error: 0.5629, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7401, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8216, kappa: 0.6403, kb_relative_information_score: 167.4587, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8216, predictive_accuracy: 0.8218, prior_entropy: 0.9951, recall: 0.8218, relative_absolute_error: 0.4662, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.7208, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.828, kappa: 0.6533, kb_relative_information_score: 185.6725, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8283, predictive_accuracy: 0.8284, prior_entropy: 0.9951, recall: 0.8284, relative_absolute_error: 0.3975, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7056, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5202, f_measure: 0.4358, kappa: 0.0434, kb_relative_information_score: 32.3642, mean_absolute_error: 0.4422, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.6162, predictive_accuracy: 0.5578, prior_entropy: 0.9951, recall: 0.5578, relative_absolute_error: 0.8905, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.665, root_relative_squared_error: 1.3346, scimark_benchmark: 932.438, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5202, f_measure: 0.4358, kappa: 0.0434, kb_relative_information_score: 32.3642, mean_absolute_error: 0.4422, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.6162, predictive_accuracy: 0.5578, prior_entropy: 0.9951, recall: 0.5578, relative_absolute_error: 0.8905, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.665, root_relative_squared_error: 1.3346, scimark_benchmark: 932.438, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.828, kappa: 0.6533, kb_relative_information_score: 185.6725, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8283, predictive_accuracy: 0.8284, prior_entropy: 0.9951, recall: 0.8284, relative_absolute_error: 0.3975, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7056, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.828, kappa: 0.6533, kb_relative_information_score: 185.6725, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8283, predictive_accuracy: 0.8284, prior_entropy: 0.9951, recall: 0.8284, relative_absolute_error: 0.3975, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7056, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.8118, kappa: 0.621, kb_relative_information_score: 172.5661, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8118, predictive_accuracy: 0.8119, prior_entropy: 0.9951, recall: 0.8119, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.7605, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8146, kappa: 0.6262, kb_relative_information_score: 144.2927, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8153, predictive_accuracy: 0.8152, prior_entropy: 0.9951, recall: 0.8152, relative_absolute_error: 0.5544, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.363, root_relative_squared_error: 0.7284, scimark_benchmark: 943.1009, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, f_measure: 0.7933, kappa: 0.5834, kb_relative_information_score: 147.6359, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.7984, predictive_accuracy: 0.7954, prior_entropy: 0.9951, recall: 0.7954, relative_absolute_error: 0.5389, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4229, root_relative_squared_error: 0.8488, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.7986, kappa: 0.5944, kb_relative_information_score: 132.7837, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.7986, predictive_accuracy: 0.7987, prior_entropy: 0.9951, recall: 0.7987, relative_absolute_error: 0.5908, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.7595, scimark_benchmark: 901.6243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.7685, kappa: 0.5333, kb_relative_information_score: 140.3859, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.7686, predictive_accuracy: 0.769, prior_entropy: 0.9951, recall: 0.769, relative_absolute_error: 0.5496, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8284, scimark_benchmark: 944.0133, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5202, f_measure: 0.4358, kappa: 0.0434, kb_relative_information_score: 32.3642, mean_absolute_error: 0.4422, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.6162, predictive_accuracy: 0.5578, prior_entropy: 0.9951, recall: 0.5578, relative_absolute_error: 0.8905, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.665, root_relative_squared_error: 1.3346, scimark_benchmark: 932.438, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.828, kappa: 0.6533, kb_relative_information_score: 185.6725, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8283, predictive_accuracy: 0.8284, prior_entropy: 0.9951, recall: 0.8284, relative_absolute_error: 0.3975, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7056, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.828, kappa: 0.6533, kb_relative_information_score: 185.6725, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8283, predictive_accuracy: 0.8284, prior_entropy: 0.9951, recall: 0.8284, relative_absolute_error: 0.3975, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7056, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.828, kappa: 0.6533, kb_relative_information_score: 185.6725, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8283, predictive_accuracy: 0.8284, prior_entropy: 0.9951, recall: 0.8284, relative_absolute_error: 0.3975, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7056, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.8037, kappa: 0.6042, kb_relative_information_score: 141.9519, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8074, predictive_accuracy: 0.8053, prior_entropy: 0.9951, recall: 0.8053, relative_absolute_error: 0.5629, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7401, scimark_benchmark: 941.4991, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.828, kappa: 0.6533, kb_relative_information_score: 