Task
Supervised Classification on heart-c

Supervised Classification on heart-c

Task 278 Supervised Classification heart-c 322 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7675, kappa: 0.5356, kb_relative_information_score: 43.8753, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.7688, predictive_accuracy: 0.7677, prior_entropy: 1.0792, recall: 0.7677, relative_absolute_error: 0.5603, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.8515, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, f_measure: 0.7979, kappa: 0.5961, kb_relative_information_score: 48.125, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.7985, predictive_accuracy: 0.798, prior_entropy: 1.0792, recall: 0.798, relative_absolute_error: 0.4999, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2591, root_relative_squared_error: 0.8153, scimark_benchmark: 851.2074, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.3711, kappa: 0.0396, kb_relative_information_score: 4.103, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.7551, predictive_accuracy: 0.5152, prior_entropy: 1.0792, recall: 0.5152, relative_absolute_error: 0.9595, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.4404, root_relative_squared_error: 1.386, scimark_benchmark: 916.0735, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.3711, kappa: 0.0396, kb_relative_information_score: 4.103, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.7551, predictive_accuracy: 0.5152, prior_entropy: 1.0792, recall: 0.5152, relative_absolute_error: 0.9595, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.4404, root_relative_squared_error: 1.386, scimark_benchmark: 941.6675, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8182, kappa: 0.6363, kb_relative_information_score: 59.4907, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8182, predictive_accuracy: 0.8182, prior_entropy: 1.0792, recall: 0.8182, relative_absolute_error: 0.3759, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.6817, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8182, kappa: 0.6363, kb_relative_information_score: 59.4907, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8182, predictive_accuracy: 0.8182, prior_entropy: 1.0792, recall: 0.8182, relative_absolute_error: 0.3759, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.6817, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8182, kappa: 0.6363, kb_relative_information_score: 59.4907, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8182, predictive_accuracy: 0.8182, prior_entropy: 1.0792, recall: 0.8182, relative_absolute_error: 0.3759, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.6817, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.8176, kappa: 0.6368, kb_relative_information_score: 44.1191, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8231, predictive_accuracy: 0.8182, prior_entropy: 1.0792, recall: 0.8182, relative_absolute_error: 0.5669, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.7152, scimark_benchmark: 941.6675, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8182, kappa: 0.6363, kb_relative_information_score: 59.4907, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8182, predictive_accuracy: 0.8182, prior_entropy: 1.0792, recall: 0.8182, relative_absolute_error: 0.3759, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.6817, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.798, kappa: 0.5959, kb_relative_information_score: 51.433, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.798, predictive_accuracy: 0.798, prior_entropy: 1.0792, recall: 0.798, relative_absolute_error: 0.4635, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.7812, scimark_benchmark: 927.2917, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.8586, kappa: 0.7173, kb_relative_information_score: 47.193, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8592, predictive_accuracy: 0.8586, prior_entropy: 1.0792, recall: 0.8586, relative_absolute_error: 0.5353, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.693, scimark_benchmark: 931.771, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.3711, kappa: 0.0396, kb_relative_information_score: 4.103, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.7551, predictive_accuracy: 0.5152, prior_entropy: 1.0792, recall: 0.5152, relative_absolute_error: 0.9595, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.4404, root_relative_squared_error: 1.386, scimark_benchmark: 937.5117, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.3711, kappa: 0.0396, kb_relative_information_score: 4.103, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.7551, predictive_accuracy: 0.5152, prior_entropy: 1.0792, recall: 0.5152, relative_absolute_error: 0.9595, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.4404, root_relative_squared_error: 1.386, scimark_benchmark: 974.2014, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8182, kappa: 0.6363, kb_relative_information_score: 59.4907, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8182, predictive_accuracy: 0.8182, prior_entropy: 1.0792, recall: 0.8182, relative_absolute_error: 0.3759, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.6817, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.798, kappa: 0.5959, kb_relative_information_score: 51.433, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.798, predictive_accuracy: 0.798, prior_entropy: 1.0792, recall: 0.798, relative_absolute_error: 0.4635, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.7812, scimark_benchmark: 938.5498, usercpu_time_millis: 390, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.8586, kappa: 0.7173, kb_relative_information_score: 47.193, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8592, predictive_accuracy: 0.8586, prior_entropy: 1.0792, recall: 0.8586, relative_absolute_error: 0.5353, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.693, scimark_benchmark: 943.1009, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7675, kappa: 0.5356, kb_relative_information_score: 43.8753, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.7688, predictive_accuracy: 0.7677, prior_entropy: 1.0792, recall: 0.7677, relative_absolute_error: 0.5603, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.8515, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, f_measure: 0.7979, kappa: 0.5961, kb_relative_information_score: 48.125, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.7985, predictive_accuracy: 0.798, prior_entropy: 1.0792, recall: 0.798, relative_absolute_error: 0.4999, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2591, root_relative_squared_error: 0.8153, scimark_benchmark: 936.2574, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.3711, kappa: 0.0396, kb_relative_information_score: 4.103, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.7551, predictive_accuracy: 0.5152, prior_entropy: 1.0792, recall: 0.5152, relative_absolute_error: 0.9595, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.4404, root_relative_squared_error: 1.386, scimark_benchmark: 927.2882, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.808, kappa: 0.616, kb_relative_information_score: 58.1298, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8082, predictive_accuracy: 0.8081, prior_entropy: 1.0792, recall: 0.8081, relative_absolute_error: 0.387, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.7155, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8182, kappa: 0.6363, kb_relative_information_score: 59.4907, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8182, predictive_accuracy: 0.8182, prior_entropy: 1.0792, recall: 0.8182, relative_absolute_error: 0.3759, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.6817, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8182, kappa: 0.6363, kb_relative_information_score: 59.4907, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8182, predictive_accuracy: 0.8182, prior_entropy: 1.0792, recall: 0.8182, relative_absolute_error: 0.3759, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.6817, scimark_benchmark: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.8176, kappa: 0.6368, kb_relative_information_score: 44.1191, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8231, predictive_accuracy: 0.8182, prior_entropy: 1.0792, recall: 0.8182, relative_absolute_error: 0.5669, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.7152, scimark_benchmark: 941.4991, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8182, kappa: 0.6363, kb_relative_information_score: 59.4907, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8182, predictive_accuracy: 0.8182, prior_entropy: 1.0792, recall: 0.8182, relative_absolute_error: 0.3759, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.6817, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.8586, kappa: 0.7173, kb_relative_information_score: 47.193, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8592, predictive_accuracy: 0.8586, prior_entropy: 1.0792, recall: 0.8586, relative_absolute_error: 0.5353, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.693, scimark_benchmark: 901.4991, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.818, kappa: 0.6366, kb_relative_information_score: 48.3925, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8204, predictive_accuracy: 0.8182, prior_entropy: 1.0792, recall: 0.8182, relative_absolute_error: 0.5205, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.6864, scimark_benchmark: 763.3895, usercpu_time_millis: 3930, usercpu_time_millis_testing: 1920, usercpu_time_millis_training: 2010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8384, kappa: 0.6769, kb_relative_information_score: 49.2103, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.839, predictive_accuracy: 0.8384, prior_entropy: 1.0792, recall: 0.8384, relative_absolute_error: 0.5112, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.6789, scimark_benchmark: 859.5223, usercpu_time_millis: 1220, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.8384, kappa: 0.6769, kb_relative_information_score: 49.8193, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.839, predictive_accuracy: 0.8384, prior_entropy: 1.0792, recall: 0.8384, relative_absolute_error: 0.5079, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.6726, scimark_benchmark: 935.0213, usercpu_time_millis: 560, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.8379, kappa: 0.6771, kb_relative_information_score: 49.7616, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8436, predictive_accuracy: 0.8384, prior_entropy: 1.0792, recall: 0.8384, relative_absolute_error: 0.5034, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.6873, scimark_benchmark: 911.2316, usercpu_time_millis: 290, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.8176, kappa: 0.6368, kb_relative_information_score: 45.3458, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8231, predictive_accuracy: 0.8182, prior_entropy: 1.0792, recall: 0.8182, relative_absolute_error: 0.5518, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.735, scimark_benchmark: 894.7131, usercpu_time_millis: 150, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3277, kb_relative_information_score: -0.5458, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.245, predictive_accuracy: 0.4949, prior_entropy: 1.0792, recall: 0.4949, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.3195, root_relative_squared_error: 1.0056, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.8584, kappa: 0.7174, kb_relative_information_score: 62.9907, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8611, predictive_accuracy: 0.8586, prior_entropy: 1.0792, recall: 0.8586, relative_absolute_error: 0.335, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2382, root_relative_squared_error: 0.7497, scimark_benchmark: 938.3115, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8382, kappa: 0.677, kb_relative_information_score: 64.1237, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8407, predictive_accuracy: 0.8384, prior_entropy: 1.0792, recall: 0.8384, relative_absolute_error: 0.3192, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.7375, scimark_benchmark: 938.3115, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.8484, kappa: 0.6971, kb_relative_information_score: 63.4785, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8499, predictive_accuracy: 0.8485, prior_entropy: 1.0792, recall: 0.8485, relative_absolute_error: 0.3267, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.7414, scimark_benchmark: 938.3115, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.8176, kappa: 0.6368, kb_relative_information_score: 61.7141, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8231, predictive_accuracy: 0.8182, prior_entropy: 1.0792, recall: 0.8182, relative_absolute_error: 0.3417, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2481, root_relative_squared_error: 0.7808, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.8379, kappa: 0.6771, kb_relative_information_score: 63.9043, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8436, predictive_accuracy: 0.8384, prior_entropy: 1.0792, recall: 0.8384, relative_absolute_error: 0.3231, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.75, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3277, kb_relative_information_score: 0.3709, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.245, predictive_accuracy: 0.4949, prior_entropy: 1.0792, recall: 0.4949, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.4495, root_relative_squared_error: 1.4146, scimark_benchmark: 938.3115,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.7917, kappa: 0.5802, kb_relative_information_score: 35.6251, mean_absolute_error: 0.1316, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.7965, predictive_accuracy: 0.7879, prior_entropy: 1.0792, recall: 0.7879, relative_absolute_error: 0.6509, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2417, root_relative_squared_error: 0.7607, scimark_benchmark: 936.7184, usercpu_time_millis: 940, usercpu_time_millis_training: 940,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.798, kappa: 0.5959, kb_relative_information_score: 51.433, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.798, predictive_accuracy: 0.798, prior_entropy: 1.0792, recall: 0.798, relative_absolute_error: 0.4635, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.7812, scimark_benchmark: 1317.6232, usercpu_time_millis: 360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.8586, kappa: 0.7173, kb_relative_information_score: 47.193, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8592, predictive_accuracy: 0.8586, prior_entropy: 1.0792, recall: 0.8586, relative_absolute_error: 0.5353, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.693, scimark_benchmark: 1310.6554, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, f_measure: 0.7979, kappa: 0.5961, kb_relative_information_score: 48.125, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.7985, predictive_accuracy: 0.798, prior_entropy: 1.0792, recall: 0.798, relative_absolute_error: 0.4999, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2591, root_relative_squared_error: 0.8153, scimark_benchmark: 1364.991, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8182, kappa: 0.6363, kb_relative_information_score: 59.4907, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8182, predictive_accuracy: 0.8182, prior_entropy: 1.0792, recall: 0.8182, relative_absolute_error: 0.3759, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.6817, scimark_benchmark: 1323.3376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8182, kappa: 0.6363, kb_relative_information_score: 59.4907, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8182, predictive_accuracy: 0.8182, prior_entropy: 1.0792, recall: 0.8182, relative_absolute_error: 0.3759, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.6817, scimark_benchmark: 1396.1629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7675, kappa: 0.5356, kb_relative_information_score: 43.8753, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.7688, predictive_accuracy: 0.7677, prior_entropy: 1.0792, recall: 0.7677, relative_absolute_error: 0.5603, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.8515, scimark_benchmark: 1349.9643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.6912, kappa: 0.3956, kb_relative_information_score: 29.6764, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.7149, predictive_accuracy: 0.697, prior_entropy: 1.0792, recall: 0.697, relative_absolute_error: 0.7143, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2831, root_relative_squared_error: 0.891, scimark_benchmark: 1323.4116, usercpu_time_millis: 170, usercpu_time_millis_testing: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.3711, kappa: 0.0396, kb_relative_information_score: 4.103, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.7551, predictive_accuracy: 0.5152, prior_entropy: 1.0792, recall: 0.5152, relative_absolute_error: 0.9595, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.4404, root_relative_squared_error: 1.386, scimark_benchmark: 1322.7257, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.8586, kappa: 0.7173, kb_relative_information_score: 47.193, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8592, predictive_accuracy: 0.8586, prior_entropy: 1.0792, recall: 0.8586, relative_absolute_error: 0.5353, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.693, scimark_benchmark: 1267.7714, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.8483, kappa: 0.6968, kb_relative_information_score: 59.3517, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8497, predictive_accuracy: 0.8485, prior_entropy: 1.0792, recall: 0.8485, relative_absolute_error: 0.3835, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.6727, scimark_benchmark: 1260.1387, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.3711, kappa: 0.0396, kb_relative_information_score: 4.103, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.7551, predictive_accuracy: 0.5152, prior_entropy: 1.0792, recall: 0.5152, relative_absolute_error: 0.9595, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.4404, root_relative_squared_error: 1.386, scimark_benchmark: 1334.1324, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8182, kappa: 0.6363, kb_relative_information_score: 59.4907, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8182, predictive_accuracy: 0.8182, prior_entropy: 1.0792, recall: 0.8182, relative_absolute_error: 0.3759, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.6817, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.3711, kappa: 0.0396, kb_relative_information_score: 4.103, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.7551, predictive_accuracy: 0.5152, prior_entropy: 1.0792, recall: 0.5152, relative_absolute_error: 0.9595, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.4404, root_relative_squared_error: 1.386, scimark_benchmark: 1322.7257, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.808, kappa: 0.616, kb_relative_information_score: 58.1298, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8082, predictive_accuracy: 0.8081, prior_entropy: 1.0792, recall: 0.8081, relative_absolute_error: 0.387, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.7155, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.8586, kappa: 0.7173, kb_relative_information_score: 47.193, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8592, predictive_accuracy: 0.8586, prior_entropy: 1.0792, recall: 0.8586, relative_absolute_error: 0.5353, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.693, scimark_benchmark: 1322.7257, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7675, kappa: 0.5356, kb_relative_information_score: 43.8753, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.7688, predictive_accuracy: 0.7677, prior_entropy: 1.0792, recall: 0.7677, relative_absolute_error: 0.5603, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.8515, scimark_benchmark: 1384.4422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.808, kappa: 0.616, kb_relative_information_score: 58.1298, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8082, predictive_accuracy: 0.8081, prior_entropy: 1.0792, recall: 0.8081, relative_absolute_error: 0.387, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.7155, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8182, kappa: 0.6363, kb_relative_information_score: 59.4907, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8182, predictive_accuracy: 0.8182, prior_entropy: 1.0792, recall: 0.8182, relative_absolute_error: 0.3759, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.6817, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7675, kappa: 0.5356, kb_relative_information_score: 43.8753, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.7688, predictive_accuracy: 0.7677, prior_entropy: 1.0792, recall: 0.7677, relative_absolute_error: 0.5603, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.8515, scimark_benchmark: 1341.5795,

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