Task
Supervised Classification on mushroom

Supervised Classification on mushroom

Task 1904 Supervised Classification mushroom 209 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.2915, build_memory: 1099850771.2773, f_measure: 0.9991, kappa: 0.9982, kb_relative_information_score: 78863.4751, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.9991, recall: 0.9991, relative_absolute_error: 0.0377, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1002, scimark_benchmark: 941.9633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.2291, build_memory: 287699967.0852, f_measure: 0.9991, kappa: 0.9982, kb_relative_information_score: 78863.4751, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.9991, recall: 0.9991, relative_absolute_error: 0.0377, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1002, scimark_benchmark: 944.5683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.3189, build_memory: 302609332.9736, f_measure: 0.9991, kappa: 0.9982, kb_relative_information_score: 78863.4751, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.9991, recall: 0.9991, relative_absolute_error: 0.0377, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1002, scimark_benchmark: 941.7327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.204, build_memory: 627028189.3872, f_measure: 0.9991, kappa: 0.9981, kb_relative_information_score: 78859.869, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.9991, recall: 0.9991, relative_absolute_error: 0.0378, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0502, root_relative_squared_error: 0.1005, scimark_benchmark: 945.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.3351, build_memory: 772382573.387, f_measure: 0.9991, kappa: 0.9981, kb_relative_information_score: 78859.869, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.9991, recall: 0.9991, relative_absolute_error: 0.0378, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0502, root_relative_squared_error: 0.1005, scimark_benchmark: 942.0655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.3085, build_memory: 1102997656.3584, f_measure: 0.9991, kappa: 0.9982, kb_relative_information_score: 78863.4751, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.9991, recall: 0.9991, relative_absolute_error: 0.0377, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1002, scimark_benchmark: 941.9633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.4305, build_memory: 1897290242.7001, f_measure: 1, kappa: 1, kb_relative_information_score: 81239.409, mean_absolute_error: 0, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0003, root_relative_squared_error: 0.0007, scimark_benchmark: 926.7187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.2269, build_memory: 1646243676.7933, f_measure: 1, kappa: 1, kb_relative_information_score: 81239.6885, mean_absolute_error: 0, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0003, root_relative_squared_error: 0.0006, scimark_benchmark: 900.0641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.8649, build_memory: 1160229537.4742, f_measure: 1, kappa: 1, kb_relative_information_score: 81238.9884, mean_absolute_error: 0, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0004, root_relative_squared_error: 0.0007, scimark_benchmark: 939.9293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 33.0606, build_memory: 503542844.9233, f_measure: 1, kappa: 1, kb_relative_information_score: 81203.3842, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0006, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0076, root_relative_squared_error: 0.0152, scimark_benchmark: 945.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 20.9664, build_memory: 2101430791.7314, f_measure: 1, kappa: 1, kb_relative_information_score: 81204.3563, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0005, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0076, root_relative_squared_error: 0.0151, scimark_benchmark: 768.8375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 1.6581, build_memory: 1354213060.9573, f_measure: 1, kappa: 1, kb_relative_information_score: 81238.5745, mean_absolute_error: 0, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0004, root_relative_squared_error: 0.0009, scimark_benchmark: 936.9545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9999, kappa: 0.9999, kb_relative_information_score: 81138.6632, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9991, recall: 0.9999, relative_absolute_error: 0.0016, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0091, root_relative_squared_error: 0.0183, scimark_benchmark: 1340.9497, usercpu_time_millis: 13820, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 13790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.999, kappa: 0.998, kb_relative_information_score: 78594.9003, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9991, recall: 0.999, relative_absolute_error: 0.042, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0527, root_relative_squared_error: 0.1054, scimark_benchmark: 1320.9026, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81195.142, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0008, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0035, root_relative_squared_error: 0.0069, scimark_benchmark: 1281.7531, usercpu_time_millis: 400, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81195.142, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0008, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0035, root_relative_squared_error: 0.0069, scimark_benchmark: 1347.993, usercpu_time_millis: 500, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9901, kappa: 0.9803, kb_relative_information_score: 78531.2231, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9903, predictive_accuracy: 0.9902, prior_entropy: 0.9991, recall: 0.9902, relative_absolute_error: 0.0383, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.1958, scimark_benchmark: 1310.3951, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81239.9627, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, root_mean_prior_squared_error: 0.4997, scimark_benchmark: 1466.6185, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.999, kappa: 0.998, kb_relative_information_score: 80747.2181, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9991, recall: 0.999, relative_absolute_error: 0.0071, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0351, root_relative_squared_error: 0.0702, scimark_benchmark: 932.0242, usercpu_time_millis: 740, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9995, kb_relative_information_score: 81176.6401, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.9991, recall: 0.9998, relative_absolute_error: 0.0009, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0121, root_relative_squared_error: 0.0242, scimark_benchmark: 918.6005, usercpu_time_millis: 1600, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 1530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.997, kappa: 0.994, kb_relative_information_score: 79748.5583, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.9991, recall: 0.997, relative_absolute_error: 0.0212, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0599, root_relative_squared_error: 0.1198, scimark_benchmark: 1372.2145, usercpu_time_millis: 280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9999, kappa: 0.9999, kb_relative_information_score: 81229.944, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9991, recall: 0.9999, relative_absolute_error: 0.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0078, root_relative_squared_error: 0.0157, scimark_benchmark: 1280.6952, usercpu_time_millis: 260, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9995, kappa: 0.999, kb_relative_information_score: 81100.0507, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9991, recall: 0.9995, relative_absolute_error: 0.002, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0227, root_relative_squared_error: 0.0455, scimark_benchmark: 1361.1055, usercpu_time_millis: 2520, usercpu_time_millis_training: 2520,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.8163, kappa: 0.6323, kb_relative_information_score: 51328.2685, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.8166, predictive_accuracy: 0.8162, prior_entropy: 0.9991, recall: 0.8162, relative_absolute_error: 0.368, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.8579, scimark_benchmark: 1384.4418, usercpu_time_millis: 150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 130,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9994, kb_relative_information_score: 81194.0551, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.9991, recall: 0.9997, relative_absolute_error: 0.0006, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0134, root_relative_squared_error: 0.0269, scimark_benchmark: 1322.7383, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81233.8243, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0007, root_relative_squared_error: 0.0015, scimark_benchmark: 1371.9645, usercpu_time_millis: 1290, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 1210,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9852, kappa: 0.9704, kb_relative_information_score: 78835.4857, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9856, predictive_accuracy: 0.9852, prior_entropy: 0.9991, recall: 0.9852, relative_absolute_error: 0.0296, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1215, root_relative_squared_error: 0.2432, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9996, kb_relative_information_score: 81199.9455, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.9991, recall: 0.9998, relative_absolute_error: 0.0005, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0128, root_relative_squared_error: 0.0255, scimark_benchmark: 1368.9272, usercpu_time_millis: 1670, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9622, kappa: 0.9243, kb_relative_information_score: 75101.8245, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9639, predictive_accuracy: 0.9623, prior_entropy: 0.9991, recall: 0.9623, relative_absolute_error: 0.0757, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.3287, scimark_benchmark: 1315.933, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9622, kappa: 0.9243, kb_relative_information_score: 75101.8245, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9639, predictive_accuracy: 0.9623, prior_entropy: 0.9991, recall: 0.9623, relative_absolute_error: 0.0757, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.3287, scimark_benchmark: 1313.5052, 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: 0.9997, kappa: 0.9994, kb_relative_information_score: 81194.0551, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.9991, recall: 0.9997, relative_absolute_error: 0.0006, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0134, root_relative_squared_error: 0.0269, scimark_benchmark: 933.1165, usercpu_time_millis: 100, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9622, kappa: 0.9243, kb_relative_information_score: 75101.8245, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9639, predictive_accuracy: 0.9623, prior_entropy: 0.9991, recall: 0.9623, relative_absolute_error: 0.0757, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.3287, scimark_benchmark: 1346.2927, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.999, kb_relative_information_score: 80992.8259, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9991, recall: 0.9995, relative_absolute_error: 0.0038, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0181, root_relative_squared_error: 0.0363, scimark_benchmark: 1317.2327, usercpu_time_millis: 472560, usercpu_time_millis_testing: 57810, usercpu_time_millis_training: 414750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.999, kappa: 0.998, kb_relative_information_score: 78594.9003, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9991, recall: 0.999, relative_absolute_error: 0.042, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0527, root_relative_squared_error: 0.1054, scimark_benchmark: 1310.3168, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9987, kb_relative_information_score: 76530.6743, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.9991, recall: 0.9994, relative_absolute_error: 0.0767, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0569, root_relative_squared_error: 0.1139, scimark_benchmark: 1333.5799, usercpu_time_millis: 750, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81239.9627, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, root_mean_prior_squared_error: 0.4997, scimark_benchmark: 1413.089, usercpu_time_millis: 3820, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9683, kappa: 0.9365, kb_relative_information_score: 67585.0613, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9683, predictive_accuracy: 0.9683, prior_entropy: 0.9991, recall: 0.9683, relative_absolute_error: 0.1981, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.3576, scimark_benchmark: 1367.8403, usercpu_time_millis: 85230, usercpu_time_millis_testing: 85230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9575, kappa: 0.9149, kb_relative_information_score: 74408.8118, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9597, predictive_accuracy: 0.9576, prior_entropy: 0.9991, recall: 0.9576, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.352, scimark_benchmark: 889.3151, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9575, kappa: 0.9149, kb_relative_information_score: 74408.8118, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9597, predictive_accuracy: 0.9576, prior_entropy: 0.9991, recall: 0.9576, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.352, scimark_benchmark: 1330.7934, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9994, kb_relative_information_score: 81194.0551, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.9991, recall: 0.9997, relative_absolute_error: 0.0006, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0134, root_relative_squared_error: 0.0269, scimark_benchmark: 950.6776, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.8863, kappa: 0.7746, kb_relative_information_score: 52880.5586, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.8985, predictive_accuracy: 0.8868, prior_entropy: 0.9991, recall: 0.8868, relative_absolute_error: 0.383, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6189, scimark_benchmark: 1329.0992, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 80843.9842, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9991, recall: 0.9978, relative_absolute_error: 0.0051, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0464, root_relative_squared_error: 0.0929, scimark_benchmark: 1315.3709, usercpu_time_millis: 2430, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 2320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81228.9557, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0002, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0026, root_relative_squared_error: 0.0052, scimark_benchmark: 911.2316, usercpu_time_millis: 28040, usercpu_time_millis_testing: 6580, usercpu_time_millis_training: 21460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.999, kb_relative_information_score: 80992.8259, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9991, recall: 0.9995, relative_absolute_error: 0.0038, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0181, root_relative_squared_error: 0.0363, scimark_benchmark: 730.6551, usercpu_time_millis: 751380, usercpu_time_millis_testing: 56840, usercpu_time_millis_training: 694540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81178.9535, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0009, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0098, root_relative_squared_error: 0.0196, scimark_benchmark: 933.3455, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81223.1251, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0023, root_relative_squared_error: 0.0047, scimark_benchmark: 936.3213, usercpu_time_millis: 4260, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 4220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81229.6694, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0002, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0023, root_relative_squared_error: 0.0047, scimark_benchmark: 906.8974, usercpu_time_millis: 57710, usercpu_time_millis_testing: 15400, usercpu_time_millis_training: 42310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81229.6375, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0002, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0022, root_relative_squared_error: 0.0044, scimark_benchmark: 901.6243, usercpu_time_millis: 210230, usercpu_time_millis_testing: 71580, usercpu_time_millis_training: 138650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9622, kappa: 0.9243, kb_relative_information_score: 75101.8245, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9639, predictive_accuracy: 0.9623, prior_entropy: 0.9991, recall: 0.9623, relative_absolute_error: 0.0757, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.3287, scimark_benchmark: 1342.8584, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,

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