Task
Supervised Classification on car

Supervised Classification on car

Task 1785 Supervised Classification car 319 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.8827, kappa: 0.7488, kb_relative_information_score: 6297.1205, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8836, predictive_accuracy: 0.884, prior_entropy: 1.2099, recall: 0.884, relative_absolute_error: 0.2868, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.6107, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.8992, kappa: 0.7822, kb_relative_information_score: 5678.2935, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9032, predictive_accuracy: 0.8976, prior_entropy: 1.2099, recall: 0.8976, relative_absolute_error: 0.4255, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.5782, scimark_benchmark: 851.2074, usercpu_time_millis: 310, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.8565, kappa: 0.7349, kb_relative_information_score: 5349.1608, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8736, predictive_accuracy: 0.8781, prior_entropy: 1.2099, recall: 0.8781, relative_absolute_error: 0.2661, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2469, root_relative_squared_error: 0.7301, scimark_benchmark: 941.6675, usercpu_time_millis: 510, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.8976, kappa: 0.782, kb_relative_information_score: 5492.3648, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9018, predictive_accuracy: 0.9025, prior_entropy: 1.2099, recall: 0.9025, relative_absolute_error: 0.446, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.6084, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.8976, kappa: 0.782, kb_relative_information_score: 5492.3648, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9018, predictive_accuracy: 0.9025, prior_entropy: 1.2099, recall: 0.9025, relative_absolute_error: 0.446, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.6084, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8851, kappa: 0.7571, kb_relative_information_score: 6073.817, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8871, predictive_accuracy: 0.8878, prior_entropy: 1.2099, recall: 0.8878, relative_absolute_error: 0.3485, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.5742, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.8976, kappa: 0.782, kb_relative_information_score: 5492.3648, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9018, predictive_accuracy: 0.9025, prior_entropy: 1.2099, recall: 0.9025, relative_absolute_error: 0.446, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.6084, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9247, kappa: 0.8379, kb_relative_information_score: 6069.9717, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9251, predictive_accuracy: 0.9257, prior_entropy: 1.2099, recall: 0.9257, relative_absolute_error: 0.385, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.5262, scimark_benchmark: 931.771, usercpu_time_millis: 150, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.8565, kappa: 0.7349, kb_relative_information_score: 5349.1608, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8736, predictive_accuracy: 0.8781, prior_entropy: 1.2099, recall: 0.8781, relative_absolute_error: 0.2661, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2469, root_relative_squared_error: 0.7301, scimark_benchmark: 937.5117, usercpu_time_millis: 490, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.8411, kappa: 0.6552, kb_relative_information_score: 4989.7024, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8449, predictive_accuracy: 0.8499, prior_entropy: 1.2099, recall: 0.8499, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.6733, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.8976, kappa: 0.782, kb_relative_information_score: 5492.3648, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9018, predictive_accuracy: 0.9025, prior_entropy: 1.2099, recall: 0.9025, relative_absolute_error: 0.446, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.6084, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9052, kappa: 0.7952, kb_relative_information_score: 5917.5088, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9054, predictive_accuracy: 0.9068, prior_entropy: 1.2099, recall: 0.9068, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.5727, scimark_benchmark: 938.5498, usercpu_time_millis: 570, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9247, kappa: 0.8379, kb_relative_information_score: 6069.9717, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9251, predictive_accuracy: 0.9257, prior_entropy: 1.2099, recall: 0.9257, relative_absolute_error: 0.385, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.5262, scimark_benchmark: 943.1009, usercpu_time_millis: 170, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.8827, kappa: 0.7488, kb_relative_information_score: 6297.1205, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8836, predictive_accuracy: 0.884, prior_entropy: 1.2099, recall: 0.884, relative_absolute_error: 0.2868, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.6107, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.8992, kappa: 0.7822, kb_relative_information_score: 5678.2935, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9032, predictive_accuracy: 0.8976, prior_entropy: 1.2099, recall: 0.8976, relative_absolute_error: 0.4255, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.5782, scimark_benchmark: 936.2574, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.8565, kappa: 0.7349, kb_relative_information_score: 5349.1608, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8736, predictive_accuracy: 0.8781, prior_entropy: 1.2099, recall: 0.8781, relative_absolute_error: 0.2661, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2469, root_relative_squared_error: 0.7301, scimark_benchmark: 930.404, usercpu_time_millis: 730, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.8411, kappa: 0.6552, kb_relative_information_score: 4989.7024, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8449, predictive_accuracy: 0.8499, prior_entropy: 1.2099, recall: 0.8499, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.6733, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.8976, kappa: 0.782, kb_relative_information_score: 5492.3648, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9018, predictive_accuracy: 0.9025, prior_entropy: 1.2099, recall: 0.9025, relative_absolute_error: 0.446, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.6084, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8851, kappa: 0.7571, kb_relative_information_score: 6073.817, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8871, predictive_accuracy: 