OpenML
Supervised Classification on sick

Supervised Classification on sick

Task 3021 Supervised Classification sick 16669 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_98 study_99 under100k under1m
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16669 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5736, kb_relative_information_score: 0.0014, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6029, kb_relative_information_score: -3.7797, mean_absolute_error: 0.2261, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 1.9632, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2905, root_relative_squared_error: 1.2115, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5995, kb_relative_information_score: -0.2697, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2385, root_relative_squared_error: 0.9948, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3941, f_measure: 0.7915, kappa: -0.0986, kb_relative_information_score: -2.3616, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.1152, weighted_recall: 0.7285, number_of_instances: 3772, precision: 0.867, predictive_accuracy: 0.7285, prior_entropy: 0.3324, relative_absolute_error: 2.3569, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.521, root_relative_squared_error: 2.173, unweighted_recall: 0.3941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5993, kb_relative_information_score: -0.2429, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.9955, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.967, kappa: 0.7359, kb_relative_information_score: -5.5397, mean_absolute_error: 0.2897, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9645, number_of_instances: 3772, precision: 0.972, predictive_accuracy: 0.9645, prior_entropy: 0.3324, relative_absolute_error: 2.5152, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2983, root_relative_squared_error: 1.2441, unweighted_recall: 0.9305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6026, kb_relative_information_score: -1.1781, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 1.0684, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.9949, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, kb_relative_information_score: 0.0009, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, kb_relative_information_score: 0.0009, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, kb_relative_information_score: 0.0009, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5941, kb_relative_information_score: -5.7437, mean_absolute_error: 0.3049, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 2.6474, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.3229, root_relative_squared_error: 1.3465, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5163, f_measure: 0.8409, kappa: 0.0186, kb_relative_information_score: -1.449, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.1152, weighted_recall: 0.8022, number_of_instances: 3772, precision: 0.8878, predictive_accuracy: 0.8022, prior_entropy: 0.3324, relative_absolute_error: 1.717, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.4447, root_relative_squared_error: 1.8548, unweighted_recall: 0.5163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6003, kb_relative_information_score: -0.3951, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.9931, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, kb_relative_information_score: 0.0007, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2417, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, kb_relative_information_score: -0.001, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.9659, kappa: 0.7284, kb_relative_information_score: -5.5161, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9631, number_of_instances: 3772, precision: 0.9714, predictive_accuracy: 0.9631, prior_entropy: 0.3324, relative_absolute_error: 2.4827, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2989, root_relative_squared_error: 1.2467, unweighted_recall: 0.9298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, kb_relative_information_score: 0.0004, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, kb_relative_information_score: 0.0009, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2417, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5995, kb_relative_information_score: -0.2697, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2385, root_relative_squared_error: 0.9948, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, kb_relative_information_score: 0.0009, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, kb_relative_information_score: 0.0003, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 0.0013, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, kb_relative_information_score: -6.2014, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 2.9252, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.3485, root_relative_squared_error: 1.4535, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, kb_relative_information_score: -6.2014, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 2.9252, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.3485, root_relative_squared_error: 1.4535, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, kb_relative_information_score: -6.2014, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 2.9252, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.3485, root_relative_squared_error: 1.4535, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, kb_relative_information_score: -6.2014, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 2.9252, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.3485, root_relative_squared_error: 1.4535, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, kb_relative_information_score: -6.2014, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 2.9252, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.3485, root_relative_squared_error: 1.4535, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, kb_relative_information_score: -6.2014, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 2.9252, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.3485, root_relative_squared_error: 1.4535, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, kb_relative_information_score: -6.2014, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 2.9252, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.3485, root_relative_squared_error: 1.4535, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, kb_relative_information_score: -6.2014, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 2.9252, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.3485, root_relative_squared_error: 1.4535, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, kb_relative_information_score: -6.2014, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 2.9252, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.3485, root_relative_squared_error: 1.4535, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, kb_relative_information_score: -6.2014, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 2.9252, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.3485, root_relative_squared_error: 1.4535, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, kb_relative_information_score: -6.2014, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 2.9252, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.3485, root_relative_squared_error: 1.4535, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, kb_relative_information_score: -6.2014, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 2.9252, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.3485, root_relative_squared_error: 1.4535, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, kb_relative_information_score: -6.2014, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 2.9252, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.3485, root_relative_squared_error: 1.4535, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, kb_relative_information_score: -6.2014, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 2.9252, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.3485, root_relative_squared_error: 1.4535, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, kb_relative_information_score: -6.2014, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 2.9252, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.3485, root_relative_squared_error: 1.4535, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, kb_relative_information_score: 0.0009, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, kb_relative_information_score: 0.0009, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2417, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2417, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.916, kappa: 0.1023, kb_relative_information_score: -0.6, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, precision: 0.9152, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.9547, unweighted_recall: 0.5303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, kb_relative_information_score: 0.0009, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5982, kb_relative_information_score: -0.6315, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9862, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.238, root_relative_squared_error: 0.9928, unweighted_recall: 0.5,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5931, kb_relative_information_score: -0.5783, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.238, root_relative_squared_error: 0.9927, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5288, kb_relative_information_score: -0.15, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9944, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.9986, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2417, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.9098, kappa: 0.0188, kb_relative_information_score: -0.2392, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9372, number_of_instances: 3772, precision: 0.8971, predictive_accuracy: 0.9372, prior_entropy: 0.3324, relative_absolute_error: 0.8692, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.9502, unweighted_recall: 0.5052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -0.0051, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6052, f_measure: 0.4128, kappa: 0.0341, kb_relative_information_score: -7.4729, mean_absolute_error: 0.6843, mean_prior_absolute_error: 0.1152, weighted_recall: 0.3157, number_of_instances: 3772, precision: 0.9293, predictive_accuracy: 0.3157, prior_entropy: 0.3324, relative_absolute_error: 5.9405, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.8272, root_relative_squared_error: 3.4499, unweighted_recall: 0.6052,

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