OpenML
Supervised Classification on house_8L

Supervised Classification on house_8L

Task 4413 Supervised Classification house_8L 205 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8581, kappa: 0.6537, kb_relative_information_score: 119420.1444, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8582, predictive_accuracy: 0.8611, prior_entropy: 0.8764, recall: 0.8611, relative_absolute_error: 0.4883, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.329, root_relative_squared_error: 0.7206, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.8652, kappa: 0.6715, kb_relative_information_score: 89398.8123, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8652, predictive_accuracy: 0.8678, prior_entropy: 0.8764, recall: 0.8678, relative_absolute_error: 0.6406, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.7127, scimark_benchmark: 972.587, usercpu_time_millis: 3000, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.8656, kappa: 0.6721, kb_relative_information_score: 125263.5974, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8659, predictive_accuracy: 0.8684, prior_entropy: 0.8764, recall: 0.8684, relative_absolute_error: 0.4566, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6753, scimark_benchmark: 934.3687, usercpu_time_millis: 4550, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.7492, kappa: 0.3804, kb_relative_information_score: 86617.4567, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.7474, predictive_accuracy: 0.7599, prior_entropy: 0.8764, recall: 0.7599, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0733, scimark_benchmark: 904.0772, usercpu_time_millis: 108020, usercpu_time_millis_testing: 23980, usercpu_time_millis_training: 84040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.7492, kappa: 0.3804, kb_relative_information_score: 86617.4567, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.7474, predictive_accuracy: 0.7599, prior_entropy: 0.8764, recall: 0.7599, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0733, scimark_benchmark: 931.771, usercpu_time_millis: 103410, usercpu_time_millis_testing: 22390, usercpu_time_millis_training: 81020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8789, kappa: 0.7068, kb_relative_information_score: 144262.9948, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8785, predictive_accuracy: 0.8801, prior_entropy: 0.8764, recall: 0.8801, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.6494, scimark_benchmark: 941.6675, usercpu_time_millis: 250, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8789, kappa: 0.7068, kb_relative_information_score: 144262.9948, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8785, predictive_accuracy: 0.8801, prior_entropy: 0.8764, recall: 0.8801, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.6494, scimark_benchmark: 941.6675, usercpu_time_millis: 260, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.8834, kappa: 0.7162, kb_relative_information_score: 139329.8098, mean_absolute_error: 0.1637, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8836, predictive_accuracy: 0.8854, prior_entropy: 0.8764, recall: 0.8854, relative_absolute_error: 0.3929, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.6311, scimark_benchmark: 938.191, usercpu_time_millis: 2850, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 2750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.8737, kappa: 0.6934, kb_relative_information_score: 141852.3884, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8733, predictive_accuracy: 0.8754, prior_entropy: 0.8764, recall: 0.8754, relative_absolute_error: 0.3705, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3062, root_relative_squared_error: 0.6707, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.7492, kappa: 0.3804, kb_relative_information_score: 86617.4567, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.7474, predictive_accuracy: 0.7599, prior_entropy: 0.8764, recall: 0.7599, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0733, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.7492, kappa: 0.3804, kb_relative_information_score: 86617.4567, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.7474, predictive_accuracy: 0.7599, prior_entropy: 0.8764, recall: 0.7599, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0733, scimark_benchmark: 932.438, usercpu_time_millis: 153060, usercpu_time_millis_testing: 31070, usercpu_time_millis_training: 121990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8789, kappa: 0.7068, kb_relative_information_score: 144262.9948, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8785, predictive_accuracy: 0.8801, prior_entropy: 0.8764, recall: 0.8801, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.6494, scimark_benchmark: 932.438, usercpu_time_millis: 250, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8789, kappa: 0.7068, kb_relative_information_score: 144262.9948, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8785, predictive_accuracy: 0.8801, prior_entropy: 0.8764, recall: 0.8801, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.6494, scimark_benchmark: 941.3847, usercpu_time_millis: 230, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.8895, kappa: 0.731, kb_relative_information_score: 141429.279, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8898, predictive_accuracy: 0.8914, prior_entropy: 0.8764, recall: 0.8914, relative_absolute_error: 0.3844, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.6153, scimark_benchmark: 937.5117, usercpu_time_millis: 15690, usercpu_time_millis_testing: 1250, usercpu_time_millis_training: 14440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8581, kappa: 0.6537, kb_relative_information_score: 119420.1444, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8582, predictive_accuracy: 0.8611, prior_entropy: 0.8764, recall: 0.8611, relative_absolute_error: 0.4883, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.329, root_relative_squared_error: 0.7206, scimark_benchmark: 942.2392, usercpu_time_millis: 280, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.8652, kappa: 0.6715, kb_relative_information_score: 89398.8123, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8652, predictive_accuracy: 0.8678, prior_entropy: 0.8764, recall: 0.8678, relative_absolute_error: 0.6406, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.7127, scimark_benchmark: 908.9569, usercpu_time_millis: 4480, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 4450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.8656, kappa: 0.6721, kb_relative_information_score: 125263.5974, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8659, predictive_accuracy: 0.8684, prior_entropy: 0.8764, recall: 0.8684, relative_absolute_error: 0.4566, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6753, scimark_benchmark: 938.1282, usercpu_time_millis: 4580, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.7492, kappa: 0.3804, kb_relative_information_score: 86617.4567, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.7474, predictive_accuracy: 0.7599, prior_entropy: 0.8764, recall: 0.7599, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0733, scimark_benchmark: 930.404, usercpu_time_millis: 136310, usercpu_time_millis_testing: 23250, usercpu_time_millis_training: 113060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.7492, kappa: 0.3804, kb_relative_information_score: 86617.4567, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.7474, predictive_accuracy: 0.7599, prior_entropy: 0.8764, recall: 0.7599, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0733, scimark_benchmark: 926.5462, usercpu_time_millis: 111580, usercpu_time_millis_testing: 25220, usercpu_time_millis_training: 86360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8789, kappa: 0.7068, kb_relative_information_score: 144262.9948, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8785, predictive_accuracy: 0.8801, prior_entropy: 0.8764, recall: 0.8801, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.6494, scimark_benchmark: 938.1282, usercpu_time_millis: 240, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8789, kappa: 0.7068, kb_relative_information_score: 144262.9948, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8785, predictive_accuracy: 0.8801, prior_entropy: 0.8764, recall: 0.8801, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.6494, scimark_benchmark: 903.2737, usercpu_time_millis: 400, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.8834, kappa: 0.7162, kb_relative_information_score: 139329.8098, mean_absolute_error: 0.1637, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8836, predictive_accuracy: 0.8854, prior_entropy: 0.8764, recall: 0.8854, relative_absolute_error: 0.3929, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.6311, scimark_benchmark: 930.404, usercpu_time_millis: 2060, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 1990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8789, kappa: 0.7068, kb_relative_information_score: 144262.9948, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8785, predictive_accuracy: 0.8801, prior_entropy: 0.8764, recall: 0.8801, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.6494, scimark_benchmark: 936.9595, usercpu_time_millis: 280, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.8737, kappa: 0.6934, kb_relative_information_score: 141852.3884, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8733, predictive_accuracy: 0.8754, prior_entropy: 0.8764, recall: 0.8754, relative_absolute_error: 0.3705, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3062, root_relative_squared_error: 0.6707, scimark_benchmark: 936.9595, usercpu_time_millis: 3450, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 3380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.8895, kappa: 0.731, kb_relative_information_score: 141429.279, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8898, predictive_accuracy: 0.8914, prior_entropy: 0.8764, recall: 0.8914, relative_absolute_error: 0.3844, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.6153, scimark_benchmark: 901.4991, usercpu_time_millis: 16620, usercpu_time_millis_testing: 1980, usercpu_time_millis_training: 14640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8814, kappa: 0.7093, kb_relative_information_score: 129895.5187, mean_absolute_error: 0.1875, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8836, predictive_accuracy: 0.8848, prior_entropy: 0.8764, recall: 0.8848, relative_absolute_error: 0.4498, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.6311, scimark_benchmark: 1171.0303, usercpu_time_millis: 474510, usercpu_time_millis_testing: 76070, usercpu_time_millis_training: 398440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.8814, kappa: 0.7091, kb_relative_information_score: 129858.0953, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8835, predictive_accuracy: 0.8847, prior_entropy: 0.8764, recall: 0.8847, relative_absolute_error: 0.4497, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.6318, scimark_benchmark: 859.5223, usercpu_time_millis: 140150, usercpu_time_millis_testing: 10950, usercpu_time_millis_training: 129200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.8803, kappa: 0.7067, kb_relative_information_score: 129638.5832, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8822, predictive_accuracy: 0.8836, prior_entropy: 0.8764, recall: 0.8836, relative_absolute_error: 0.4494, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.6357, scimark_benchmark: 938.8535, usercpu_time_millis: 34710, usercpu_time_millis_testing: 2310, usercpu_time_millis_training: 32400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.879, kappa: 0.7037, kb_relative_information_score: 129357.4544, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8807, predictive_accuracy: 0.8822, prior_entropy: 0.8764, recall: 0.8822, relative_absolute_error: 0.4492, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2923, root_relative_squared_error: 0.6404, scimark_benchmark: 920.5394, usercpu_time_millis: 16820, usercpu_time_millis_testing: 1130, usercpu_time_millis_training: 15690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8528, kappa: 0.6427, kb_relative_information_score: 120454.2885, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8521, predictive_accuracy: 0.8546, prior_entropy: 0.8764, recall: 0.8546, relative_absolute_error: 0.4701, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.7089, scimark_benchmark: 929.0296, usercpu_time_millis: 720, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8528, kappa: 0.6427, kb_relative_information_score: 120454.2885, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8521, predictive_accuracy: 0.8546, prior_entropy: 0.8764, recall: 0.8546, relative_absolute_error: 0.4701, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.7089, scimark_benchmark: 941.9549, usercpu_time_millis: 510, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8528, kappa: 0.6427, kb_relative_information_score: 120454.2885, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8521, predictive_accuracy: 0.8546, prior_entropy: 0.8764, recall: 0.8546, relative_absolute_error: 0.4701, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.7089, scimark_benchmark: 894.7131, usercpu_time_millis: 590, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8528, kappa: 0.6427, kb_relative_information_score: 120454.2885, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8521, predictive_accuracy: 0.8546, prior_entropy: 0.8764, recall: 0.8546, relative_absolute_error: 0.4701, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.7089, scimark_benchmark: 929.0296, usercpu_time_millis: 670, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8528, kappa: 0.6427, kb_relative_information_score: 120454.2885, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8521, predictive_accuracy: 0.8546, prior_entropy: 0.8764, recall: 0.8546, relative_absolute_error: 0.4701, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.7089, scimark_benchmark: 926.5859, usercpu_time_millis: 520, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 490,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8678, kappa: 0.6788, kb_relative_information_score: 148725.7865, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8674, predictive_accuracy: 0.8697, prior_entropy: 0.8764, recall: 0.8697, relative_absolute_error: 0.3262, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.333, root_relative_squared_error: 0.7294, scimark_benchmark: 936.1714, usercpu_time_millis: 11700, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 11550,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8789, kappa: 0.7068, kb_relative_information_score: 144262.9948, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8785, predictive_accuracy: 0.8801, prior_entropy: 0.8764, recall: 0.8801, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.6494, scimark_benchmark: 1375.1578, usercpu_time_millis: 150, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8789, kappa: 0.7068, kb_relative_information_score: 144262.9948, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8785, predictive_accuracy: 0.8801, prior_entropy: 0.8764, recall: 0.8801, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.6494, scimark_benchmark: 1324.8408, usercpu_time_millis: 240, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8789, kappa: 0.7068, kb_relative_information_score: 144262.9948, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8785, predictive_accuracy: 0.8801, prior_entropy: 0.8764, recall: 0.8801, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.6494, scimark_benchmark: 930.5999, usercpu_time_millis: 220, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.8737, kappa: 0.6934, kb_relative_information_score: 141852.3884, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8733, predictive_accuracy: 0.8754, prior_entropy: 0.8764, recall: 0.8754, relative_absolute_error: 0.3705, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3062, root_relative_squared_error: 0.6707, scimark_benchmark: 1317.5857, usercpu_time_millis: 3330, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 3210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.8627, kappa: 0.6721, kb_relative_information_score: 138898.9038, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8635, predictive_accuracy: 0.8621, prior_entropy: 0.8764, recall: 0.8621, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.7092, scimark_benchmark: 1310.6554, usercpu_time_millis: 190, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8789, kappa: 0.7068, kb_relative_information_score: 144262.9948, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8785, predictive_accuracy: 0.8801, prior_entropy: 0.8764, recall: 0.8801, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.6494, scimark_benchmark: 1310.6554, usercpu_time_millis: 180, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.8627, kappa: 0.6721, kb_relative_information_score: 138898.9038, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8635, predictive_accuracy: 0.8621, prior_entropy: 0.8764, recall: 0.8621, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.7092, scimark_benchmark: 1333.6736, usercpu_time_millis: 270, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8789, kappa: 0.7068, kb_relative_information_score: 144262.9948, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8785, predictive_accuracy: 0.8801, prior_entropy: 0.8764, recall: 0.8801, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.6494, scimark_benchmark: 1316.5668, usercpu_time_millis: 260, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8789, kappa: 0.7068, kb_relative_information_score: 144262.9948, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8785, predictive_accuracy: 0.8801, prior_entropy: 0.8764, recall: 0.8801, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.6494, scimark_benchmark: 1322.3407, usercpu_time_millis: 210, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8789, kappa: 0.7068, kb_relative_information_score: 144262.9948, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8785, predictive_accuracy: 0.8801, prior_entropy: 0.8764, recall: 0.8801, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.6494, scimark_benchmark: 1324.7884, usercpu_time_millis: 170, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8789, kappa: 0.7068, kb_relative_information_score: 144262.9948, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8785, predictive_accuracy: 0.8801, prior_entropy: 0.8764, recall: 0.8801, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.6494, scimark_benchmark: 1339.2472, usercpu_time_millis: 180, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.8895, kappa: 0.731, kb_relative_information_score: 141429.279, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8898, predictive_accuracy: 0.8914, prior_entropy: 0.8764, recall: 0.8914, relative_absolute_error: 0.3844, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.6153, scimark_benchmark: 1354.5533, usercpu_time_millis: 14280, usercpu_time_millis_testing: 1660, usercpu_time_millis_training: 12620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.8627, kappa: 0.6721, kb_relative_information_score: 138898.9038, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8635, predictive_accuracy: 0.8621, prior_entropy: 0.8764, recall: 0.8621, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.7092, scimark_benchmark: 1306.9281, usercpu_time_millis: 170, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8789, kappa: 0.7068, kb_relative_information_score: 144262.9948, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8785, predictive_accuracy: 0.8801, prior_entropy: 0.8764, recall: 0.8801, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.6494, scimark_benchmark: 1306.9281, usercpu_time_millis: 160, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8789, kappa: 0.7068, kb_relative_information_score: 144262.9948, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8785, predictive_accuracy: 0.8801, prior_entropy: 0.8764, recall: 0.8801, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.6494, scimark_benchmark: 1333.0982, usercpu_time_millis: 220, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 160,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8789, kappa: 0.7068, kb_relative_information_score: 144262.9948, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8785, predictive_accuracy: 0.8801, prior_entropy: 0.8764, recall: 0.8801, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.6494, scimark_benchmark: 1310.6554, usercpu_time_millis: 190, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.8737, kappa: 0.6934, kb_relative_information_score: 141852.3884, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8733, predictive_accuracy: 0.8754, prior_entropy: 0.8764, recall: 0.8754, relative_absolute_error: 0.3705, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3062, root_relative_squared_error: 0.6707, scimark_benchmark: 1338.5214, usercpu_time_millis: 2770, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 2650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.8895, kappa: 0.731, kb_relative_information_score: 141429.279, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8898, predictive_accuracy: 0.8914, prior_entropy: 0.8764, recall: 0.8914, relative_absolute_error: 0.3844, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.6153, scimark_benchmark: 1330.9181, usercpu_time_millis: 16010, usercpu_time_millis_testing: 2260, usercpu_time_millis_training: 13750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.878, kappa: 0.7034, kb_relative_information_score: 152874.4596, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8778, predictive_accuracy: 0.8798, prior_entropy: 0.8764, recall: 0.8798, relative_absolute_error: 0.3119, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.7234, scimark_benchmark: 1333.0982, usercpu_time_millis: 4500, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 4070,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.7492, kappa: 0.3804, kb_relative_information_score: 86617.4567, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.7474, predictive_accuracy: 0.7599, prior_entropy: 0.8764, recall: 0.7599, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0733, scimark_benchmark: 1321.4771, usercpu_time_millis: 381130, usercpu_time_millis_testing: 104350, usercpu_time_millis_training: 276780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.8767, kappa: 0.6997, kb_relative_information_score: 136913.6968, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8769, predictive_accuracy: 0.879, prior_entropy: 0.8764, recall: 0.879, relative_absolute_error: 0.4029, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.6542, scimark_benchmark: 1331.2559, usercpu_time_millis: 31950, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 31930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8789, kappa: 0.7068, kb_relative_information_score: 144262.9948, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8785, predictive_accuracy: 0.8801, prior_entropy: 0.8764, recall: 0.8801, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.6494, scimark_benchmark: 1299.6719, usercpu_time_millis: 180, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.8834, kappa: 0.7162, kb_relative_information_score: 139329.8098, mean_absolute_error: 0.1637, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8836, predictive_accuracy: 0.8854, prior_entropy: 0.8764, recall: 0.8854, relative_absolute_error: 0.3929, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.6311, scimark_benchmark: 1318.9519, usercpu_time_millis: 1770, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 1680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8789, kappa: 0.7068, kb_relative_information_score: 144262.9948, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8785, predictive_accuracy: 0.8801, prior_entropy: 0.8764, recall: 0.8801, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.6494, scimark_benchmark: 1327.6367, usercpu_time_millis: 420, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.7492, kappa: 0.3804, kb_relative_information_score: 86617.4567, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.7474, predictive_accuracy: 0.7599, prior_entropy: 0.8764, recall: 0.7599, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0733, scimark_benchmark: 929.0363, usercpu_time_millis: 114480, usercpu_time_millis_testing: 21740, usercpu_time_millis_training: 92740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8581, kappa: 0.6537, kb_relative_information_score: 119420.1444, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8582, predictive_accuracy: 0.8611, prior_entropy: 0.8764, recall: 0.8611, relative_absolute_error: 0.4883, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.329, root_relative_squared_error: 0.7206, scimark_benchmark: 940.3347, usercpu_time_millis: 450, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, f_measure: 0.8302, kappa: 0.5876, kb_relative_information_score: 109964.6791, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8292, predictive_accuracy: 0.8326, prior_entropy: 0.8764, recall: 0.8326, relative_absolute_error: 0.5112, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.7911, scimark_benchmark: 1360.0477, usercpu_time_millis: 190, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8789, kappa: 0.7068, kb_relative_information_score: 144262.9948, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4168, number_of_instances: 227840, precision: 0.8785, predictive_accuracy: 0.8801, prior_entropy: 0.8764, recall: 0.8801, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.6494, scimark_benchmark: 1360.6367, usercpu_time_millis: 220, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 160,

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