OpenML
Supervised Classification on heart-h

Supervised Classification on heart-h

Task 50 Supervised Classification heart-h 703 runs submitted
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  • basic study_1 study_107 study_41 study_50 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.7909, kappa: 0.5435, kb_relative_information_score: 149.3243, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7902, predictive_accuracy: 0.7925, prior_entropy: 1.0314, recall: 0.7925, relative_absolute_error: 0.4418, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2555, root_relative_squared_error: 0.8413, scimark_benchmark: 478.6878, usercpu_time_millis: 3590, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.8464, kappa: 0.666, kb_relative_information_score: 141.5878, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8461, predictive_accuracy: 0.8469, prior_entropy: 1.0314, recall: 0.8469, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2253, root_relative_squared_error: 0.7419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.7967, kappa: 0.5547, kb_relative_information_score: 140.4041, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7964, predictive_accuracy: 0.7993, prior_entropy: 1.0314, recall: 0.7993, relative_absolute_error: 0.4832, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.248, root_relative_squared_error: 0.8167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.8151, kappa: 0.5967, kb_relative_information_score: 151.2447, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8146, predictive_accuracy: 0.8163, prior_entropy: 1.0314, recall: 0.8163, relative_absolute_error: 0.4506, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.7778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8114, kappa: 0.5846, kb_relative_information_score: 144.1468, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.815, predictive_accuracy: 0.8163, prior_entropy: 1.0314, recall: 0.8163, relative_absolute_error: 0.4866, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.7103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, f_measure: 0.4988, kb_relative_information_score: -0.6413, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 1.0314, recall: 0.6395, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3037, root_relative_squared_error: 1.0001, scimark_benchmark: 1241.5236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, f_measure: 0.4988, kb_relative_information_score: -0.6413, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 1.0314, recall: 0.6395, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3037, root_relative_squared_error: 1.0001, scimark_benchmark: 1248.2165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, kb_relative_information_score: 54.9495, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.1867, number_of_instances: 294, 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: 937.5117, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.832, kappa: 0.6333, kb_relative_information_score: 150.0725, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8317, predictive_accuracy: 0.8333, prior_entropy: 1.0314, recall: 0.8333, relative_absolute_error: 0.4523, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.7554, scimark_benchmark: 927.2917, usercpu_time_millis: 440, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8486, kappa: 0.6686, kb_relative_information_score: 166.552, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.849, predictive_accuracy: 0.8503, prior_entropy: 1.0314, recall: 0.8503, relative_absolute_error: 0.3991, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.212, root_relative_squared_error: 0.6981, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.8046, kappa: 0.5734, kb_relative_information_score: 149.9927, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.804, predictive_accuracy: 0.8061, prior_entropy: 1.0314, recall: 0.8061, relative_absolute_error: 0.4427, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.257, root_relative_squared_error: 0.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.8191, kappa: 0.6066, kb_relative_information_score: 113.8249, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8187, predictive_accuracy: 0.8197, prior_entropy: 1.0314, recall: 0.8197, relative_absolute_error: 0.5909, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8486, kappa: 0.6686, kb_relative_information_score: 166.552, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.849, predictive_accuracy: 0.8503, prior_entropy: 1.0314, recall: 0.8503, relative_absolute_error: 0.3991, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.212, root_relative_squared_error: 0.6981, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8146, kappa: 0.595, kb_relative_information_score: 131.2517, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8142, predictive_accuracy: 0.8163, prior_entropy: 1.0314, recall: 0.8163, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.7505, scimark_benchmark: 901.4991, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.832, kappa: 0.6333, kb_relative_information_score: 150.0725, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8317, predictive_accuracy: 0.8333, prior_entropy: 1.0314, recall: 0.8333, relative_absolute_error: 0.4523, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.7554, scimark_benchmark: 935.627, usercpu_time_millis: 450, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.8076, kappa: 