Task
Supervised Classification on analcatdata_authorship

Supervised Classification on analcatdata_authorship

Task 3549 Supervised Classification analcatdata_authorship 20597 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 833.6761, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7898, recall: 0.9917, relative_absolute_error: 0.0094, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.1117, scimark_benchmark: 943.1756, usercpu_time_millis: 10760, usercpu_time_millis_testing: 10760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 831.9383, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7898, recall: 0.9929, relative_absolute_error: 0.012, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.1324, scimark_benchmark: 939.5088, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 831.9383, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7898, recall: 0.9929, relative_absolute_error: 0.012, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.1324, scimark_benchmark: 937.1527, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 829.7609, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.018, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0397, root_relative_squared_error: 0.0958, scimark_benchmark: 1360.2771, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9654, kappa: 0.9497, kb_relative_information_score: 793.1527, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9656, predictive_accuracy: 0.9655, prior_entropy: 1.7898, recall: 0.9655, relative_absolute_error: 0.0674, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1176, root_relative_squared_error: 0.2836, scimark_benchmark: 1335.5424, usercpu_time_millis: 600, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.8558, kappa: 0.7903, kb_relative_information_score: 673.742, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8586, predictive_accuracy: 0.8561, prior_entropy: 1.7898, recall: 0.8561, relative_absolute_error: 0.2092, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2682, root_relative_squared_error: 0.647, scimark_benchmark: 833.3193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9536, kappa: 0.9324, kb_relative_information_score: 748.2001, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9536, predictive_accuracy: 0.9536, prior_entropy: 1.7898, recall: 0.9536, relative_absolute_error: 0.149, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.3223, scimark_benchmark: 854.5188, usercpu_time_millis: 1600, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.8726, kappa: 0.8147, kb_relative_information_score: 685.7492, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8738, predictive_accuracy: 0.8728, prior_entropy: 1.7898, recall: 0.8728, relative_absolute_error: 0.2036, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.5716, scimark_benchmark: 1249.4068, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9689, kappa: 0.955, kb_relative_information_score: 706.2255, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9697, predictive_accuracy: 0.9691, prior_entropy: 1.7898, recall: 0.9691, relative_absolute_error: 0.2373, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1369, root_relative_squared_error: 0.3302, scimark_benchmark: 1352.2099, usercpu_time_millis: 450, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9393, kappa: 0.9117, kb_relative_information_score: 757.5497, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9393, predictive_accuracy: 0.9394, prior_entropy: 1.7898, recall: 0.9394, relative_absolute_error: 0.1196, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.3602, scimark_benchmark: 1343.4596, usercpu_time_millis: 700, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.9261, kappa: 0.8926, kb_relative_information_score: 745.8336, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9261, predictive_accuracy: 0.9263, prior_entropy: 1.7898, recall: 0.9263, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.4499, scimark_benchmark: 1327.2954, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 838.0232, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7898, recall: 0.9988, relative_absolute_error: 0.0029, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0269, root_relative_squared_error: 0.0649, scimark_benchmark: 1354.7191, usercpu_time_millis: 80, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 831.9383, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7898, recall: 0.9929, relative_absolute_error: 0.012, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.1324, scimark_benchmark: 933.1165, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 838.0232, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7898, recall: 0.9988, relative_absolute_error: 0.0029, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0269, root_relative_squared_error: 0.0649, scimark_benchmark: 933.1165, usercpu_time_millis: 110, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.8726, kappa: 0.8147, kb_relative_information_score: 685.7492, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8738, predictive_accuracy: 0.8728, prior_entropy: 1.7898, recall: 0.8728, relative_absolute_error: 0.2036, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.5716, scimark_benchmark: 1329.8937, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 838.0232, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7898, recall: 0.9988, relative_absolute_error: 0.0029, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0269, root_relative_squared_error: 0.0649, scimark_benchmark: 918.0213, usercpu_time_millis: 110, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 831.9383, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7898, recall: 0.9929, relative_absolute_error: 0.012, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.1324, scimark_benchmark: 935.5075, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 729.1565, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7898, recall: 0.9917, relative_absolute_error: 0.2031, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1182, root_relative_squared_error: 0.2851, scimark_benchmark: 1278.6629, usercpu_time_millis: 350, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 838.0232, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7898, recall: 0.9988, relative_absolute_error: 0.0029, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0269, root_relative_squared_error: 0.0649, scimark_benchmark: 1347.993, usercpu_time_millis: 80, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 831.9383, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7898, recall: 0.9929, relative_absolute_error: 0.012, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.1324, scimark_benchmark: 938.0414, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2064, kb_relative_information_score: 111.2028, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.1421, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5582, root_relative_squared_error: 1.3464, scimark_benchmark: 1334.8032, usercpu_time_millis: 1340, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 729.1565, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7898, recall: 0.9917, relative_absolute_error: 0.2031, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1182, root_relative_squared_error: 0.2851, scimark_benchmark: 1327.6367, usercpu_time_millis: 300, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.95, kappa: 0.9273, kb_relative_information_score: 776.5825, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9501, predictive_accuracy: 0.9501, prior_entropy: 1.7898, recall: 0.9501, relative_absolute_error: 0.0861, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.138, root_relative_squared_error: 0.3328, scimark_benchmark: 1404.0159, usercpu_time_millis: 11530, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 11410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 838.0232, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7898, recall: 0.9988, relative_absolute_error: 0.0029, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0269, root_relative_squared_error: 0.0649, scimark_benchmark: 1326.3935, usercpu_time_millis: 70, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2064, kb_relative_information_score: 111.2028, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.1421, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5582, root_relative_squared_error: 1.3464, scimark_benchmark: 1370.3901, usercpu_time_millis: 2400, usercpu_time_millis_testing: 1460, usercpu_time_millis_training: 940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2064, kb_relative_information_score: 111.2028, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.1421, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5582, root_relative_squared_error: 1.3464, scimark_benchmark: 1360.6367, usercpu_time_millis: 1670, usercpu_time_millis_testing: 820, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 729.1565, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7898, recall: 0.9917, relative_absolute_error: 0.2031, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1182, root_relative_squared_error: 0.2851, scimark_benchmark: 1303.3869, usercpu_time_millis: 290, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.95, kappa: 0.9273, kb_relative_information_score: 776.5825, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9501, predictive_accuracy: 0.9501, prior_entropy: 1.7898, recall: 0.9501, relative_absolute_error: 0.0861, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.138, root_relative_squared_error: 0.3328, scimark_benchmark: 1352.9931, usercpu_time_millis: 10390, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 10280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 838.0232, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7898, recall: 0.9988, relative_absolute_error: 0.0029, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0269, root_relative_squared_error: 0.0649, scimark_benchmark: 1314.1215, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 838.0232, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7898, recall: 0.9988, relative_absolute_error: 0.0029, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0269, root_relative_squared_error: 0.0649, scimark_benchmark: 1367.3264, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 831.9383, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7898, recall: 0.9929, relative_absolute_error: 0.012, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.1324, scimark_benchmark: 1345.0202, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2064, kb_relative_information_score: 111.2028, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.1421, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5582, root_relative_squared_error: 1.3464, scimark_benchmark: 1325.6322, usercpu_time_millis: 2900, usercpu_time_millis_testing: 2050, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2064, kb_relative_information_score: 111.2028, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.1421, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5582, root_relative_squared_error: 1.3464, scimark_benchmark: 1335.2021, usercpu_time_millis: 3220, usercpu_time_millis_testing: 2400, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 831.9724, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0423, root_relative_squared_error: 0.1019, scimark_benchmark: 1325.1654, usercpu_time_millis: 1480, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1470,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9545, kappa: 0.9342, kb_relative_information_score: 777.8435, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9554, predictive_accuracy: 0.9548, prior_entropy: 1.7898, recall: 0.9548, relative_absolute_error: 0.0753, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.3627, scimark_benchmark: 1299.6719, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 729.1565, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7898, recall: 0.9917, relative_absolute_error: 0.2031, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1182, root_relative_squared_error: 0.2851, scimark_benchmark: 949.7766, usercpu_time_millis: 360, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.95, kappa: 0.9273, kb_relative_information_score: 776.5825, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9501, predictive_accuracy: 0.9501, prior_entropy: 1.7898, recall: 0.9501, relative_absolute_error: 0.0861, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.138, root_relative_squared_error: 0.3328, scimark_benchmark: 928.8135, usercpu_time_millis: 8780, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 8740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 838.0232, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7898, recall: 0.9988, relative_absolute_error: 0.0029, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0269, root_relative_squared_error: 0.0649, scimark_benchmark: 952.4682, usercpu_time_millis: 120, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9477, kappa: 0.9238, kb_relative_information_score: 747.7718, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9477, predictive_accuracy: 0.9477, prior_entropy: 1.7898, recall: 0.9477, relative_absolute_error: 0.1456, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1392, root_relative_squared_error: 0.3357, scimark_benchmark: 935.627, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 838.0232, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7898, recall: 0.9988, relative_absolute_error: 0.0029, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0269, root_relative_squared_error: 0.0649, scimark_benchmark: 935.627, usercpu_time_millis: 120, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 838.0232, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7898, recall: 0.9988, relative_absolute_error: 0.0029, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0269, root_relative_squared_error: 0.0649, scimark_benchmark: 945.0194, usercpu_time_millis: 110, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 838.0232, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7898, recall: 0.9988, relative_absolute_error: 0.0029, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0269, root_relative_squared_error: 0.0649, scimark_benchmark: 922.5036, usercpu_time_millis: 110, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 831.9383, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7898, recall: 0.9929, relative_absolute_error: 0.012, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.1324, scimark_benchmark: 938.838, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2064, kb_relative_information_score: 111.2028, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.1421, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5582, root_relative_squared_error: 1.3464, scimark_benchmark: 946.8777, usercpu_time_millis: 2480, usercpu_time_millis_testing: 1160, usercpu_time_millis_training: 1320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9393, kappa: 0.9117, kb_relative_information_score: 757.5497, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9393, predictive_accuracy: 0.9394, prior_entropy: 1.7898, recall: 0.9394, relative_absolute_error: 0.1196, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.3602, scimark_benchmark: 934.929, usercpu_time_millis: 970, usercpu_time_millis_training: 970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.8726, kappa: 0.8147, kb_relative_information_score: 685.7492, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8738, predictive_accuracy: 0.8728, prior_entropy: 1.7898, recall: 0.8728, relative_absolute_error: 0.2036, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.5716, scimark_benchmark: 934.929, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.774, kappa: 0.7053, kb_relative_information_score: 361.1709, mean_absolute_error: 0.2444, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.7561, predictive_accuracy: 0.8002, prior_entropy: 1.7898, recall: 0.8002, relative_absolute_error: 0.7108, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.7925, scimark_benchmark: 933.0918, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9703, kappa: 0.9567, kb_relative_information_score: 726.4322, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9704, predictive_accuracy: 0.9703, prior_entropy: 1.7898, recall: 0.9703, relative_absolute_error: 0.1905, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1322, root_relative_squared_error: 0.3188, scimark_benchmark: 905.2109, usercpu_time_millis: 5240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9725, kappa: 0.9601, kb_relative_information_score: 775.6481, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.973, predictive_accuracy: 0.9727, prior_entropy: 1.7898, recall: 0.9727, relative_absolute_error: 0.1026, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.116, root_relative_squared_error: 0.2797, scimark_benchmark: 894.7131, usercpu_time_millis: 430, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2064, kb_relative_information_score: 111.2028, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.1421, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5582, root_relative_squared_error: 1.3464, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7056, f_measure: 0.4482, kappa: 0.3346, kb_relative_information_score: 190.1292, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.5053, predictive_accuracy: 0.5434, prior_entropy: 1.7898, recall: 0.5434, relative_absolute_error: 0.845, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.8912, scimark_benchmark: 935.6052, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.4129, kappa: 0.3338, kb_relative_information_score: 201.0921, mean_absolute_error: 0.2838, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.3335, predictive_accuracy: 0.5541, prior_entropy: 1.7898, recall: 0.5541, relative_absolute_error: 0.8254, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.8945, scimark_benchmark: 935.6052, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7173, f_measure: 0.5198, kappa: 0.3339, kb_relative_information_score: 169.8978, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.5017, predictive_accuracy: 0.5493, prior_entropy: 1.7898, recall: 0.5493, relative_absolute_error: 0.8723, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.908, scimark_benchmark: 940.0055, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7006, f_measure: 0.4166, kappa: 0.3393, kb_relative_information_score: 86.254, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.3378, predictive_accuracy: 0.5589, prior_entropy: 1.7898, recall: 0.5589, relative_absolute_error: 1.0042, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.9701, scimark_benchmark: 935.6052, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7006, f_measure: 0.4166, kappa: 0.3393, kb_relative_information_score: 86.254, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.3378, predictive_accuracy: 0.5589, prior_entropy: 1.7898, recall: 0.5589, relative_absolute_error: 1.0042, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.9701, scimark_benchmark: 936.1714, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, f_measure: 0.2064, kb_relative_information_score: 0.4529, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.1421, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9857, kappa: 0.9793, kb_relative_information_score: 754.1908, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9858, predictive_accuracy: 0.9857, prior_entropy: 1.7898, recall: 0.9857, relative_absolute_error: 0.1544, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1126, root_relative_squared_error: 0.2717, scimark_benchmark: 936.1714, usercpu_time_millis: 1870, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 1530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9869, kappa: 0.981, kb_relative_information_score: 754.9806, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.987, predictive_accuracy: 0.9869, prior_entropy: 1.7898, recall: 0.9869, relative_absolute_error: 0.1555, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.2519, scimark_benchmark: 939.5607, usercpu_time_millis: 3680, usercpu_time_millis_testing: 990, usercpu_time_millis_training: 2690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9869, kappa: 0.981, kb_relative_information_score: 754.9806, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.987, predictive_accuracy: 0.9869, prior_entropy: 1.7898, recall: 0.9869, relative_absolute_error: 0.1555, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.2519, scimark_benchmark: 924.2305, usercpu_time_millis: 3560, usercpu_time_millis_testing: 800, usercpu_time_millis_training: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 759.4686, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7898, recall: 0.9917, relative_absolute_error: 0.1496, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0977, root_relative_squared_error: 0.2357, scimark_benchmark: 921.2615, usercpu_time_millis: 8260, usercpu_time_millis_testing: 2950, usercpu_time_millis_training: 5310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9941, kappa: 0.9913, kb_relative_information_score: 761.0586, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.2251, scimark_benchmark: 944.0133, usercpu_time_millis: 17850, usercpu_time_millis_testing: 6620, usercpu_time_millis_training: 11230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 760.2385, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0931, root_relative_squared_error: 0.2246, scimark_benchmark: 851.2074, usercpu_time_millis: 40000, usercpu_time_millis_testing: 18900, usercpu_time_millis_training: 21100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 729.1565, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7898, recall: 0.9917, relative_absolute_error: 0.2031, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1182, root_relative_squared_error: 0.2851, scimark_benchmark: 1051.249, usercpu_time_millis: 700, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 838.0232, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7898, recall: 0.9988, relative_absolute_error: 0.0029, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0269, root_relative_squared_error: 0.0649, scimark_benchmark: 932.438, usercpu_time_millis: 110, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9477, kappa: 0.9238, kb_relative_information_score: 747.7718, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9477, predictive_accuracy: 0.9477, prior_entropy: 1.7898, recall: 0.9477, relative_absolute_error: 0.1456, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1392, root_relative_squared_error: 0.3357, scimark_benchmark: 933.3455, usercpu_time_millis: 250, usercpu_time_millis_training: 250,

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