OpenML
Supervised Classification on teachingAssistant

Supervised Classification on teachingAssistant

Task 3949 Supervised Classification teachingAssistant 528 runs submitted
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  • study_1 study_107 study_123 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.7737, kappa: 0.6624, kb_relative_information_score: 96.049, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7739, predictive_accuracy: 0.7748, prior_entropy: 1.5845, recall: 0.7748, relative_absolute_error: 0.4153, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.7057, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.8676, kappa: 0.8011, kb_relative_information_score: 107.1873, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.8707, predictive_accuracy: 0.8676, prior_entropy: 1.5845, recall: 0.8676, relative_absolute_error: 0.3535, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2698, root_relative_squared_error: 0.5723, scimark_benchmark: 730.6551, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7822, f_measure: 0.5892, kappa: 0.3848, kb_relative_information_score: 53.1505, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5941, predictive_accuracy: 0.5894, prior_entropy: 1.5845, recall: 0.5894, relative_absolute_error: 0.7219, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.8853, scimark_benchmark: 1051.249, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.6551, kappa: 0.4837, kb_relative_information_score: 57.4368, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6561, predictive_accuracy: 0.6556, prior_entropy: 1.5845, recall: 0.6556, relative_absolute_error: 0.7002, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.8331, scimark_benchmark: 1051.249, usercpu_time_millis: 2060, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 1560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.662, kappa: 0.4937, kb_relative_information_score: 58.2331, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.664, predictive_accuracy: 0.6623, prior_entropy: 1.5845, recall: 0.6623, relative_absolute_error: 0.6956, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.391, root_relative_squared_error: 0.8295, scimark_benchmark: 904.5548, usercpu_time_millis: 940, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.6557, kappa: 0.4838, kb_relative_information_score: 55.7317, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.658, predictive_accuracy: 0.6556, prior_entropy: 1.5845, recall: 0.6556, relative_absolute_error: 0.7121, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8512, scimark_benchmark: 938.8535, usercpu_time_millis: 470, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.6424, kappa: 0.4634, kb_relative_information_score: 56.94, mean_absolute_error: 0.3117, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6424, predictive_accuracy: 0.6424, prior_entropy: 1.5845, recall: 0.6424, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.8454, scimark_benchmark: 930.0399, usercpu_time_millis: 230, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.6019, kappa: 0.4037, kb_relative_information_score: 54.5315, mean_absolute_error: 0.3183, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6017, predictive_accuracy: 0.6026, prior_entropy: 1.5845, recall: 0.6026, relative_absolute_error: 0.7163, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8713, scimark_benchmark: 889.4922, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4861, f_measure: 0.1764, kb_relative_information_score: 0.098, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.1186, predictive_accuracy: 0.3444, prior_entropy: 1.5845, recall: 0.3444, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0002, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5522, f_measure: 0.3251, kappa: 0.0733, kb_relative_information_score: 12.6344, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5897, predictive_accuracy: 0.3841, prior_entropy: 1.5845, recall: 0.3841, relative_absolute_error: 0.9458, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.9796, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5522, f_measure: 0.3251, kappa: 0.0733, kb_relative_information_score: 12.6344, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5897, predictive_accuracy: 0.3841, prior_entropy: 1.5845, recall: 0.3841, relative_absolute_error: 0.9458, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.9796, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5522, f_measure: 0.3251, kappa: 0.0733, kb_relative_information_score: 12.6344, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5897, predictive_accuracy: 0.3841, prior_entropy: 1.5845, recall: 0.3841, relative_absolute_error: 0.9458, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.9796, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5522, f_measure: 0.3251, kappa: 0.0733, kb_relative_information_score: 12.6344, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5897, predictive_accuracy: 0.3841, prior_entropy: 1.5845, recall: 0.3841, relative_absolute_error: 0.9458, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.9796, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5522, f_measure: 0.3251, kappa: 0.0733, kb_relative_information_score: 12.6344, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5897, predictive_accuracy: 0.3841, prior_entropy: 1.5845, recall: 0.3841, relative_absolute_error: 0.9458, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.9796, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1764, kb_relative_information_score: 14.6767, mean_absolute_error: 0.4371, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.1186, predictive_accuracy: 0.3444, prior_entropy: 1.5845, recall: 0.3444, relative_absolute_error: 0.9837, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.6611, root_relative_squared_error: 1.4027, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6961, f_measure: 0.5167, kappa: 0.2756, kb_relative_information_score: 29.2194, mean_absolute_error: 0.3917, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5204, predictive_accuracy: 0.5166, prior_entropy: 1.5845, recall: 0.5166, relative_absolute_error: 0.8816, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4461, root_relative_squared_error: 0.9465, scimark_benchmark: 896.741, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7511, f_measure: 0.5881, kappa: 0.3845, kb_relative_information_score: 40.6271, mean_absolute_error: 0.3591, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5896, predictive_accuracy: 0.5894, prior_entropy: 1.5845, recall: 0.5894, relative_absolute_error: 0.8083, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.9, scimark_benchmark: 907.1091, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.4548, kappa: 0.1838, kb_relative_information_score: 18.3347, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.458, predictive_accuracy: 0.457, prior_entropy: 1.5845, recall: 0.457, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9549, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.8807, kappa: 0.8211, kb_relative_information_score: 125.0304, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.8815, predictive_accuracy: 0.8808, prior_entropy: 1.5845, recall: 0.8808, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2695, root_relative_squared_error: 0.5718, scimark_benchmark: 923.509, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, f_measure: 0.5835, kappa: 0.3747, kb_relative_information_score: 60.9113, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5867, predictive_accuracy: 0.5828, prior_entropy: 1.5845, recall: 0.5828, relative_absolute_error: 0.6653, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4763, root_relative_squared_error: 1.0106, scimark_benchmark: 934.7585, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.8741, kappa: 0.8114, kb_relative_information_score: 109.6028, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.879, predictive_accuracy: 0.8742, prior_entropy: 1.5845, recall: 0.8742, relative_absolute_error: 0.3346, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.261, root_relative_squared_error: 0.5538, scimark_benchmark: 907.1091, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.788, kappa: 0.6821, kb_relative_information_score: 107.1855, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7883, predictive_accuracy: 0.7881, prior_entropy: 1.5845, recall: 0.7881, relative_absolute_error: 0.318, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7975, scimark_benchmark: 949.7766, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.788, kappa: 0.6821, kb_relative_information_score: 107.1855, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7883, predictive_accuracy: 0.7881, prior_entropy: 1.5845, recall: 0.7881, relative_absolute_error: 0.318, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7975, scimark_benchmark: 946.8777, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.7737, kappa: 0.6624, kb_relative_information_score: 96.049, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7739, predictive_accuracy: 0.7748, prior_entropy: 1.5845, recall: 0.7748, relative_absolute_error: 0.4153, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.7057, scimark_benchmark: 945.0194, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.7737, kappa: 0.6624, kb_relative_information_score: 96.049, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7739, predictive_accuracy: 0.7748, prior_entropy: 1.5845, recall: 0.7748, relative_absolute_error: 0.4153, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.7057, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6633, f_measure: 0.4454, kappa: 0.1666, kb_relative_information_score: 32.7865, mean_absolute_error: 0.3806, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4512, predictive_accuracy: 0.4437, prior_entropy: 1.5845, recall: 0.4437, relative_absolute_error: 0.8566, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9723, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.7737, kappa: 0.6624, kb_relative_information_score: 96.049, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7739, predictive_accuracy: 0.7748, prior_entropy: 1.5845, recall: 0.7748, relative_absolute_error: 0.4153, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.7057, scimark_benchmark: 952.4682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.8676, kappa: 0.8011, kb_relative_information_score: 107.1873, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.8707, predictive_accuracy: 0.8676, prior_entropy: 1.5845, recall: 0.8676, relative_absolute_error: 0.3535, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2698, root_relative_squared_error: 0.5723, scimark_benchmark: 879.4299, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7822, f_measure: 0.5892, kappa: 0.3848, kb_relative_information_score: 53.1505, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5941, predictive_accuracy: 0.5894, prior_entropy: 1.5845, recall: 0.5894, relative_absolute_error: 0.7219, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.8853, scimark_benchmark: 949.7766, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.8807, kappa: 0.8211, kb_relative_information_score: 125.0304, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.8815, predictive_accuracy: 0.8808, prior_entropy: 1.5845, recall: 0.8808, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2695, root_relative_squared_error: 0.5718, scimark_benchmark: 936.4883, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.788, kappa: 0.6821, kb_relative_information_score: 107.1855, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7883, predictive_accuracy: 0.7881, prior_entropy: 1.5845, recall: 0.7881, relative_absolute_error: 0.318, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7975, scimark_benchmark: 1295.609, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.8344, kappa: 0.7513, kb_relative_information_score: 108.9128, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.8371, predictive_accuracy: 0.8344, prior_entropy: 1.5845, recall: 0.8344, relative_absolute_error: 0.3291, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.5973, scimark_benchmark: 1292.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.7737, kappa: 0.6624, kb_relative_information_score: 96.049, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7739, predictive_accuracy: 0.7748, prior_entropy: 1.5845, recall: 0.7748, relative_absolute_error: 0.4153, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.7057, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.7737, kappa: 0.6624, kb_relative_information_score: 96.049, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7739, predictive_accuracy: 0.7748, prior_entropy: 1.5845, recall: 0.7748, relative_absolute_error: 0.4153, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.7057, scimark_benchmark: 1292.514, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.8344, kappa: 0.7513, kb_relative_information_score: 108.9128, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.8371, predictive_accuracy: 0.8344, prior_entropy: 1.5845, recall: 0.8344, relative_absolute_error: 0.3291, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.5973, scimark_benchmark: 1346.2927, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.7737, kappa: 0.6624, kb_relative_information_score: 96.049, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7739, predictive_accuracy: 0.7748, prior_entropy: 1.5845, recall: 0.7748, relative_absolute_error: 0.4153, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.7057, scimark_benchmark: 1353.0836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.7737, kappa: 0.6624, kb_relative_information_score: 96.049, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7739, predictive_accuracy: 0.7748, prior_entropy: 1.5845, recall: 0.7748, relative_absolute_error: 0.4153, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.7057, scimark_benchmark: 1346.2927,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.8676, kappa: 0.8011, kb_relative_information_score: 107.1873, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.8707, predictive_accuracy: 0.8676, prior_entropy: 1.5845, recall: 0.8676, relative_absolute_error: 0.3535, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2698, root_relative_squared_error: 0.5723, scimark_benchmark: 1336.5541, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.7737, kappa: 0.6624, kb_relative_information_score: 96.049, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7739, predictive_accuracy: 0.7748, prior_entropy: 1.5845, recall: 0.7748, relative_absolute_error: 0.4153, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.7057, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.8676, kappa: 0.8011, kb_relative_information_score: 107.1873, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.8707, predictive_accuracy: 0.8676, prior_entropy: 1.5845, recall: 0.8676, relative_absolute_error: 0.3535, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2698, root_relative_squared_error: 0.5723, scimark_benchmark: 1281.7531, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7822, f_measure: 0.5892, kappa: 0.3848, kb_relative_information_score: 53.1505, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5941, predictive_accuracy: 0.5894, prior_entropy: 1.5845, recall: 0.5894, relative_absolute_error: 0.7219, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.8853, scimark_benchmark: 1281.7531, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.7737, kappa: 0.6624, kb_relative_information_score: 96.049, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7739, predictive_accuracy: 0.7748, prior_entropy: 1.5845, recall: 0.7748, relative_absolute_error: 0.4153, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.7057, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.7737, kappa: 0.6624, kb_relative_information_score: 96.049, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7739, predictive_accuracy: 0.7748, prior_entropy: 1.5845, recall: 0.7748, relative_absolute_error: 0.4153, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.7057, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.7737, kappa: 0.6624, kb_relative_information_score: 96.049, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7739, predictive_accuracy: 0.7748, prior_entropy: 1.5845, recall: 0.7748, relative_absolute_error: 0.4153, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.7057, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.8807, kappa: 0.8211, kb_relative_information_score: 125.0304, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.8815, predictive_accuracy: 0.8808, prior_entropy: 1.5845, recall: 0.8808, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2695, root_relative_squared_error: 0.5718, scimark_benchmark: 1329.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.8344, kappa: 0.7513, kb_relative_information_score: 108.9128, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.8371, predictive_accuracy: 0.8344, prior_entropy: 1.5845, recall: 0.8344, relative_absolute_error: 0.3291, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.5973, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.7737, kappa: 0.6624, kb_relative_information_score: 96.049, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7739, predictive_accuracy: 0.7748, prior_entropy: 1.5845, recall: 0.7748, relative_absolute_error: 0.4153, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.7057, scimark_benchmark: 1350.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.7737, kappa: 0.6624, kb_relative_information_score: 96.049, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7739, predictive_accuracy: 0.7748, prior_entropy: 1.5845, recall: 0.7748, relative_absolute_error: 0.4153, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.7057, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.8344, kappa: 0.7513, kb_relative_information_score: 108.9128, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.8371, predictive_accuracy: 0.8344, prior_entropy: 1.5845, recall: 0.8344, relative_absolute_error: 0.3291, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.5973, scimark_benchmark: 1335.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.7737, kappa: 0.6624, kb_relative_information_score: 96.049, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7739, predictive_accuracy: 0.7748, prior_entropy: 1.5845, recall: 0.7748, relative_absolute_error: 0.4153, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.7057, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.7737, kappa: 0.6624, kb_relative_information_score: 96.049, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7739, predictive_accuracy: 0.7748, prior_entropy: 1.5845, recall: 0.7748, relative_absolute_error: 0.4153, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.7057, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7822, f_measure: 0.5892, kappa: 0.3848, kb_relative_information_score: 53.1505, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5941, predictive_accuracy: 0.5894, prior_entropy: 1.5845, recall: 0.5894, relative_absolute_error: 0.7219, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.8853, scimark_benchmark: 1312.0581, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6738, f_measure: 0.4434, kappa: 0.1653, kb_relative_information_score: 31.3985, mean_absolute_error: 0.3821, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4431, predictive_accuracy: 0.4437, prior_entropy: 1.5845, recall: 0.4437, relative_absolute_error: 0.8599, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9649, scimark_benchmark: 1334.6745, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.7737, kappa: 0.6624, kb_relative_information_score: 96.049, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.7739, predictive_accuracy: 0.7748, prior_entropy: 1.5845, recall: 0.7748, relative_absolute_error: 0.4153, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.7057, scimark_benchmark: 1064.8317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.6434, kappa: 0.4639, kb_relative_information_score: 46.7324, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6462, predictive_accuracy: 0.6424, prior_entropy: 1.5845, recall: 0.6424, relative_absolute_error: 0.7736, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8441, scimark_benchmark: 1320.9366, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.8807, kappa: 0.8211, kb_relative_information_score: 125.0304, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.8815, predictive_accuracy: 0.8808, prior_entropy: 1.5845, recall: 0.8808, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.2695, root_relative_squared_error: 0.5718, scimark_benchmark: 1355.2525,

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