OpenML
Supervised Classification on pc2

Supervised Classification on pc2

Task 4624 Supervised Classification pc2 212 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4541, f_measure: 0.9938, kb_relative_information_score: 356.4613, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9918, predictive_accuracy: 0.9959, prior_entropy: 0.0399, recall: 0.9959, relative_absolute_error: 0.979, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.064, root_relative_squared_error: 1, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8159, f_measure: 0.9938, kappa: -0.0001, kb_relative_information_score: -988994.1265, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9918, predictive_accuracy: 0.9958, prior_entropy: 0.0399, recall: 0.9958, relative_absolute_error: 2.409, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.0742, root_relative_squared_error: 1.1593, scimark_benchmark: 972.587, usercpu_time_millis: 1320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.9939, kappa: 0.0979, kb_relative_information_score: -283587.9882, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9929, predictive_accuracy: 0.9952, prior_entropy: 0.0399, recall: 0.9952, relative_absolute_error: 1.1113, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.0672, root_relative_squared_error: 1.0504, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9938, kb_relative_information_score: 8614.0188, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9918, predictive_accuracy: 0.9959, prior_entropy: 0.0399, recall: 0.9959, relative_absolute_error: 0.4915, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.0642, root_relative_squared_error: 1.0021, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.9942, kappa: 0.0794, kb_relative_information_score: -185362.2703, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.994, predictive_accuracy: 0.9959, prior_entropy: 0.0399, recall: 0.9959, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.0636, root_relative_squared_error: 0.9936, scimark_benchmark: 904.6764, usercpu_time_millis: 594510, usercpu_time_millis_testing: 10870, usercpu_time_millis_training: 583640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9938, kb_relative_information_score: 8614.0188, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9918, predictive_accuracy: 0.9959, prior_entropy: 0.0399, recall: 0.9959, relative_absolute_error: 0.4915, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.0642, root_relative_squared_error: 1.0021, scimark_benchmark: 941.3142, usercpu_time_millis: 12160, usercpu_time_millis_testing: 4560, usercpu_time_millis_training: 7600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.9915, kappa: 0.1152, kb_relative_information_score: -345408.2237, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9928, predictive_accuracy: 0.9903, prior_entropy: 0.0399, recall: 0.9903, relative_absolute_error: 1.662, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.0866, root_relative_squared_error: 1.3522, scimark_benchmark: 941.6675, usercpu_time_millis: 210, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.9915, kappa: 0.1152, kb_relative_information_score: -345408.2237, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9928, predictive_accuracy: 0.9903, prior_entropy: 0.0399, recall: 0.9903, relative_absolute_error: 1.662, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.0866, root_relative_squared_error: 1.3522, scimark_benchmark: 938.191, usercpu_time_millis: 170, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.9938, kappa: -0, kb_relative_information_score: -127782.1898, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9918, predictive_accuracy: 0.9959, prior_entropy: 0.0399, recall: 0.9959, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.0636, root_relative_squared_error: 0.9935, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7102, f_measure: 0.9936, kappa: 0.0203, kb_relative_information_score: -229246.0844, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9921, predictive_accuracy: 0.9952, prior_entropy: 0.0399, recall: 0.9952, relative_absolute_error: 1.0992, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.0673, root_relative_squared_error: 1.0512, scimark_benchmark: 944.1067, usercpu_time_millis: 4120, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 4080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9938, kb_relative_information_score: 8614.0188, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9918, predictive_accuracy: 0.9959, prior_entropy: 0.0399, recall: 0.9959, relative_absolute_error: 0.4915, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.0642, root_relative_squared_error: 1.0021, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9938, kb_relative_information_score: 8614.0188, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9918, predictive_accuracy: 0.9959, prior_entropy: 0.0399, recall: 0.9959, relative_absolute_error: 0.4915, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.0642, root_relative_squared_error: 1.0021, scimark_benchmark: 936.3373, usercpu_time_millis: 13960, usercpu_time_millis_testing: 5570, usercpu_time_millis_training: 8390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.9915, kappa: 0.1152, kb_relative_information_score: -345408.2237, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9928, predictive_accuracy: 0.9903, prior_entropy: 0.0399, recall: 0.9903, relative_absolute_error: 1.662, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.0866, root_relative_squared_error: 1.3522, scimark_benchmark: 974.2014, usercpu_time_millis: 200, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.9938, kappa: -0.0002, kb_relative_information_score: -310772.0393, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9918, predictive_accuracy: 0.9958, prior_entropy: 0.0399, recall: 0.9958, relative_absolute_error: 0.9464, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.065, root_relative_squared_error: 1.0159, scimark_benchmark: 947.1781, usercpu_time_millis: 1520, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 1330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4541, f_measure: 0.9938, kb_relative_information_score: 356.4613, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9918, predictive_accuracy: 0.9959, prior_entropy: 0.0399, recall: 0.9959, relative_absolute_error: 0.979, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.064, root_relative_squared_error: 1, scimark_benchmark: 942.2392, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8159, f_measure: 0.9938, kappa: -0.0001, kb_relative_information_score: -988994.1265, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9918, predictive_accuracy: 0.9958, prior_entropy: 0.0399, recall: 0.9958, relative_absolute_error: 2.409, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.0742, root_relative_squared_error: 1.1593, scimark_benchmark: 901.6243, usercpu_time_millis: 980, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.9939, kappa: 0.0979, kb_relative_information_score: -283587.9882, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9929, predictive_accuracy: 0.9952, prior_entropy: 0.0399, recall: 0.9952, relative_absolute_error: 1.1113, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.0672, root_relative_squared_error: 1.0504, scimark_benchmark: 938.1282, usercpu_time_millis: 3540, usercpu_time_millis_training: 3540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9938, kb_relative_information_score: 8614.0188, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9918, predictive_accuracy: 0.9959, prior_entropy: 0.0399, recall: 0.9959, relative_absolute_error: 0.4915, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.0642, root_relative_squared_error: 1.0021, scimark_benchmark: 930.404, usercpu_time_millis: 14450, usercpu_time_millis_testing: 6030, usercpu_time_millis_training: 8420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.9942, kappa: 0.0794, kb_relative_information_score: -185361.6528, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.994, predictive_accuracy: 0.9959, prior_entropy: 0.0399, recall: 0.9959, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.0636, root_relative_squared_error: 0.9936, scimark_benchmark: 919.9068, usercpu_time_millis: 201870, usercpu_time_millis_testing: 7410, usercpu_time_millis_training: 194460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9938, kb_relative_information_score: 8614.0188, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9918, predictive_accuracy: 0.9959, prior_entropy: 0.0399, recall: 0.9959, relative_absolute_error: 0.4915, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.0642, root_relative_squared_error: 1.0021, scimark_benchmark: 906.0979, usercpu_time_millis: 13690, usercpu_time_millis_testing: 4400, usercpu_time_millis_training: 9290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.9446, kappa: 0.0417, kb_relative_information_score: -1090816.0976, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9943, predictive_accuracy: 0.902, prior_entropy: 0.0399, recall: 0.902, relative_absolute_error: 11.6969, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.309, root_relative_squared_error: 4.8275, scimark_benchmark: 938.1282, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.9915, kappa: 0.1152, kb_relative_information_score: -345408.2237, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9928, predictive_accuracy: 0.9903, prior_entropy: 0.0399, recall: 0.9903, relative_absolute_error: 1.662, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.0866, root_relative_squared_error: 1.3522, scimark_benchmark: 930.404, usercpu_time_millis: 200, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.9915, kappa: 0.1152, kb_relative_information_score: -345408.2237, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9928, predictive_accuracy: 0.9903, prior_entropy: 0.0399, recall: 0.9903, relative_absolute_error: 1.662, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.0866, root_relative_squared_error: 1.3522, scimark_benchmark: 903.2737, usercpu_time_millis: 210, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.9938, kappa: -0, kb_relative_information_score: -127782.1898, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9918, predictive_accuracy: 0.9959, prior_entropy: 0.0399, recall: 0.9959, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.0636, root_relative_squared_error: 0.9935, scimark_benchmark: 933.3455, usercpu_time_millis: 660, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.9915, kappa: 0.1152, kb_relative_information_score: -345408.2237, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9928, predictive_accuracy: 0.9903, prior_entropy: 0.0399, recall: 0.9903, relative_absolute_error: 1.662, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.0866, root_relative_squared_error: 1.3522, scimark_benchmark: 936.9595, usercpu_time_millis: 200, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.9938, kappa: -0.0002, kb_relative_information_score: -310772.0393, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9918, predictive_accuracy: 0.9958, prior_entropy: 0.0399, recall: 0.9958, relative_absolute_error: 0.9464, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.065, root_relative_squared_error: 1.0159, scimark_benchmark: 941.4991, usercpu_time_millis: 1380, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 1260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7384, f_measure: 0.9938, kb_relative_information_score: -78602.5634, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9918, predictive_accuracy: 0.9959, prior_entropy: 0.0399, recall: 0.9959, relative_absolute_error: 0.9731, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.0639, root_relative_squared_error: 0.9974, scimark_benchmark: 819.5729, usercpu_time_millis: 141480, usercpu_time_millis_testing: 62320, usercpu_time_millis_training: 79160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7306, f_measure: 0.9938, kb_relative_information_score: -72442.7937, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9918, predictive_accuracy: 0.9959, prior_entropy: 0.0399, recall: 0.9959, relative_absolute_error: 0.9733, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.0639, root_relative_squared_error: 0.9983, scimark_benchmark: 1171.0303, usercpu_time_millis: 59730, usercpu_time_millis_testing: 31150, usercpu_time_millis_training: 28580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7128, f_measure: 0.9938, kb_relative_information_score: -66411.5988, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9918, predictive_accuracy: 0.9959, prior_entropy: 0.0399, recall: 0.9959, relative_absolute_error: 0.9749, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.0639, root_relative_squared_error: 0.998, scimark_benchmark: 932.438, usercpu_time_millis: 21130, usercpu_time_millis_testing: 8120, usercpu_time_millis_training: 13010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6546, f_measure: 0.9938, kb_relative_information_score: -55040.7407, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9918, predictive_accuracy: 0.9959, prior_entropy: 0.0399, recall: 0.9959, relative_absolute_error: 0.9729, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.064, root_relative_squared_error: 1.0004, scimark_benchmark: 917.2109, usercpu_time_millis: 8750, usercpu_time_millis_testing: 1960, usercpu_time_millis_training: 6790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5893, f_measure: 0.9938, kappa: -0, kb_relative_information_score: -47289.9592, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9918, predictive_accuracy: 0.9959, prior_entropy: 0.0399, recall: 0.9959, relative_absolute_error: 0.9717, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.0643, root_relative_squared_error: 1.005, scimark_benchmark: 935.3212, usercpu_time_millis: 4540, usercpu_time_millis_testing: 940, usercpu_time_millis_training: 3600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.9938, kb_relative_information_score: -419958.6312, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9918, predictive_accuracy: 0.9959, prior_entropy: 0.0399, recall: 0.9959, relative_absolute_error: 1.069, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.0641, root_relative_squared_error: 1.0018, scimark_benchmark: 889.4922, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.9938, kb_relative_information_score: -419958.6312, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9918, predictive_accuracy: 0.9959, prior_entropy: 0.0399, recall: 0.9959, relative_absolute_error: 1.069, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.0641, root_relative_squared_error: 1.0018, scimark_benchmark: 938.3115, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.9938, kb_relative_information_score: -419958.6312, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9918, predictive_accuracy: 0.9959, prior_entropy: 0.0399, recall: 0.9959, relative_absolute_error: 1.069, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.0641, root_relative_squared_error: 1.0018, scimark_benchmark: 936.7184, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.9938, kb_relative_information_score: -419958.6312, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9918, predictive_accuracy: 0.9959, prior_entropy: 0.0399, recall: 0.9959, relative_absolute_error: 1.069, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.0641, root_relative_squared_error: 1.0018, scimark_benchmark: 941.9549, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, f_measure: 0.9938, kappa: 0.0507, kb_relative_information_score: -1181671.3721, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9926, predictive_accuracy: 0.9954, prior_entropy: 0.0399, recall: 0.9954, relative_absolute_error: 1.9586, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.0685, root_relative_squared_error: 1.0697, scimark_benchmark: 941.9549, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.9446, kappa: 0.0417, kb_relative_information_score: -1090816.0976, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9943, predictive_accuracy: 0.902, prior_entropy: 0.0399, recall: 0.902, relative_absolute_error: 11.6969, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.309, root_relative_squared_error: 4.8275, scimark_benchmark: 1331.2559, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.9942, kappa: 0.0794, kb_relative_information_score: -185361.6528, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.994, predictive_accuracy: 0.9959, prior_entropy: 0.0399, recall: 0.9959, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.0636, root_relative_squared_error: 0.9936, scimark_benchmark: 1332.9478, usercpu_time_millis: 296350, usercpu_time_millis_testing: 8250, usercpu_time_millis_training: 288100,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4541, f_measure: 0.9938, kb_relative_information_score: 356.4613, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9918, predictive_accuracy: 0.9959, prior_entropy: 0.0399, recall: 0.9959, relative_absolute_error: 0.979, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.064, root_relative_squared_error: 1, scimark_benchmark: 1296.8947, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.9446, kappa: 0.0417, kb_relative_information_score: -1090816.0976, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9943, predictive_accuracy: 0.902, prior_entropy: 0.0399, recall: 0.902, relative_absolute_error: 11.6969, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.309, root_relative_squared_error: 4.8275, scimark_benchmark: 1350.2591, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8159, f_measure: 0.9938, kappa: -0.0001, kb_relative_information_score: -988994.1265, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9918, predictive_accuracy: 0.9958, prior_entropy: 0.0399, recall: 0.9958, relative_absolute_error: 2.409, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.0742, root_relative_squared_error: 1.1593, scimark_benchmark: 1349.9643, usercpu_time_millis: 720, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.9915, kappa: 0.1152, kb_relative_information_score: -345408.2237, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9928, predictive_accuracy: 0.9903, prior_entropy: 0.0399, recall: 0.9903, relative_absolute_error: 1.662, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.0866, root_relative_squared_error: 1.3522, scimark_benchmark: 1324.7884, usercpu_time_millis: 140, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.9938, kappa: -0, kb_relative_information_score: -127782.1898, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9918, predictive_accuracy: 0.9959, prior_entropy: 0.0399, recall: 0.9959, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.0636, root_relative_squared_error: 0.9935, scimark_benchmark: 1316.5668, usercpu_time_millis: 480, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.9915, kappa: 0.1152, kb_relative_information_score: -345408.2237, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9928, predictive_accuracy: 0.9903, prior_entropy: 0.0399, recall: 0.9903, relative_absolute_error: 1.662, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.0866, root_relative_squared_error: 1.3522, scimark_benchmark: 1316.6799, usercpu_time_millis: 110, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.9446, kappa: 0.0417, kb_relative_information_score: -1090816.0976, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9943, predictive_accuracy: 0.902, prior_entropy: 0.0399, recall: 0.902, relative_absolute_error: 11.6969, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.309, root_relative_squared_error: 4.8275, scimark_benchmark: 1333.0982, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.9915, kappa: 0.1152, kb_relative_information_score: -345408.2237, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9928, predictive_accuracy: 0.9903, prior_entropy: 0.0399, recall: 0.9903, relative_absolute_error: 1.662, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.0866, root_relative_squared_error: 1.3522, scimark_benchmark: 1326.2019, usercpu_time_millis: 120, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.9915, kappa: 0.1152, kb_relative_information_score: -345408.2237, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9928, predictive_accuracy: 0.9903, prior_entropy: 0.0399, recall: 0.9903, relative_absolute_error: 1.662, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.0866, root_relative_squared_error: 1.3522, scimark_benchmark: 1309.2287, usercpu_time_millis: 120, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7102, f_measure: 0.9936, kappa: 0.0203, kb_relative_information_score: -229246.0844, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9921, predictive_accuracy: 0.9952, prior_entropy: 0.0399, recall: 0.9952, relative_absolute_error: 1.0992, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.0673, root_relative_squared_error: 1.0512, scimark_benchmark: 1310.6554, usercpu_time_millis: 5230, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 5120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.9938, kappa: -0.0002, kb_relative_information_score: -310772.0393, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9918, predictive_accuracy: 0.9958, prior_entropy: 0.0399, recall: 0.9958, relative_absolute_error: 0.9464, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.065, root_relative_squared_error: 1.0159, scimark_benchmark: 1306.9281, usercpu_time_millis: 980, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4541, f_measure: 0.9938, kb_relative_information_score: 356.4613, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.9918, predictive_accuracy: 0.9959, prior_entropy: 0.0399, recall: 0.9959, relative_absolute_error: 0.979, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.064, root_relative_squared_error: 1, scimark_benchmark: 1309.4708, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7015, f_measure: 0.9937, kappa: 0.0072, kb_relative_information_score: -276253.7688, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.0084, number_of_instances: 55890, precision: 0.992, predictive_accuracy: 0.9955, prior_entropy: 0.0399, recall: 0.9955, relative_absolute_error: 0.8807, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.0658, root_relative_squared_error: 1.0274, scimark_benchmark: 1319.5773, usercpu_time_millis: 650, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 640,

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