Task
Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 3493 Supervised Classification monks-problems-2 129575 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.5205, kappa: -0.0033, kb_relative_information_score: 121.2479, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4316, predictive_accuracy: 0.6556, prior_entropy: 0.9279, recall: 0.6556, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5869, root_relative_squared_error: 1.2365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5906, f_measure: 0.6511, kappa: 0.2105, kb_relative_information_score: 174.5186, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6785, predictive_accuracy: 0.6938, prior_entropy: 0.9279, recall: 0.6938, relative_absolute_error: 0.6793, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5533, root_relative_squared_error: 1.1658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 600.6839, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, root_mean_prior_squared_error: 0.4746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 406.1301, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8847, predictive_accuracy: 0.8602, prior_entropy: 0.9279, recall: 0.8602, relative_absolute_error: 0.3101, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.7877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 600.6839, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, root_mean_prior_squared_error: 0.4746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 600.6839, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, root_mean_prior_squared_error: 0.4746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3551, f_measure: 0.4231, kappa: -0.3036, kb_relative_information_score: -179.8472, mean_absolute_error: 0.5607, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4095, predictive_accuracy: 0.4393, prior_entropy: 0.9279, recall: 0.4393, relative_absolute_error: 1.2441, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.7488, root_relative_squared_error: 1.5777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6003, f_measure: 0.661, kappa: 0.2318, kb_relative_information_score: 183.783, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6878, predictive_accuracy: 0.7005, prior_entropy: 0.9279, recall: 0.7005, relative_absolute_error: 0.6645, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5473, root_relative_squared_error: 1.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.8416, kappa: 0.6479, kb_relative_information_score: 380.6529, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8414, predictive_accuracy: 0.8419, prior_entropy: 0.9279, recall: 0.8419, relative_absolute_error: 0.3507, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.8377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 600.6839, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, root_mean_prior_squared_error: 0.4746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3314, f_measure: 0.3964, kappa: -0.335, kb_relative_information_score: -242.3823, mean_absolute_error: 0.6057, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.3985, predictive_accuracy: 0.3943, prior_entropy: 0.9279, recall: 0.3943, relative_absolute_error: 1.3438, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.7782, root_relative_squared_error: 1.6397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3299, f_measure: 0.399, kappa: -0.3492, kb_relative_information_score: -223.8534, mean_absolute_error: 0.5923, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.391, predictive_accuracy: 0.4077, prior_entropy: 0.9279, recall: 0.4077, relative_absolute_error: 1.3142, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.7696, root_relative_squared_error: 1.6215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5265, f_measure: 0.5788, kappa: 0.0645, kb_relative_information_score: 118.9318, mean_absolute_error: 0.3461, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6053, predictive_accuracy: 0.6539, prior_entropy: 0.9279, recall: 0.6539, relative_absolute_error: 0.7679, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5883, root_relative_squared_error: 1.2395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3462, f_measure: 0.4138, kappa: -0.3335, kb_relative_information_score: -170.5827, mean_absolute_error: 0.5541, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.3875, predictive_accuracy: 0.4459, prior_entropy: 0.9279, recall: 0.4459, relative_absolute_error: 1.2293, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.7444, root_relative_squared_error: 1.5683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3659, f_measure: 0.4276, kappa: -0.2667, kb_relative_information_score: -198.3761, mean_absolute_error: 0.574, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4292, predictive_accuracy: 0.426, prior_entropy: 0.9279, recall: 0.426, relative_absolute_error: 1.2736, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.7577, root_relative_squared_error: 1.5963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6558, f_measure: 0.6945, kappa: 0.3168, kb_relative_information_score: 179.1508, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6926, predictive_accuracy: 0.6972, prior_entropy: 0.9279, recall: 0.6972, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5503, root_relative_squared_error: 1.1594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 600.6839, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, root_mean_prior_squared_error: 0.4746,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3019, f_measure: 0.3705, kappa: -0.3948, kb_relative_information_score: -277.1241, mean_absolute_error: 0.6306, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.3716, predictive_accuracy: 0.3694, prior_entropy: 0.9279, recall: 0.3694, relative_absolute_error: 1.3991, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.7941, root_relative_squared_error: 1.6731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 406.1301, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8847, predictive_accuracy: 0.8602, prior_entropy: 0.9279, recall: 0.8602, relative_absolute_error: 0.3101, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.7877,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.307, f_measure: 0.3757, kappa: -0.3865, kb_relative_information_score: -267.8596, mean_absolute_error: 0.624, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.3753, predictive_accuracy: 0.376, prior_entropy: 0.9279, recall: 0.376, relative_absolute_error: 1.3844, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.7899, root_relative_squared_error: 1.6643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 600.6839, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, root_mean_prior_squared_error: 0.4746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.5205, kappa: -0.0033, kb_relative_information_score: 121.2479, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4316, predictive_accuracy: 0.6556, prior_entropy: 0.9279, recall: 0.6556, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5869, root_relative_squared_error: 1.2365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5748, f_measure: 0.6347, kappa: 0.1758, kb_relative_information_score: 160.6219, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.664, predictive_accuracy: 0.6839, prior_entropy: 0.9279, recall: 0.6839, relative_absolute_error: 0.7014, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5623, root_relative_squared_error: 1.1846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 600.6839, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, root_mean_prior_squared_error: 0.4746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.9351, kappa: 0.8558, kb_relative_information_score: 510.3554, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.935, predictive_accuracy: 0.9351, prior_entropy: 0.9279, recall: 0.9351, relative_absolute_error: 0.144, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.5367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 406.1301, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8847, predictive_accuracy: 0.8602, prior_entropy: 0.9279, recall: 0.8602, relative_absolute_error: 0.3101, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.7877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3721, f_measure: 0.4336, kappa: -0.2549, kb_relative_information_score: -189.1117, mean_absolute_error: 0.5674, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4346, predictive_accuracy: 0.4326, prior_entropy: 0.9279, recall: 0.4326, relative_absolute_error: 1.2589, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.7533, root_relative_squared_error: 1.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3241, f_measure: 0.3904, kappa: -0.3506, kb_relative_information_score: -249.3307, mean_absolute_error: 0.6106, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.3915, predictive_accuracy: 0.3894, prior_entropy: 0.9279, recall: 0.3894, relative_absolute_error: 1.3548, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.7814, root_relative_squared_error: 1.6464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3229, f_measure: 0.3897, kappa: -0.3538, kb_relative_information_score: -249.3307, mean_absolute_error: 0.6106, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.3901, predictive_accuracy: 0.3894, prior_entropy: 0.9279, recall: 0.3894, relative_absolute_error: 1.3548, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.7814, root_relative_squared_error: 1.6464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3229, f_measure: 0.3897, kappa: -0.3538, kb_relative_information_score: -249.3307, mean_absolute_error: 0.6106, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.3901, predictive_accuracy: 0.3894, prior_entropy: 0.9279, recall: 0.3894, relative_absolute_error: 1.3548, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.7814, root_relative_squared_error: 1.6464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3444, f_measure: 0.4117, kappa: -0.317, kb_relative_information_score: -209.9567, mean_absolute_error: 0.5824, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4061, predictive_accuracy: 0.4176, prior_entropy: 0.9279, recall: 0.4176, relative_absolute_error: 1.2921, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.7631, root_relative_squared_error: 1.6078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 406.1301, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8847, predictive_accuracy: 0.8602, prior_entropy: 0.9279, recall: 0.8602, relative_absolute_error: 0.3101, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.7877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 600.6839, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, root_mean_prior_squared_error: 0.4746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.5205, kappa: -0.0033, kb_relative_information_score: 121.2479, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4316, predictive_accuracy: 0.6556, prior_entropy: 0.9279, recall: 0.6556, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5869, root_relative_squared_error: 1.2365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 600.6839, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, root_mean_prior_squared_error: 0.4746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 600.6839, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, root_mean_prior_squared_error: 0.4746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 600.6839, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, root_mean_prior_squared_error: 0.4746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6425, f_measure: 0.6845, kappa: 0.2921, kb_relative_information_score: 167.5702, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6819, predictive_accuracy: 0.6889, prior_entropy: 0.9279, recall: 0.6889, relative_absolute_error: 0.6903, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5578, root_relative_squared_error: 1.1752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.454, f_measure: 0.5112, kappa: -0.0937, kb_relative_information_score: -73.3059, mean_absolute_error: 0.4842, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5071, predictive_accuracy: 0.5158, prior_entropy: 0.9279, recall: 0.5158, relative_absolute_error: 1.0743, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.6958, root_relative_squared_error: 1.4661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5986, f_measure: 0.6377, kappa: 0.1968, kb_relative_information_score: 95.7706, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6381, predictive_accuracy: 0.6373, prior_entropy: 0.9279, recall: 0.6373, relative_absolute_error: 0.8048, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.6023, root_relative_squared_error: 1.2689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9589, kappa: 0.9101, kb_relative_information_score: 542.781, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9623, predictive_accuracy: 0.9584, prior_entropy: 0.9279, recall: 0.9584, relative_absolute_error: 0.0923, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.204, root_relative_squared_error: 0.4297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 600.6839, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, root_mean_prior_squared_error: 0.4746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.382, f_measure: 0.4419, kappa: -0.2685, kb_relative_information_score: -98.7831, mean_absolute_error: 0.5025, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.3999, predictive_accuracy: 0.4975, prior_entropy: 0.9279, recall: 0.4975, relative_absolute_error: 1.1149, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.7089, root_relative_squared_error: 1.4935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4704, f_measure: 0.521, kappa: -0.0587, kb_relative_information_score: -68.6736, mean_absolute_error: 0.4809, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.523, predictive_accuracy: 0.5191, prior_entropy: 0.9279, recall: 0.5191, relative_absolute_error: 1.0669, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.6934, root_relative_squared_error: 1.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 600.6839, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, root_mean_prior_squared_error: 0.4746,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs