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Pieter Gijsbers 5 years ago
ran flow automlbenchmark_autosklearn(1) on task Supervised Classification on data set shuttle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9996, kb_relative_information_score: 0.9995, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.1016, number_of_instances: 58000, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.9603, recall: 0.9998, relative_absolute_error: 0.0005, root_mean_prior_squared_error: 0.2254, root_mean_squared_error: 0.0055, root_relative_squared_error: 0.0244,
Pieter Gijsbers 5 years ago
ran flow automlbenchmark_randomforest(1) on task Supervised Classification on data set shuttle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9999, kappa: 0.9997, kb_relative_information_score: 0.9988, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.1016, number_of_instances: 58000, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9603, recall: 0.9999, relative_absolute_error: 0.0017, root_mean_prior_squared_error: 0.2254, root_mean_squared_error: 0.0067, root_relative_squared_error: 0.0297,
Pieter Gijsbers 5 years ago
ran flow automlbenchmark_tunedrandomforest(1) on task Supervised Classification on data set shuttle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9999, kappa: 0.9997, kb_relative_information_score: 0.999, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.1016, number_of_instances: 58000, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9603, recall: 0.9999, relative_absolute_error: 0.0012, root_mean_prior_squared_error: 0.2254, root_mean_squared_error: 0.0062, root_relative_squared_error: 0.0276,
Pieter Gijsbers 5 years ago
ran flow automlbenchmark_autoweka(1) on task Supervised Classification on data set shuttle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9986, kappa: 0.9965, kb_relative_information_score: 0.9908, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.1016, number_of_instances: 58000, precision: 0.9987, predictive_accuracy: 0.9987, prior_entropy: 0.9603, recall: 0.9987, relative_absolute_error: 0.0054, root_mean_prior_squared_error: 0.2254, root_mean_squared_error: 0.0185, root_relative_squared_error: 0.0823,
Pieter Gijsbers 5 years ago
ran flow automlbenchmark_h2oautoml(1) on task Supervised Classification on data set shuttle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9999, kappa: 0.9997, kb_relative_information_score: 0.9995, mean_absolute_error: 0, mean_prior_absolute_error: 0.1016, number_of_instances: 58000, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9603, recall: 0.9999, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.2254, root_mean_squared_error: 0.0051, root_relative_squared_error: 0.0225,
Pieter Gijsbers 5 years ago
ran flow automlbenchmark_tpot(1) on task Supervised Classification on data set shuttle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 0.9995, mean_absolute_error: 0, mean_prior_absolute_error: 0.1016, number_of_instances: 58000, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9603, recall: 0.9999, relative_absolute_error: 0.0004, root_mean_prior_squared_error: 0.2254, root_mean_squared_error: 0.0041, root_relative_squared_error: 0.0183,
Peng YU 5 years ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set shuttle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, kappa: 0.6648, kb_relative_information_score: 0.521, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1016, weighted_recall: 0.8689, number_of_instances: 58000, predictive_accuracy: 0.8689, prior_entropy: 0.9603, relative_absolute_error: 0.4938, root_mean_prior_squared_error: 0.2254, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.7028, unweighted_recall: 0.2721,
Peng YU 5 years ago
ran flow bsplitz.DecisionStumpClassifierV3(1) on task Supervised Classification on data set shuttle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, kappa: 0.6648, kb_relative_information_score: 0.521, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1016, weighted_recall: 0.8689, number_of_instances: 58000, predictive_accuracy: 0.8689, prior_entropy: 0.9603, relative_absolute_error: 0.4938, root_mean_prior_squared_error: 0.2254, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.7028, unweighted_recall: 0.2721,
Peng YU 5 years ago
ran flow sklearn.ensemble._weight_boosting.AdaBoostClassifier(1) on task Supervised Classification on data set shuttle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, kappa: 0.7053, kb_relative_information_score: -0.5461, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.1016, weighted_recall: 0.8837, number_of_instances: 58000, predictive_accuracy: 0.8837, prior_entropy: 0.9603, relative_absolute_error: 1.4451, root_mean_prior_squared_error: 0.2254, root_mean_squared_error: 0.2515, root_relative_squared_error: 1.1158, unweighted_recall: 0.457,
Peng YU 5 years ago
ran flow bsplitz.DecisionStumpClassifierV3(1) on task Supervised Classification on data set shuttle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, kappa: 0.6648, kb_relative_information_score: 0.521, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1016, weighted_recall: 0.8689, number_of_instances: 58000, predictive_accuracy: 0.8689, prior_entropy: 0.9603, relative_absolute_error: 0.4938, root_mean_prior_squared_error: 0.2254, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.7028, unweighted_recall: 0.2721,