185.6725, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8283, predictive_accuracy: 0.8284, prior_entropy: 0.9951, recall: 0.8284, relative_absolute_error: 0.3975, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7056, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8146, kappa: 0.6262, kb_relative_information_score: 144.2927, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8153, predictive_accuracy: 0.8152, prior_entropy: 0.9951, recall: 0.8152, relative_absolute_error: 0.5544, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.363, root_relative_squared_error: 0.7284, scimark_benchmark: 936.3213, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.8279, kappa: 0.6529, kb_relative_information_score: 157.3637, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8286, predictive_accuracy: 0.8284, prior_entropy: 0.9951, recall: 0.8284, relative_absolute_error: 0.5099, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.7047, scimark_benchmark: 906.0979, usercpu_time_millis: 3130, usercpu_time_millis_testing: 1290, usercpu_time_millis_training: 1840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.8179, kappa: 0.6327, kb_relative_information_score: 158.1302, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8187, predictive_accuracy: 0.8185, prior_entropy: 0.9951, recall: 0.8185, relative_absolute_error: 0.5067, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.7046, scimark_benchmark: 939.8002, usercpu_time_millis: 1320, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.8248, kappa: 0.6468, kb_relative_information_score: 157.2613, mean_absolute_error: 0.2525, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.825, predictive_accuracy: 0.8251, prior_entropy: 0.9951, recall: 0.8251, relative_absolute_error: 0.5084, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7119, scimark_benchmark: 906.8974, usercpu_time_millis: 730, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.8376, kappa: 0.6724, kb_relative_information_score: 157.4831, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8391, predictive_accuracy: 0.8383, prior_entropy: 0.9951, recall: 0.8383, relative_absolute_error: 0.5099, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.7126, scimark_benchmark: 869.7667, usercpu_time_millis: 300, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.798, kappa: 0.5926, kb_relative_information_score: 152.2936, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.7987, predictive_accuracy: 0.7987, prior_entropy: 0.9951, recall: 0.7987, relative_absolute_error: 0.5177, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3796, root_relative_squared_error: 0.7618, scimark_benchmark: 936.1714, usercpu_time_millis: 160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.8116, kappa: 0.6201, kb_relative_information_score: 164.6298, mean_absolute_error: 0.2337, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8117, predictive_accuracy: 0.8119, prior_entropy: 0.9951, recall: 0.8119, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.759, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.8116, kappa: 0.6201, kb_relative_information_score: 164.6298, mean_absolute_error: 0.2337, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8117, predictive_accuracy: 0.8119, prior_entropy: 0.9951, recall: 0.8119, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.759, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.8116, kappa: 0.6201, kb_relative_information_score: 164.6298, mean_absolute_error: 0.2337, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8117, predictive_accuracy: 0.8119, prior_entropy: 0.9951, recall: 0.8119, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.759, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.8116, kappa: 0.6201, kb_relative_information_score: 164.6298, mean_absolute_error: 0.2337, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8117, predictive_accuracy: 0.8119, prior_entropy: 0.9951, recall: 0.8119, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.759, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4894, f_measure: 0.3802, kb_relative_information_score: -0.0323, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.293, predictive_accuracy: 0.5413, prior_entropy: 0.9951, recall: 0.5413, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0001, scimark_benchmark: 936.1714,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, f_measure: 0.7933, kappa: 0.5834, kb_relative_information_score: 147.6359, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.7984, predictive_accuracy: 0.7954, prior_entropy: 0.9951, recall: 0.7954, relative_absolute_error: 0.5389, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4229, root_relative_squared_error: 0.8488, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.7986, kappa: 0.5944, kb_relative_information_score: 132.7837, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.7986, predictive_accuracy: 0.7987, prior_entropy: 0.9951, recall: 0.7987, relative_absolute_error: 0.5908, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.7595, scimark_benchmark: 1313.8988, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.8118, kappa: 0.621, kb_relative_information_score: 172.5661, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8118, predictive_accuracy: 0.8119, prior_entropy: 0.9951, recall: 0.8119, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.7605, scimark_benchmark: 1374.9737, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, f_measure: 0.7933, kappa: 0.5834, kb_relative_information_score: 147.6359, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.7984, predictive_accuracy: 0.7954, prior_entropy: 0.9951, recall: 0.7954, relative_absolute_error: 0.5389, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4229, root_relative_squared_error: 0.8488, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.7986, kappa: 0.5944, kb_relative_information_score: 132.7837, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.7986, predictive_accuracy: 0.7987, prior_entropy: 0.9951, recall: 0.7987, relative_absolute_error: 0.5908, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.7595, scimark_benchmark: 1274.7011, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5202, f_measure: 0.4358, kappa: 0.0434, kb_relative_information_score: 32.3642, mean_absolute_error: 0.4422, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.6162, predictive_accuracy: 0.5578, prior_entropy: 0.9951, recall: 0.5578, relative_absolute_error: 0.8905, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.665, root_relative_squared_error: 1.3346, scimark_benchmark: 1296.8947, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.828, kappa: 0.6533, kb_relative_information_score: 185.6725, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8283, predictive_accuracy: 0.8284, prior_entropy: 0.9951, recall: 0.8284, relative_absolute_error: 0.3975, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7056, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.828, kappa: 0.6533, kb_relative_information_score: 185.6725, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8283, predictive_accuracy: 0.8284, prior_entropy: 0.9951, recall: 0.8284, relative_absolute_error: 0.3975, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7056, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.828, kappa: 0.6533, kb_relative_information_score: 185.6725, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8283, predictive_accuracy: 0.8284, prior_entropy: 0.9951, recall: 0.8284, relative_absolute_error: 0.3975, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7056, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.8037, kappa: 0.6042, kb_relative_information_score: 141.9519, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8074, predictive_accuracy: 0.8053, prior_entropy: 0.9951, recall: 0.8053, relative_absolute_error: 0.5629, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7401, scimark_benchmark: 1337.9552, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8216, kappa: 0.6403, kb_relative_information_score: 167.4587, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8216, predictive_accuracy: 0.8218, prior_entropy: 0.9951, recall: 0.8218, relative_absolute_error: 0.4662, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.7208, scimark_benchmark: 1310.3168, usercpu_time_millis: 2230, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.828, kappa: 0.6533, kb_relative_information_score: 185.6725, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8283, predictive_accuracy: 0.8284, prior_entropy: 0.9951, recall: 0.8284, relative_absolute_error: 0.3975, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7056, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8315, kappa: 0.6605, kb_relative_information_score: 186.6843, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8315, predictive_accuracy: 0.8317, prior_entropy: 0.9951, recall: 0.8317, relative_absolute_error: 0.3923, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.7352, scimark_benchmark: 1326.2019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.828, kappa: 0.6533, kb_relative_information_score: 185.6725, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8283, predictive_accuracy: 0.8284, prior_entropy: 0.9951, recall: 0.8284, relative_absolute_error: 0.3975, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7056, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.828, kappa: 0.6533, kb_relative_information_score: 185.6725, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8283, predictive_accuracy: 0.8284, prior_entropy: 0.9951, recall: 0.8284, relative_absolute_error: 0.3975, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7056, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.828, kappa: 0.6533, kb_relative_information_score: 185.6725, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8283, predictive_accuracy: 0.8284, prior_entropy: 0.9951, recall: 0.8284, relative_absolute_error: 0.3975, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7056, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.828, kappa: 0.6533, kb_relative_information_score: 185.6725, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8283, predictive_accuracy: 0.8284, prior_entropy: 0.9951, recall: 0.8284, relative_absolute_error: 0.3975, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7056, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.8118, kappa: 0.621, kb_relative_information_score: 172.5661, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8118, predictive_accuracy: 0.8119, prior_entropy: 0.9951, recall: 0.8119, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.7605, scimark_benchmark: 1338.5214, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8146, kappa: 0.6262, kb_relative_information_score: 144.2927, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.8153, predictive_accuracy: 0.8152, prior_entropy: 0.9951, recall: 0.8152, relative_absolute_error: 0.5544, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.363, root_relative_squared_error: 0.7284, scimark_benchmark: 1342.2845, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.7986, kappa: 0.5944, kb_relative_information_score: 132.7837, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.7986, predictive_accuracy: 0.7987, prior_entropy: 0.9951, recall: 0.7987, relative_absolute_error: 0.5908, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.7595, scimark_benchmark: 1319.5773, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.7685, kappa: 0.5333, kb_relative_information_score: 140.3859, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.7686, predictive_accuracy: 0.769, prior_entropy: 0.9951, recall: 0.769, relative_absolute_error: 0.5496, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8284, scimark_benchmark: 1339.3082, usercpu_time_millis: 40, usercpu_time_millis_training: 40,

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