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said edsa 1 year ago
ran flow sklearn.pipeline.Pipeline(vari ... est.RandomForestClassifier)(1) on task Supervised Classification on data set appendicitis_test_edsa
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, f_measure: 0.8675, kappa: 0.5664, kb_relative_information_score: 0.3369, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.3211, weighted_recall: 0.8736, number_of_instances: 1060, precision: 0.8663, predictive_accuracy: 0.8736, prior_entropy: 0.7183, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.3986, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.826, unweighted_recall: 0.7598,
said edsa 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(1) on task Supervised Classification on data set Weather
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6222, f_measure: 0.6929, kappa: 0.3171, kb_relative_information_score: 0.1084, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4643, weighted_recall: 0.7143, number_of_instances: 14, precision: 0.7056, predictive_accuracy: 0.7143, prior_entropy: 0.9413, relative_absolute_error: 0.9046, root_mean_prior_squared_error: 0.4795, root_mean_squared_error: 0.4833, root_relative_squared_error: 1.008, unweighted_recall: 0.6444,
said edsa 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(1) on task Supervised Classification on data set Weather
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.6324, kappa: 0.186, kb_relative_information_score: 0.0569, mean_absolute_error: 0.4343, mean_prior_absolute_error: 0.4643, weighted_recall: 0.6429, number_of_instances: 14, precision: 0.6286, predictive_accuracy: 0.6429, prior_entropy: 0.9413, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.4795, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.038, unweighted_recall: 0.5889,
said edsa 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(29) on task Supervised Classification on data set pendigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9628, kappa: 0.9586, kb_relative_information_score: 0.9611, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.18, weighted_recall: 0.9628, number_of_instances: 10992, precision: 0.9628, predictive_accuracy: 0.9628, prior_entropy: 3.3208, relative_absolute_error: 0.0414, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0863, root_relative_squared_error: 0.2876, unweighted_recall: 0.9628,
said edsa 1 year ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(32) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.8779, kappa: 0.7289, kb_relative_information_score: 0.5976, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.456, weighted_recall: 0.8798, number_of_instances: 19020, precision: 0.8795, predictive_accuracy: 0.8798, prior_entropy: 0.9355, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.626, unweighted_recall: 0.8544,