0.576, kb_relative_information_score: 155.8948, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8116, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.4189, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.8733, 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: 0.4988, kb_relative_information_score: 54.9495, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.1867, number_of_instances: 294, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.8302, kappa: 0.627, kb_relative_information_score: 166.8497, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8318, predictive_accuracy: 0.8333, prior_entropy: 1.0314, recall: 0.8333, relative_absolute_error: 0.3802, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.823, scimark_benchmark: 936.1714, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.8088, kappa: 0.5796, kb_relative_information_score: 125.5632, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8107, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.568, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.7389, scimark_benchmark: 930.2337, usercpu_time_millis: 430, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.8088, kappa: 0.5796, kb_relative_information_score: 128.8084, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8107, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.5551, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.223, root_relative_squared_error: 0.7342, scimark_benchmark: 903.2737, usercpu_time_millis: 840, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.8227, kappa: 0.6102, kb_relative_information_score: 128.4867, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8251, predictive_accuracy: 0.8265, prior_entropy: 1.0314, recall: 0.8265, relative_absolute_error: 0.5581, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2213, root_relative_squared_error: 0.7287, scimark_benchmark: 972.587, usercpu_time_millis: 2960, usercpu_time_millis_testing: 1440, usercpu_time_millis_training: 1520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.7987, kappa: 0.5576, kb_relative_information_score: 124.3221, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7999, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.568, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.226, root_relative_squared_error: 0.7441, scimark_benchmark: 930.0025, usercpu_time_millis: 230, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.8082, kappa: 0.5778, kb_relative_information_score: 124.5956, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8111, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.5676, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.23, root_relative_squared_error: 0.7573, scimark_benchmark: 936.7184, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8486, kappa: 0.6686, kb_relative_information_score: 166.552, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.849, predictive_accuracy: 0.8503, prior_entropy: 1.0314, recall: 0.8503, relative_absolute_error: 0.3991, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.212, root_relative_squared_error: 0.6981, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8486, kappa: 0.6686, kb_relative_information_score: 166.552, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.849, predictive_accuracy: 0.8503, prior_entropy: 1.0314, recall: 0.8503, relative_absolute_error: 0.3991, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.212, root_relative_squared_error: 0.6981, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, kb_relative_information_score: 54.9495, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.1867, number_of_instances: 294, 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: 80, usercpu_time_millis_testing: 30, 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: 54.9495, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.1867, number_of_instances: 294, 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: 859.5223, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.7827, kappa: 0.5298, kb_relative_information_score: 140.0988, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7833, predictive_accuracy: 0.7823, prior_entropy: 1.0314, recall: 0.7823, relative_absolute_error: 0.4857, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.7794, scimark_benchmark: 936.2574, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.832, kappa: 0.6333, kb_relative_information_score: 150.0725, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8317, predictive_accuracy: 0.8333, prior_entropy: 1.0314, recall: 0.8333, relative_absolute_error: 0.4523, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.7554, scimark_benchmark: 936.3213, usercpu_time_millis: 440, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.8009, kappa: 0.565, kb_relative_information_score: 120.3969, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8004, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.234, root_relative_squared_error: 0.7703, scimark_benchmark: 933.3455, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8486, kappa: 0.6686, kb_relative_information_score: 166.552, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.849, predictive_accuracy: 0.8503, prior_entropy: 1.0314, recall: 0.8503, relative_absolute_error: 0.3991, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.212, root_relative_squared_error: 0.6981, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8486, kappa: 0.6686, kb_relative_information_score: 166.552, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.849, predictive_accuracy: 0.8503, prior_entropy: 1.0314, recall: 0.8503, relative_absolute_error: 0.3991, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.212, root_relative_squared_error: 0.6981, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, f_measure: 0.4988, kb_relative_information_score: -0.6413, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 1.0314, recall: 0.6395, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3037, root_relative_squared_error: 1.0001, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.8201, kappa: 0.605, kb_relative_information_score: 165.6887, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8211, predictive_accuracy: 0.8231, prior_entropy: 1.0314, recall: 0.8231, relative_absolute_error: 0.3823, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2509, root_relative_squared_error: 0.8263, scimark_benchmark: 936.1714, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.8119, kappa: 0.5901, kb_relative_information_score: 150.7563, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8114, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.4515, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.7315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8279, kappa: 0.6234, kb_relative_information_score: 162.7586, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.828, predictive_accuracy: 0.8299, prior_entropy: 1.0314, recall: 0.8299, relative_absolute_error: 0.4047, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.7459,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.836, kappa: 0.643, kb_relative_information_score: 155.7966, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8356, predictive_accuracy: 0.8367, prior_entropy: 1.0314, recall: 0.8367, relative_absolute_error: 0.4407, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.7268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7542, f_measure: 0.7861, kappa: 0.5311, kb_relative_information_score: 105.9165, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7858, predictive_accuracy: 0.7891, prior_entropy: 1.0314, recall: 0.7891, relative_absolute_error: 0.6427, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7961, kappa: 0.5528, kb_relative_information_score: 130.4985, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7963, predictive_accuracy: 0.7993, prior_entropy: 1.0314, recall: 0.7993, relative_absolute_error: 0.5401, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.7632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.8562, kappa: 0.6863, kb_relative_information_score: 118.0909, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.856, predictive_accuracy: 0.8571, prior_entropy: 1.0314, recall: 0.8571, relative_absolute_error: 0.6043, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.7395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.84, kappa: 0.6526, kb_relative_information_score: 170.4474, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8398, predictive_accuracy: 0.8401, prior_entropy: 1.0314, recall: 0.8401, relative_absolute_error: 0.3722, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.7412,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.794, kappa: 0.55, kb_relative_information_score: 0.4577, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7934, predictive_accuracy: 0.7959, prior_entropy: 0.9577, recall: 0.7959, relative_absolute_error: 0.5459, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2467, root_relative_squared_error: 0.8121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, build_cpu_time: 0.0056, build_memory: 1423393791.0476, f_measure: 0.803, kappa: 0.568, kb_relative_information_score: 116.8119, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8034, predictive_accuracy: 0.8061, prior_entropy: 1.0314, recall: 0.8061, relative_absolute_error: 0.6008, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.7569, scimark_benchmark: 942.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, build_cpu_time: 8.2158, build_memory: 141381921.9048, f_measure: 0.8151, kappa: 0.5967, kb_relative_information_score: 141.757, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8146, predictive_accuracy: 0.8163, prior_entropy: 1.0314, recall: 0.8163, relative_absolute_error: 0.4894, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.7458, scimark_benchmark: 1130.398,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.794, kappa: 0.55, kb_relative_information_score: 0.4614, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1867, weighted_recall: 0.7959, number_of_instances: 294, precision: 0.7934, predictive_accuracy: 0.7959, prior_entropy: 0.9577, relative_absolute_error: 0.5512, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.7653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, build_cpu_time: 10.1098, build_memory: 822579513.2789, f_measure: 0.794, kappa: 0.55, kb_relative_information_score: 148.5525, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7934, predictive_accuracy: 0.7959, prior_entropy: 1.0314, recall: 0.7959, relative_absolute_error: 0.4445, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.8838, scimark_benchmark: 939.8137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, build_cpu_time: 0.0478, build_memory: 813930188.9252, f_measure: 0.7242, kappa: 0.4013, kb_relative_information_score: 111.3204, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7239, predictive_accuracy: 0.7245, prior_entropy: 1.0314, recall: 0.7245, relative_absolute_error: 0.5751, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3032, root_relative_squared_error: 0.9982, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, build_cpu_time: 0.08, build_memory: 1527962003.4558, f_measure: 0.8046, kappa: 0.5734, kb_relative_information_score: 132.6478, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.804, predictive_accuracy: 0.8061, prior_entropy: 1.0314, recall: 0.8061, relative_absolute_error: 0.5278, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.7446, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, build_cpu_time: 0.076, build_memory: 1950026150.3401, f_measure: 0.8046, kappa: 0.5734, kb_relative_information_score: 132.6478, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.804, predictive_accuracy: 0.8061, prior_entropy: 1.0314, recall: 0.8061, relative_absolute_error: 0.5278, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.7446, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, build_cpu_time: 0.0359, build_memory: 339767117.7687, f_measure: 0.7797, kappa: 0.518, kb_relative_information_score: 142.5239, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7791, predictive_accuracy: 0.7823, prior_entropy: 1.0314, recall: 0.7823, relative_absolute_error: 0.4639, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2889, root_relative_squared_error: 0.9511, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7645, build_cpu_time: 0.1466, build_memory: 756555094.585, f_measure: 0.7242, kappa: 0.4013, kb_relative_information_score: 102.9699, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7239, predictive_accuracy: 0.7245, prior_entropy: 1.0314, recall: 0.7245, relative_absolute_error: 0.6052, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3221, root_relative_squared_error: 1.0605, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, build_cpu_time: 0.0602, build_memory: 2305908160.5442, f_measure: 0.8046, kappa: 0.5734, kb_relative_information_score: 132.6478, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.804, predictive_accuracy: 0.8061, prior_entropy: 1.0314, recall: 0.8061, relative_absolute_error: 0.5278, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.7446, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, build_cpu_time: 0.119, build_memory: 1681507254.5034, f_measure: 0.8046, kappa: 0.5734, kb_relative_information_score: 132.6478, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.804, predictive_accuracy: 0.8061, prior_entropy: 1.0314, recall: 0.8061, relative_absolute_error: 0.5278, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.7446, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, build_cpu_time: 0.0814, build_memory: 1212149946.3674, f_measure: 0.8046, kappa: 0.5734, kb_relative_information_score: 132.6478, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.804, predictive_accuracy: 0.8061, prior_entropy: 1.0314, recall: 0.8061, relative_absolute_error: 0.5278, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.7446, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, build_cpu_time: 0.0099, build_memory: 951367061.9864, f_measure: 0.7977, kappa: 0.5584, kb_relative_information_score: 151.314, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7971, predictive_accuracy: 0.7993, prior_entropy: 1.0314, recall: 0.7993, relative_absolute_error: 0.4337, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.91, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, build_cpu_time: 0.0181, build_memory: 1737303101.8776, f_measure: 0.7861, kappa: 0.5311, kb_relative_information_score: 146.7684, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7858, predictive_accuracy: 0.7891, prior_entropy: 1.0314, recall: 0.7891, relative_absolute_error: 0.4485, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2824, root_relative_squared_error: 0.93, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7888, build_cpu_time: 0.0254, build_memory: 2027132878.6939, f_measure: 0.7522, kappa: 0.4577, kb_relative_information_score: 120.4951, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7512, predictive_accuracy: 0.7551, prior_entropy: 1.0314, recall: 0.7551, relative_absolute_error: 0.5511, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.9394, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8184, kappa: 0.6, kb_relative_information_score: 163.978, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8222, predictive_accuracy: 0.8231, prior_entropy: 1.0314, recall: 0.8231, relative_absolute_error: 0.3903, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.8416, scimark_benchmark: 939.7623, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7041, f_measure: 0.6827, kappa: 0.3681, kb_relative_information_score: 78.8095, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7327, predictive_accuracy: 0.6769, prior_entropy: 1.0314, recall: 0.6769, relative_absolute_error: 0.6923, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3595, root_relative_squared_error: 1.1837, scimark_benchmark: 1327.035, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.8069, kappa: 0.5741, kb_relative_information_score: 110.2227, mean_absolute_error: 0.1189, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8123, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.6366, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.7494, scimark_benchmark: 1352.2099, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs