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Supervised Classification on heart-h

Supervised Classification on heart-h

Task 1814 Supervised Classification heart-h 329 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.7835, kappa: 0.5265, kb_relative_information_score: 545.5013, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.7828, predictive_accuracy: 0.7857, prior_entropy: 1.0314, recall: 0.7857, relative_absolute_error: 0.6233, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.8537, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.7926, kappa: 0.5506, kb_relative_information_score: 660.2884, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.7928, predictive_accuracy: 0.7925, prior_entropy: 1.0314, recall: 0.7925, relative_absolute_error: 0.5174, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2536, root_relative_squared_error: 0.8352, scimark_benchmark: 851.2074, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8438, kappa: 0.6582, kb_relative_information_score: 799.133, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.8441, predictive_accuracy: 0.8456, prior_entropy: 1.0314, recall: 0.8456, relative_absolute_error: 0.4219, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.7199, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8438, kappa: 0.6582, kb_relative_information_score: 799.133, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.8441, predictive_accuracy: 0.8456, prior_entropy: 1.0314, recall: 0.8456, relative_absolute_error: 0.4219, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.7199, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.8036, kappa: 0.5718, kb_relative_information_score: 594.8656, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.803, predictive_accuracy: 0.8048, prior_entropy: 1.0314, recall: 0.8048, relative_absolute_error: 0.5819, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.7784, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8438, kappa: 0.6582, kb_relative_information_score: 799.133, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.8441, predictive_accuracy: 0.8456, prior_entropy: 1.0314, recall: 0.8456, relative_absolute_error: 0.4219, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.7199, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.804, kappa: 0.5724, kb_relative_information_score: 627.4487, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.8035, predictive_accuracy: 0.8054, prior_entropy: 1.0314, recall: 0.8054, relative_absolute_error: 0.5559, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.761, scimark_benchmark: 931.771, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, kb_relative_information_score: 274.7477, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 1.0314, recall: 0.6395, relative_absolute_error: 0.7724, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3798, root_relative_squared_error: 1.2504, scimark_benchmark: 941.3847, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.8382, kappa: 0.6459, kb_relative_information_score: 802.7063, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.8385, predictive_accuracy: 0.8401, prior_entropy: 1.0314, recall: 0.8401, relative_absolute_error: 0.4159, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.7446, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.8107, kappa: 0.5867, kb_relative_information_score: 697.466, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.8102, predictive_accuracy: 0.8122, prior_entropy: 1.0314, recall: 0.8122, relative_absolute_error: 0.4937, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.7697, scimark_benchmark: 943.1009, usercpu_time_millis: 440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.804, kappa: 0.5724, kb_relative_information_score: 627.4487, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.8035, predictive_accuracy: 0.8054, prior_entropy: 1.0314, recall: 0.8054, relative_absolute_error: 0.5559, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.761, scimark_benchmark: 943.1009, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.7835, kappa: 0.5265, kb_relative_information_score: 545.5013, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.7828, predictive_accuracy: 0.7857, prior_entropy: 1.0314, recall: 0.7857, relative_absolute_error: 0.6233, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.8537, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.7926, kappa: 0.5506, kb_relative_information_score: 660.2884, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.7928, predictive_accuracy: 0.7925, prior_entropy: 1.0314, recall: 0.7925, relative_absolute_error: 0.5174, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2536, root_relative_squared_error: 0.8352, scimark_benchmark: 608.4057, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, kb_relative_information_score: 274.7477, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 1.0314, recall: 0.6395, relative_absolute_error: 0.7724, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3798, root_relative_squared_error: 1.2504, scimark_benchmark: 930.404, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8438, kappa: 0.6582, kb_relative_information_score: 799.133, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.8441, predictive_accuracy: 0.8456, prior_entropy: 1.0314, recall: 0.8456, relative_absolute_error: 0.4219, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.7199, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8438, kappa: 0.6582, kb_relative_information_score: 799.133, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.8441, predictive_accuracy: 0.8456, prior_entropy: 1.0314, recall: 0.8456, relative_absolute_error: 0.4219, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.7199, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8438, kappa: 0.6582, kb_relative_information_score: 799.133, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.8441, predictive_accuracy: 0.8456, prior_entropy: 1.0314, recall: 0.8456, relative_absolute_error: 0.4219, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.7199, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8438, kappa: 0.6582, kb_relative_information_score: 799.133, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.8441, predictive_accuracy: 0.8456, prior_entropy: 1.0314, recall: 0.8456, relative_absolute_error: 0.4219, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.7199, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.8036, kappa: 0.5718, kb_relative_information_score: 594.8656, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.803, predictive_accuracy: 0.8048, prior_entropy: 1.0314, recall: 0.8048, relative_absolute_error: 0.5819, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.7784, scimark_benchmark: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8438, kappa: 0.6582, kb_relative_information_score: 799.133, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.8441, predictive_accuracy: 0.8456, prior_entropy: 1.0314, recall: 0.8456, relative_absolute_error: 0.4219, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.7199, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.8107, kappa: 0.5867, kb_relative_information_score: 697.466, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.8102, predictive_accuracy: 0.8122, prior_entropy: 1.0314, recall: 0.8122, relative_absolute_error: 0.4937, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.7697, scimark_benchmark: 917.5013, usercpu_time_millis: 500, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.804, kappa: 0.5724, kb_relative_information_score: 627.4487, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.8035, predictive_accuracy: 0.8054, prior_entropy: 1.0314, recall: 0.8054, relative_absolute_error: 0.5559, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.761, scimark_benchmark: 936.9595, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.8133, kappa: 0.5905, kb_relative_information_score: 629.1665, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.814, predictive_accuracy: 0.8163, prior_entropy: 1.0314, recall: 0.8163, relative_absolute_error: 0.5662, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.738, scimark_benchmark: 938.4601, usercpu_time_millis: 1840, usercpu_time_millis_testing: 670, usercpu_time_millis_training: 1170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.815, kappa: 0.5939, kb_relative_information_score: 629.7593, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.8162, predictive_accuracy: 0.8184, prior_entropy: 1.0314, recall: 0.8184, relative_absolute_error: 0.5652, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.225, root_relative_squared_error: 0.7409, scimark_benchmark: 901.6243, usercpu_time_millis: 860, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.814, kappa: 0.5919, kb_relative_information_score: 627.6082, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.8147, predictive_accuracy: 0.817, prior_entropy: 1.0314, recall: 0.817, relative_absolute_error: 0.5672, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.7412, scimark_benchmark: 917.2109, usercpu_time_millis: 430, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.8149, kappa: 0.5943, kb_relative_information_score: 627.852, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.8154, predictive_accuracy: 0.8177, prior_entropy: 1.0314, recall: 0.8177, relative_absolute_error: 0.5669, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.7422, scimark_benchmark: 896.2181, usercpu_time_millis: 200, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.8114, kappa: 0.5873, kb_relative_information_score: 617.4854, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.8112, predictive_accuracy: 0.8136, prior_entropy: 1.0314, recall: 0.8136, relative_absolute_error: 0.5718, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.231, root_relative_squared_error: 0.7607, scimark_benchmark: 941.9549, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, kb_relative_information_score: -28.151, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 1.0314, recall: 0.6395, relative_absolute_error: 1.0117, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3038, root_relative_squared_error: 1.0003, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.8113, kappa: 0.5888, kb_relative_information_score: 796.3951, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.8107, predictive_accuracy: 0.8122, prior_entropy: 1.0314, recall: 0.8122, relative_absolute_error: 0.4053, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2603, root_relative_squared_error: 0.8569, scimark_benchmark: 938.3115, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.8159, kappa: 0.5977, kb_relative_information_score: 804.5952, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.8156, predictive_accuracy: 0.8177, prior_entropy: 1.0314, recall: 0.8177, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.8443, scimark_benchmark: 936.1714, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.8067, kappa: 0.5781, kb_relative_information_score: 788.3803, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.8061, predictive_accuracy: 0.8082, prior_entropy: 1.0314, recall: 0.8082, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.26, root_relative_squared_error: 0.856, scimark_benchmark: 940.0055, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.8074, kappa: 0.5778, kb_relative_information_score: 788.0378, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.8076, predictive_accuracy: 0.8102, prior_entropy: 1.0314, recall: 0.8102, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.8534, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.7997, kappa: 0.5615, kb_relative_information_score: 767.6912, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.7993, predictive_accuracy: 0.802, prior_entropy: 1.0314, recall: 0.802, relative_absolute_error: 0.425, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2668, root_relative_squared_error: 0.8783, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, kb_relative_information_score: 274.7477, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 1.0314, recall: 0.6395, relative_absolute_error: 0.7724, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3798, root_relative_squared_error: 1.2504, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7654, f_measure: 0.7783, kappa: 0.5146, kb_relative_information_score: 556.6294, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.7776, predictive_accuracy: 0.781, prior_entropy: 1.0314, recall: 0.781, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.8893, scimark_benchmark: 926.5859, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.7876, kappa: 0.5286, kb_relative_information_score: 411.6441, mean_absolute_error: 0.1327, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.7946, predictive_accuracy: 0.7837, prior_entropy: 1.0314, recall: 0.7837, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.8535, scimark_benchmark: 931.7994, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.8101, kappa: 0.5819, kb_relative_information_score: 516.7153, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.8134, predictive_accuracy: 0.815, prior_entropy: 1.0314, recall: 0.815, relative_absolute_error: 0.6593, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.7763, scimark_benchmark: 931.7994,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.7926, kappa: 0.5506, kb_relative_information_score: 660.2884, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.7928, predictive_accuracy: 0.7925, prior_entropy: 1.0314, recall: 0.7925, relative_absolute_error: 0.5174, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2536, root_relative_squared_error: 0.8352, scimark_benchmark: 942.6192, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.8107, kappa: 0.5867, kb_relative_information_score: 697.466, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.8102, predictive_accuracy: 0.8122, prior_entropy: 1.0314, recall: 0.8122, relative_absolute_error: 0.4937, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.7697, scimark_benchmark: 1375.1578, usercpu_time_millis: 440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.8382, kappa: 0.6459, kb_relative_information_score: 802.7063, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.8385, predictive_accuracy: 0.8401, prior_entropy: 1.0314, recall: 0.8401, relative_absolute_error: 0.4159, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.7446, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8438, kappa: 0.6582, kb_relative_information_score: 799.133, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.8441, predictive_accuracy: 0.8456, prior_entropy: 1.0314, recall: 0.8456, relative_absolute_error: 0.4219, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.7199, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.8036, kappa: 0.5718, kb_relative_information_score: 594.8656, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.803, predictive_accuracy: 0.8048, prior_entropy: 1.0314, recall: 0.8048, relative_absolute_error: 0.5819, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.7784, scimark_benchmark: 1337.9552, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8438, kappa: 0.6582, kb_relative_information_score: 799.133, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.8441, predictive_accuracy: 0.8456, prior_entropy: 1.0314, recall: 0.8456, relative_absolute_error: 0.4219, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.7199, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.804, kappa: 0.5724, kb_relative_information_score: 627.4487, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.8035, predictive_accuracy: 0.8054, prior_entropy: 1.0314, recall: 0.8054, relative_absolute_error: 0.5559, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.761, scimark_benchmark: 1343.3311, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, kb_relative_information_score: 274.7477, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 1.0314, recall: 0.6395, relative_absolute_error: 0.7724, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3798, root_relative_squared_error: 1.2504, scimark_benchmark: 1350.7721, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.8382, kappa: 0.6459, kb_relative_information_score: 802.7063, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.8385, predictive_accuracy: 0.8401, prior_entropy: 1.0314, recall: 0.8401, relative_absolute_error: 0.4159, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.7446, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8438, kappa: 0.6582, kb_relative_information_score: 799.133, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.8441, predictive_accuracy: 0.8456, prior_entropy: 1.0314, recall: 0.8456, relative_absolute_error: 0.4219, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.7199, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8438, kappa: 0.6582, kb_relative_information_score: 799.133, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.8441, predictive_accuracy: 0.8456, prior_entropy: 1.0314, recall: 0.8456, relative_absolute_error: 0.4219, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.7199, scimark_benchmark: 1317.5348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.8107, kappa: 0.5867, kb_relative_information_score: 697.466, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.8102, predictive_accuracy: 0.8122, prior_entropy: 1.0314, recall: 0.8122, relative_absolute_error: 0.4937, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.7697, scimark_benchmark: 1309.2287, usercpu_time_millis: 450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.7835, kappa: 0.5265, kb_relative_information_score: 545.5013, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.7828, predictive_accuracy: 0.7857, prior_entropy: 1.0314, recall: 0.7857, relative_absolute_error: 0.6233, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.8537, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.7912, kappa: 0.5459, kb_relative_information_score: 571.7245, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.7907, predictive_accuracy: 0.7918, prior_entropy: 1.0314, recall: 0.7918, relative_absolute_error: 0.6076, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.8106, scimark_benchmark: 1364.991, usercpu_time_millis: 140, usercpu_time_millis_testing: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.7926, kappa: 0.5506, kb_relative_information_score: 660.2884, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.7928, predictive_accuracy: 0.7925, prior_entropy: 1.0314, recall: 0.7925, relative_absolute_error: 0.5174, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2536, root_relative_squared_error: 0.8352, scimark_benchmark: 1345.7919, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8438, kappa: 0.6582, kb_relative_information_score: 799.133, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.8441, predictive_accuracy: 0.8456, prior_entropy: 1.0314, recall: 0.8456, relative_absolute_error: 0.4219, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.7199, scimark_benchmark: 1331.2559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.8107, kappa: 0.5867, kb_relative_information_score: 697.466, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.8102, predictive_accuracy: 0.8122, prior_entropy: 1.0314, recall: 0.8122, relative_absolute_error: 0.4937, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.7697, scimark_benchmark: 1342.6744, usercpu_time_millis: 460, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.804, kappa: 0.5724, kb_relative_information_score: 627.4487, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.8035, predictive_accuracy: 0.8054, prior_entropy: 1.0314, recall: 0.8054, relative_absolute_error: 0.5559, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.761, scimark_benchmark: 1351.1238, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8438, kappa: 0.6582, kb_relative_information_score: 799.133, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.8441, predictive_accuracy: 0.8456, prior_entropy: 1.0314, recall: 0.8456, relative_absolute_error: 0.4219, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.7199, scimark_benchmark: 1325.6322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.804, kappa: 0.5724, kb_relative_information_score: 627.4487, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.8035, predictive_accuracy: 0.8054, prior_entropy: 1.0314, recall: 0.8054, relative_absolute_error: 0.5559, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.761, scimark_benchmark: 1360.6367, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.837, kappa: 0.6435, kb_relative_information_score: 775.3804, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.8371, predictive_accuracy: 0.8388, prior_entropy: 1.0314, recall: 0.8388, relative_absolute_error: 0.4403, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.719, scimark_benchmark: 1363.1824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.7835, kappa: 0.5265, kb_relative_information_score: 545.5013, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.7828, predictive_accuracy: 0.7857, prior_entropy: 1.0314, recall: 0.7857, relative_absolute_error: 0.6233, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.8537, scimark_benchmark: 1360.0477, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, kb_relative_information_score: 274.7477, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 1.0314, recall: 0.6395, relative_absolute_error: 0.7724, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3798, root_relative_squared_error: 1.2504, scimark_benchmark: 1350.007, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.8382, kappa: 0.6459, kb_relative_information_score: 802.7063, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.1867, number_of_instances: 1470, precision: 0.8385, predictive_accuracy: 0.8401, prior_entropy: 1.0314, recall: 0.8401, relative_absolute_error: 0.4159, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.7446, scimark_benchmark: 1354.3488,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs