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Supervised Classification on meta_stream_intervals.arff

Supervised Classification on meta_stream_intervals.arff

Task 2276 Supervised Classification meta_stream_intervals.arff 138 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9857, kappa: 0.9795, kb_relative_information_score: 0.9648, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.1072, weighted_recall: 0.9857, number_of_instances: 45164, precision: 0.9858, predictive_accuracy: 0.9857, prior_entropy: 2.3316, relative_absolute_error: 0.0624, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0423, root_relative_squared_error: 0.1827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9906, kb_relative_information_score: 0.986, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.1072, weighted_recall: 0.9934, number_of_instances: 45164, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 2.3316, relative_absolute_error: 0.0246, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.029, root_relative_squared_error: 0.1251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, kappa: 0.6051, kb_relative_information_score: 0.6444, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.1072, weighted_recall: 0.7319, number_of_instances: 45164, predictive_accuracy: 0.7319, prior_entropy: 2.3316, relative_absolute_error: 0.4894, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.7145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9906, kappa: 0.9865, kb_relative_information_score: 0.9826, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.1072, weighted_recall: 0.9906, number_of_instances: 45164, precision: 0.9906, predictive_accuracy: 0.9906, prior_entropy: 2.3316, relative_absolute_error: 0.0297, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0346, root_relative_squared_error: 0.1497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9906, kappa: 0.9865, kb_relative_information_score: 0.9842, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.1072, weighted_recall: 0.9906, number_of_instances: 45164, precision: 0.9906, predictive_accuracy: 0.9906, prior_entropy: 2.3316, relative_absolute_error: 0.0134, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.038, root_relative_squared_error: 0.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9919, kappa: 0.9883, kb_relative_information_score: 44573.1913, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 2.3329, recall: 0.9919, relative_absolute_error: 0.012, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0344, root_relative_squared_error: 0.1488,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3442, kb_relative_information_score: 8304.8612, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.2598, predictive_accuracy: 0.5097, prior_entropy: 2.3329, recall: 0.5097, relative_absolute_error: 0.7039, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.2746, root_relative_squared_error: 1.1865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9939, kappa: 0.9912, kb_relative_information_score: 44682.5152, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.9939, predictive_accuracy: 0.9939, prior_entropy: 2.3329, recall: 0.9939, relative_absolute_error: 0.0088, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0307, root_relative_squared_error: 0.1327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9894, kappa: 0.9848, kb_relative_information_score: 44350.2806, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.9894, predictive_accuracy: 0.9894, prior_entropy: 2.3329, recall: 0.9894, relative_absolute_error: 0.0188, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0383, root_relative_squared_error: 0.1653, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.8366, kappa: 0.7651, kb_relative_information_score: 31255.5053, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.8374, predictive_accuracy: 0.8409, prior_entropy: 2.3329, recall: 0.8409, relative_absolute_error: 0.4407, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.142, root_relative_squared_error: 0.6134, scimark_benchmark: 851.2074, usercpu_time_millis: 516920, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 516810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.965, kappa: 0.9502, kb_relative_information_score: 42576.4797, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.9651, predictive_accuracy: 0.9655, prior_entropy: 2.3329, recall: 0.9655, relative_absolute_error: 0.0495, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0729, root_relative_squared_error: 0.3147, scimark_benchmark: 941.3142, usercpu_time_millis: 389430, usercpu_time_millis_testing: 231360, usercpu_time_millis_training: 158070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9894, kappa: 0.9848, kb_relative_information_score: 44350.2806, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.9894, predictive_accuracy: 0.9894, prior_entropy: 2.3329, recall: 0.9894, relative_absolute_error: 0.0188, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0383, root_relative_squared_error: 0.1653, scimark_benchmark: 819.5729, usercpu_time_millis: 16600, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 16280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.8366, kappa: 0.7651, kb_relative_information_score: 31255.5053, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.8374, predictive_accuracy: 0.8409, prior_entropy: 2.3329, recall: 0.8409, relative_absolute_error: 0.4407, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.142, root_relative_squared_error: 0.6134, scimark_benchmark: 944.0133, usercpu_time_millis: 479480, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 479360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9946, kappa: 0.9922, kb_relative_information_score: 44665.1792, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.9946, predictive_accuracy: 0.9946, prior_entropy: 2.3329, recall: 0.9946, relative_absolute_error: 0.0177, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0254, root_relative_squared_error: 0.1097, scimark_benchmark: 943.2803, usercpu_time_millis: 7098570, usercpu_time_millis_testing: 743180, usercpu_time_millis_training: 6355390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9946, kappa: 0.9922, kb_relative_information_score: 44664.5568, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.9946, predictive_accuracy: 0.9946, prior_entropy: 2.3329, recall: 0.9946, relative_absolute_error: 0.0176, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0255, root_relative_squared_error: 0.1102, scimark_benchmark: 859.5223, usercpu_time_millis: 3628660, usercpu_time_millis_testing: 379210, usercpu_time_millis_training: 3249450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9947, kappa: 0.9923, kb_relative_information_score: 44658.7212, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 2.3329, recall: 0.9947, relative_absolute_error: 0.0177, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0258, root_relative_squared_error: 0.1117, scimark_benchmark: 899.0468, usercpu_time_millis: 1914580, usercpu_time_millis_testing: 193810, usercpu_time_millis_training: 1720770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9944, kappa: 0.9919, kb_relative_information_score: 44665.1759, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 2.3329, recall: 0.9944, relative_absolute_error: 0.0173, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0261, root_relative_squared_error: 0.1126, scimark_benchmark: 918.0831, usercpu_time_millis: 933810, usercpu_time_millis_testing: 76930, usercpu_time_millis_training: 856880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9939, kappa: 0.9913, kb_relative_information_score: 44646.1804, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.9939, predictive_accuracy: 0.9939, prior_entropy: 2.3329, recall: 0.9939, relative_absolute_error: 0.0173, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0272, root_relative_squared_error: 0.1175, scimark_benchmark: 894.7131, usercpu_time_millis: 480140, usercpu_time_millis_testing: 21360, usercpu_time_millis_training: 458780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9481, kappa: 0.9258, kb_relative_information_score: 40480.5115, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.948, predictive_accuracy: 0.9486, prior_entropy: 2.3329, recall: 0.9486, relative_absolute_error: 0.1584, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.082, root_relative_squared_error: 0.3541, scimark_benchmark: 941.9549, usercpu_time_millis: 30760, usercpu_time_millis_testing: 970, usercpu_time_millis_training: 29790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.627, f_measure: 0.3442, kb_relative_information_score: 6705.855, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.2598, predictive_accuracy: 0.5097, prior_entropy: 2.3329, recall: 0.5097, relative_absolute_error: 0.9493, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9744, scimark_benchmark: 936.1714, usercpu_time_millis: 5130, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 5080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.627, f_measure: 0.3442, kb_relative_information_score: 6705.855, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.2598, predictive_accuracy: 0.5097, prior_entropy: 2.3329, recall: 0.5097, relative_absolute_error: 0.9493, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9744, scimark_benchmark: 936.1714, usercpu_time_millis: 5660, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 5600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.627, f_measure: 0.3442, kb_relative_information_score: 6705.855, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.2598, predictive_accuracy: 0.5097, prior_entropy: 2.3329, recall: 0.5097, relative_absolute_error: 0.9493, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9744, scimark_benchmark: 935.6052, usercpu_time_millis: 5890, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 5830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.627, f_measure: 0.3442, kb_relative_information_score: 6705.855, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.2598, predictive_accuracy: 0.5097, prior_entropy: 2.3329, recall: 0.5097, relative_absolute_error: 0.9493, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9744, scimark_benchmark: 938.3115, usercpu_time_millis: 5800, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 5750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.627, f_measure: 0.3442, kb_relative_information_score: 6705.855, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.2598, predictive_accuracy: 0.5097, prior_entropy: 2.3329, recall: 0.5097, relative_absolute_error: 0.9493, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9744, scimark_benchmark: 935.6052, usercpu_time_millis: 6170, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 6110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3442, kb_relative_information_score: 8304.8612, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.2598, predictive_accuracy: 0.5097, prior_entropy: 2.3329, recall: 0.5097, relative_absolute_error: 0.7039, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.2746, root_relative_squared_error: 1.1865, scimark_benchmark: 938.3115, usercpu_time_millis: 340, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9935, kappa: 0.9907, kb_relative_information_score: 44648.6667, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 2.3329, recall: 0.9935, relative_absolute_error: 0.0157, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0286, root_relative_squared_error: 0.1234, scimark_benchmark: 941.9549, usercpu_time_millis: 409550, usercpu_time_millis_testing: 8310, usercpu_time_millis_training: 401240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9911, kappa: 0.9872, kb_relative_information_score: 44570.5781, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.9911, predictive_accuracy: 0.9911, prior_entropy: 2.3329, recall: 0.9911, relative_absolute_error: 0.0146, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0328, root_relative_squared_error: 0.1416, scimark_benchmark: 906.0884, usercpu_time_millis: 17807420, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 17806990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6618, f_measure: 0.3442, kb_relative_information_score: 6768.3888, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.2598, predictive_accuracy: 0.5097, prior_entropy: 2.3329, recall: 0.5097, relative_absolute_error: 0.9479, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.9723, scimark_benchmark: 931.7994, usercpu_time_millis: 1170, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 1090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9894, kappa: 0.9848, kb_relative_information_score: 44350.2806, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.9894, predictive_accuracy: 0.9894, prior_entropy: 2.3329, recall: 0.9894, relative_absolute_error: 0.0188, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0383, root_relative_squared_error: 0.1653, scimark_benchmark: 923.509, usercpu_time_millis: 11730, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 11410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.8366, kappa: 0.7651, kb_relative_information_score: 31255.5053, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.8374, predictive_accuracy: 0.8409, prior_entropy: 2.3329, recall: 0.8409, relative_absolute_error: 0.4407, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.142, root_relative_squared_error: 0.6134, scimark_benchmark: 941.6062, usercpu_time_millis: 417490, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 417380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9894, kappa: 0.9848, kb_relative_information_score: 44350.2806, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.9894, predictive_accuracy: 0.9894, prior_entropy: 2.3329, recall: 0.9894, relative_absolute_error: 0.0188, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0383, root_relative_squared_error: 0.1653, scimark_benchmark: 915.9028, usercpu_time_millis: 8460, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 8120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9894, kappa: 0.9848, kb_relative_information_score: 44350.2806, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.9894, predictive_accuracy: 0.9894, prior_entropy: 2.3329, recall: 0.9894, relative_absolute_error: 0.0188, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0383, root_relative_squared_error: 0.1653, scimark_benchmark: 1322.5413, usercpu_time_millis: 7510, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 7220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9926, kappa: 0.9893, kb_relative_information_score: 44547.795, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.9926, predictive_accuracy: 0.9926, prior_entropy: 2.3329, recall: 0.9926, relative_absolute_error: 0.0205, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0296, root_relative_squared_error: 0.1279, scimark_benchmark: 1336.0954, usercpu_time_millis: 173800, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 173270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9894, kappa: 0.9848, kb_relative_information_score: 44350.2806, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.9894, predictive_accuracy: 0.9894, prior_entropy: 2.3329, recall: 0.9894, relative_absolute_error: 0.0188, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0383, root_relative_squared_error: 0.1653, scimark_benchmark: 1333.6736, usercpu_time_millis: 5730, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 5480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.8366, kappa: 0.7651, kb_relative_information_score: 31255.5053, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.8374, predictive_accuracy: 0.8409, prior_entropy: 2.3329, recall: 0.8409, relative_absolute_error: 0.4407, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.142, root_relative_squared_error: 0.6134, scimark_benchmark: 1345.7919, usercpu_time_millis: 564820, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 564720,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.627, f_measure: 0.3442, kb_relative_information_score: 6705.855, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.2598, predictive_accuracy: 0.5097, prior_entropy: 2.3329, recall: 0.5097, relative_absolute_error: 0.9493, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9744, scimark_benchmark: 1464.9318, usercpu_time_millis: 1350, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9856, kappa: 0.9794, kb_relative_information_score: 44104.4621, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.9856, predictive_accuracy: 0.9857, prior_entropy: 2.3329, recall: 0.9857, relative_absolute_error: 0.0206, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.047, root_relative_squared_error: 0.203, scimark_benchmark: 1321.7236, usercpu_time_millis: 420, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.8366, kappa: 0.7651, kb_relative_information_score: 31255.5053, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.8374, predictive_accuracy: 0.8409, prior_entropy: 2.3329, recall: 0.8409, relative_absolute_error: 0.4407, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.142, root_relative_squared_error: 0.6134, scimark_benchmark: 1307.8775, usercpu_time_millis: 265510, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 265400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9938, kappa: 0.9911, kb_relative_information_score: 44569.7312, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 2.3329, recall: 0.9938, relative_absolute_error: 0.0208, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0277, root_relative_squared_error: 0.1197, scimark_benchmark: 1332.4146, usercpu_time_millis: 328630, usercpu_time_millis_testing: 7880, usercpu_time_millis_training: 320750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9936, kappa: 0.9908, kb_relative_information_score: 44567.6448, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.9936, predictive_accuracy: 0.9936, prior_entropy: 2.3329, recall: 0.9936, relative_absolute_error: 0.0208, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0279, root_relative_squared_error: 0.1206, scimark_benchmark: 934.1747, usercpu_time_millis: 133980, usercpu_time_millis_testing: 1520, usercpu_time_millis_training: 132460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9672, kappa: 0.9529, kb_relative_information_score: 41593.1121, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.9672, predictive_accuracy: 0.9673, prior_entropy: 2.3329, recall: 0.9673, relative_absolute_error: 0.1328, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0675, root_relative_squared_error: 0.2917, scimark_benchmark: 918.0213, usercpu_time_millis: 338690, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 338570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9925, kappa: 0.9893, kb_relative_information_score: 44552.1664, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 2.3329, recall: 0.9925, relative_absolute_error: 0.0204, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0294, root_relative_squared_error: 0.1269, scimark_benchmark: 1344.3348, usercpu_time_millis: 410840, usercpu_time_millis_testing: 2240, usercpu_time_millis_training: 408600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9925, kappa: 0.9892, kb_relative_information_score: 44554.266, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 2.3329, recall: 0.9925, relative_absolute_error: 0.0202, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0297, root_relative_squared_error: 0.1281, scimark_benchmark: 1337.8431, usercpu_time_millis: 64410, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 64190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9923, kappa: 0.989, kb_relative_information_score: 44548.9144, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 2.3329, recall: 0.9923, relative_absolute_error: 0.02, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0301, root_relative_squared_error: 0.1302, scimark_benchmark: 1413.089, usercpu_time_millis: 32530, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 32390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.6795, kappa: 0.5784, kb_relative_information_score: 8760.131, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.8063, predictive_accuracy: 0.6578, prior_entropy: 2.3329, recall: 0.6578, relative_absolute_error: 1.1227, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.2338, root_relative_squared_error: 1.0101, scimark_benchmark: 1321.6263, usercpu_time_millis: 2990, usercpu_time_millis_testing: 2390, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3442, kb_relative_information_score: 0.8693, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.2598, predictive_accuracy: 0.5097, prior_entropy: 2.3329, recall: 0.5097, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.2315, root_relative_squared_error: 1, scimark_benchmark: 1339.4189, usercpu_time_millis: 180, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6685, f_measure: 0.565, kappa: 0.3491, kb_relative_information_score: -936.487, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.6529, predictive_accuracy: 0.6388, prior_entropy: 2.3329, recall: 0.6388, relative_absolute_error: 1.2557, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.2567, root_relative_squared_error: 1.1091, scimark_benchmark: 1321.6263, usercpu_time_millis: 370, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9922, kappa: 0.9889, kb_relative_information_score: 44458.6566, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.9922, predictive_accuracy: 0.9923, prior_entropy: 2.3329, recall: 0.9923, relative_absolute_error: 0.0221, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0313, root_relative_squared_error: 0.1352, scimark_benchmark: 940.0008, usercpu_time_millis: 3553290, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 3553170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6613, f_measure: 0.2384, kappa: 0.3022, kb_relative_information_score: 16453.2976, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.185, predictive_accuracy: 0.3745, prior_entropy: 2.3329, recall: 0.3745, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.3095, root_relative_squared_error: 1.3373, scimark_benchmark: 899.5042, usercpu_time_millis: 12800, usercpu_time_millis_testing: 2210, usercpu_time_millis_training: 10590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9932, kappa: 0.9903, kb_relative_information_score: 44558.1778, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.9932, predictive_accuracy: 0.9932, prior_entropy: 2.3329, recall: 0.9932, relative_absolute_error: 0.021, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0283, root_relative_squared_error: 0.1223, scimark_benchmark: 1299.5783, usercpu_time_millis: 36500, usercpu_time_millis_testing: 610, usercpu_time_millis_training: 35890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9779, kappa: 0.9684, kb_relative_information_score: 43120.1044, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.9779, predictive_accuracy: 0.978, prior_entropy: 2.3329, recall: 0.978, relative_absolute_error: 0.0747, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.2223, scimark_benchmark: 1369.9744, usercpu_time_millis: 602080, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 601970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9332, kappa: 0.9037, kb_relative_information_score: 38879.613, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.9344, predictive_accuracy: 0.934, prior_entropy: 2.3329, recall: 0.934, relative_absolute_error: 0.2221, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.092, root_relative_squared_error: 0.3975, scimark_benchmark: 1321.527, usercpu_time_millis: 140690, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 140580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9746, kappa: 0.9633, kb_relative_information_score: 43446.947, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.9754, predictive_accuracy: 0.9744, prior_entropy: 2.3329, recall: 0.9744, relative_absolute_error: 0.0524, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.057, root_relative_squared_error: 0.2461, scimark_benchmark: 1310.3951, usercpu_time_millis: 7390, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 7280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.627, f_measure: 0.3442, kb_relative_information_score: 6705.855, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.2598, predictive_accuracy: 0.5097, prior_entropy: 2.3329, recall: 0.5097, relative_absolute_error: 0.9493, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9744, scimark_benchmark: 1372.2145, usercpu_time_millis: 3910, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.627, f_measure: 0.3442, kb_relative_information_score: 6705.855, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.2598, predictive_accuracy: 0.5097, prior_entropy: 2.3329, recall: 0.5097, relative_absolute_error: 0.9493, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9744, scimark_benchmark: 932.0242, usercpu_time_millis: 5570, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 5510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.627, f_measure: 0.3442, kb_relative_information_score: 6705.855, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.2598, predictive_accuracy: 0.5097, prior_entropy: 2.3329, recall: 0.5097, relative_absolute_error: 0.9493, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9744, scimark_benchmark: 1304.9611, usercpu_time_millis: 4330, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 4280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.627, f_measure: 0.3442, kb_relative_information_score: 6705.855, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.2598, predictive_accuracy: 0.5097, prior_entropy: 2.3329, recall: 0.5097, relative_absolute_error: 0.9493, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9744, scimark_benchmark: 889.3151, usercpu_time_millis: 5100, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 5040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.627, f_measure: 0.3442, kb_relative_information_score: 6705.855, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.2598, predictive_accuracy: 0.5097, prior_entropy: 2.3329, recall: 0.5097, relative_absolute_error: 0.9493, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9744, scimark_benchmark: 1372.2145, usercpu_time_millis: 4140, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 4100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9715, kappa: 0.9593, kb_relative_information_score: 43343.635, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.9716, predictive_accuracy: 0.9717, prior_entropy: 2.3329, recall: 0.9717, relative_absolute_error: 0.0576, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0574, root_relative_squared_error: 0.2481, scimark_benchmark: 1324.8395, usercpu_time_millis: 323680, usercpu_time_millis_testing: 323670, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9699, kappa: 0.957, kb_relative_information_score: 43342.5467, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.9699, predictive_accuracy: 0.9701, prior_entropy: 2.3329, recall: 0.9701, relative_absolute_error: 0.0543, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0595, root_relative_squared_error: 0.2572, scimark_benchmark: 1304.9611, usercpu_time_millis: 298060, usercpu_time_millis_testing: 298040, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.8709, kappa: 0.8159, kb_relative_information_score: 2005.617, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.8746, predictive_accuracy: 0.8743, prior_entropy: 2.3329, recall: 0.8743, relative_absolute_error: 1.215, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.2483, root_relative_squared_error: 1.0729, scimark_benchmark: 876.0664, usercpu_time_millis: 5530470, usercpu_time_millis_testing: 1751330, usercpu_time_millis_training: 3779140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9408, kappa: 0.9163, kb_relative_information_score: 2211.0594, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.942, predictive_accuracy: 0.9421, prior_entropy: 2.3329, recall: 0.9421, relative_absolute_error: 1.2132, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.2479, root_relative_squared_error: 1.0709, scimark_benchmark: 1318.1432, usercpu_time_millis: 580490, usercpu_time_millis_testing: 790, usercpu_time_millis_training: 579700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9525, kappa: 0.9317, kb_relative_information_score: 41318.3669, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.9526, predictive_accuracy: 0.9525, prior_entropy: 2.3329, recall: 0.9525, relative_absolute_error: 0.1372, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0775, root_relative_squared_error: 0.3346, scimark_benchmark: 912.5006, usercpu_time_millis: 1802750, usercpu_time_millis_testing: 800, usercpu_time_millis_training: 1801950,

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