0.8878, prior_entropy: 1.2099, recall: 0.8878, relative_absolute_error: 0.3485, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.5742, scimark_benchmark: 933.3455, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.8976, kappa: 0.782, kb_relative_information_score: 5492.3648, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9018, predictive_accuracy: 0.9025, prior_entropy: 1.2099, recall: 0.9025, relative_absolute_error: 0.446, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.6084, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9052, kappa: 0.7952, kb_relative_information_score: 5917.5088, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9054, predictive_accuracy: 0.9068, prior_entropy: 1.2099, recall: 0.9068, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.5727, scimark_benchmark: 936.3213, usercpu_time_millis: 570, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9247, kappa: 0.8379, kb_relative_information_score: 6069.9717, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9251, predictive_accuracy: 0.9257, prior_entropy: 1.2099, recall: 0.9257, relative_absolute_error: 0.385, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.5262, scimark_benchmark: 901.4991, usercpu_time_millis: 150, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9708, kappa: 0.9365, kb_relative_information_score: 6914.9973, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9712, predictive_accuracy: 0.9708, prior_entropy: 1.2099, recall: 0.9708, relative_absolute_error: 0.2828, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1328, root_relative_squared_error: 0.3928, scimark_benchmark: 919.9068, usercpu_time_millis: 12410, usercpu_time_millis_testing: 5080, usercpu_time_millis_training: 7330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.973, kappa: 0.9415, kb_relative_information_score: 6898.7664, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9734, predictive_accuracy: 0.9731, prior_entropy: 1.2099, recall: 0.9731, relative_absolute_error: 0.2868, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1325, root_relative_squared_error: 0.3918, scimark_benchmark: 935.2002, usercpu_time_millis: 4180, usercpu_time_millis_testing: 760, usercpu_time_millis_training: 3420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9708, kappa: 0.9365, kb_relative_information_score: 6929.2134, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9711, predictive_accuracy: 0.9708, prior_entropy: 1.2099, recall: 0.9708, relative_absolute_error: 0.2796, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1328, root_relative_squared_error: 0.3926, scimark_benchmark: 917.2109, usercpu_time_millis: 2190, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 1810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.966, kappa: 0.9261, kb_relative_information_score: 6963.2657, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9667, predictive_accuracy: 0.966, prior_entropy: 1.2099, recall: 0.966, relative_absolute_error: 0.2705, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.135, root_relative_squared_error: 0.3992, scimark_benchmark: 911.2316, usercpu_time_millis: 1110, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9599, kappa: 0.9126, kb_relative_information_score: 6841.2187, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9602, predictive_accuracy: 0.9601, prior_entropy: 1.2099, recall: 0.9601, relative_absolute_error: 0.2834, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.4234, scimark_benchmark: 889.4922, usercpu_time_millis: 570, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.5768, kb_relative_information_score: -13.652, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.5768, kb_relative_information_score: -1353.785, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.2031, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.9902, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.5768, kb_relative_information_score: -1353.785, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.2031, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.9902, scimark_benchmark: 938.3115, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.5768, kb_relative_information_score: -1353.785, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.2031, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.9902, scimark_benchmark: 940.0055, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.5768, kb_relative_information_score: 1947.6811, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.669, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.9397, scimark_benchmark: 938.3115, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.5768, kb_relative_information_score: 1771.4014, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6964, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.9479, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5768, kb_relative_information_score: 1973.8136, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6546, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3871, root_relative_squared_error: 1.145, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.897, kappa: 0.7819, kb_relative_information_score: 6242.5013, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9029, predictive_accuracy: 0.8993, prior_entropy: 1.2099, recall: 0.8993, relative_absolute_error: 0.3326, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.5688, scimark_benchmark: 926.5859, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.907, kappa: 0.7994, kb_relative_information_score: 99.9698, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9072, predictive_accuracy: 0.9081, prior_entropy: 1.2099, recall: 0.9081, relative_absolute_error: 1.0959, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.8816, scimark_benchmark: 924.4107, usercpu_time_millis: 750, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 740,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.8411, kappa: 0.6552, kb_relative_information_score: 4989.7024, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8449, predictive_accuracy: 0.8499, prior_entropy: 1.2099, recall: 0.8499, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.6733, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8851, kappa: 0.7571, kb_relative_information_score: 6073.817, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8871, predictive_accuracy: 0.8878, prior_entropy: 1.2099, recall: 0.8878, relative_absolute_error: 0.3485, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.5742, scimark_benchmark: 1324.6442, 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: 0.9134, f_measure: 0.8565, kappa: 0.7349, kb_relative_information_score: 5349.1608, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8736, predictive_accuracy: 0.8781, prior_entropy: 1.2099, recall: 0.8781, relative_absolute_error: 0.2661, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2469, root_relative_squared_error: 0.7301, scimark_benchmark: 1347.1763, usercpu_time_millis: 510, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 280,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.8976, kappa: 0.782, kb_relative_information_score: 5492.3648, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9018, predictive_accuracy: 0.9025, prior_entropy: 1.2099, recall: 0.9025, relative_absolute_error: 0.446, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.6084, scimark_benchmark: 1324.7884,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.8411, kappa: 0.6552, kb_relative_information_score: 4989.7024, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8449, predictive_accuracy: 0.8499, prior_entropy: 1.2099, recall: 0.8499, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.6733, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.8976, kappa: 0.782, kb_relative_information_score: 5492.3648, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9018, predictive_accuracy: 0.9025, prior_entropy: 1.2099, recall: 0.9025, relative_absolute_error: 0.446, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.6084, scimark_benchmark: 1331.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.8976, kappa: 0.782, kb_relative_information_score: 5492.3648, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9018, predictive_accuracy: 0.9025, prior_entropy: 1.2099, recall: 0.9025, relative_absolute_error: 0.446, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.6084, scimark_benchmark: 1326.2019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9052, kappa: 0.7952, kb_relative_information_score: 5917.5088, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9054, predictive_accuracy: 0.9068, prior_entropy: 1.2099, recall: 0.9068, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.5727, scimark_benchmark: 1311.5017, usercpu_time_millis: 530, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9247, kappa: 0.8379, kb_relative_information_score: 6069.9717, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9251, predictive_accuracy: 0.9257, prior_entropy: 1.2099, recall: 0.9257, relative_absolute_error: 0.385, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.5262, scimark_benchmark: 1310.6554, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.8992, kappa: 0.7822, kb_relative_information_score: 5678.2935, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9032, predictive_accuracy: 0.8976, prior_entropy: 1.2099, recall: 0.8976, relative_absolute_error: 0.4255, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.5782, scimark_benchmark: 1299.3719, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.8565, kappa: 0.7349, kb_relative_information_score: 5349.1608, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8736, predictive_accuracy: 0.8781, prior_entropy: 1.2099, recall: 0.8781, relative_absolute_error: 0.2661, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2469, root_relative_squared_error: 0.7301, scimark_benchmark: 1308.891, usercpu_time_millis: 500, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.8565, kappa: 0.7349, kb_relative_information_score: 5349.1608, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8736, predictive_accuracy: 0.8781, prior_entropy: 1.2099, recall: 0.8781, relative_absolute_error: 0.2661, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2469, root_relative_squared_error: 0.7301, scimark_benchmark: 1342.6744, usercpu_time_millis: 530, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.8976, kappa: 0.782, kb_relative_information_score: 5492.3648, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9018, predictive_accuracy: 0.9025, prior_entropy: 1.2099, recall: 0.9025, relative_absolute_error: 0.446, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.6084, scimark_benchmark: 1349.1517, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.8976, kappa: 0.782, kb_relative_information_score: 5492.3648, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9018, predictive_accuracy: 0.9025, prior_entropy: 1.2099, recall: 0.9025, relative_absolute_error: 0.446, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.6084, scimark_benchmark: 1320.1171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.8976, kappa: 0.782, kb_relative_information_score: 5492.3648, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9018, predictive_accuracy: 0.9025, prior_entropy: 1.2099, recall: 0.9025, relative_absolute_error: 0.446, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.6084, scimark_benchmark: 1345.0034, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8851, kappa: 0.7571, kb_relative_information_score: 6073.817, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.8871, predictive_accuracy: 0.8878, prior_entropy: 1.2099, recall: 0.8878, relative_absolute_error: 0.3485, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.5742, scimark_benchmark: 1325.6322, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9052, kappa: 0.7952, kb_relative_information_score: 5917.5088, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9054, predictive_accuracy: 0.9068, prior_entropy: 1.2099, recall: 0.9068, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.5727, scimark_benchmark: 1342.6744, usercpu_time_millis: 580, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9247, kappa: 0.8379, kb_relative_information_score: 6069.9717, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9251, predictive_accuracy: 0.9257, prior_entropy: 1.2099, recall: 0.9257, relative_absolute_error: 0.385, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.5262, scimark_benchmark: 1329.8008, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.8992, kappa: 0.7822, kb_relative_information_score: 5678.2935, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9032, predictive_accuracy: 0.8976, prior_entropy: 1.2099, recall: 0.8976, relative_absolute_error: 0.4255, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.5782, scimark_benchmark: 1364.991, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9052, kappa: 0.7952, kb_relative_information_score: 5917.5088, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.229, number_of_instances: 8640, precision: 0.9054, predictive_accuracy: 0.9068, prior_entropy: 1.2099, recall: 0.9068, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.5727, scimark_benchmark: 1316.7198, usercpu_time_millis: 580, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 550,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs