OpenML

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7914, kappa: 0.6215, kb_relative_information_score: 0.5705, mean_absolute_error: 0.1463, mean_prior_absolute_error: 0.3798, weighted_recall: 0.7805, number_of_instances: 3125, precision: 0.8029, predictive_accuracy: 0.7805, prior_entropy: 1.3181, relative_absolute_error: 0.3854, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.8783, unweighted_recall: 0.5906,

Takeaki Sakabe 2 years ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(25) on task Supervised Classification on data set balance-scale

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).

Takeaki Sakabe 2 years ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(25) on task Supervised Classification on data set balance-scale

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).

Takeaki Sakabe 2 years ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(25) on task Supervised Classification on data set balance-scale

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).

Takeaki Sakabe 2 years ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(25) on task Supervised Classification on data set balance-scale

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).

Takeaki Sakabe 2 years ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(25) on task Supervised Classification on data set balance-scale

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).

Takeaki Sakabe 2 years ago
ran flow sklearn.pipeline.Pipeline(impu ... oosting.AdaBoostClassifier)(2) on task Supervised Classification on data set balance-scale

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).

Takeaki Sakabe 2 years ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(25) on task Supervised Classification on data set balance-scale

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.7955, kappa: 0.6294, kb_relative_information_score: 0.5782, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.3798, weighted_recall: 0.7853, number_of_instances: 3125, precision: 0.8064, predictive_accuracy: 0.7853, prior_entropy: 1.3181, relative_absolute_error: 0.3769, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.8686, unweighted_recall: 0.5952,

Takeaki Sakabe 2 years ago
ran flow sklearn.pipeline.Pipeline(impu ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set balance-scale

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Takeaki Sakabe 2 years ago
ran flow sklearn.pipeline.Pipeline(impu ... r_perceptron.MLPClassifier)(2) on task Supervised Classification on data set balance-scale

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Takeaki Sakabe 2 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set balance-scale

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Takeaki Sakabe 2 years ago
ran flow sklearn.pipeline.Pipeline(impu ... oosting.AdaBoostClassifier)(2) on task Supervised Classification on data set balance-scale

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).

Takeaki Sakabe 2 years ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(25) on task Supervised Classification on data set balance-scale

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.7895, kappa: 0.6182, kb_relative_information_score: 0.5667, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.3798, weighted_recall: 0.7786, number_of_instances: 3125, precision: 0.8012, predictive_accuracy: 0.7786, prior_entropy: 1.3181, relative_absolute_error: 0.3887, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3842, root_relative_squared_error: 0.8821, unweighted_recall: 0.5869,

Takeaki Sakabe 2 years ago
ran flow sklearn.pipeline.Pipeline(impu ... del._perceptron.Perceptron)(1) on task Supervised Classification on data set balance-scale

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Takeaki Sakabe 2 years ago
ran flow sklearn.pipeline.Pipeline(impu ... r_perceptron.MLPClassifier)(2) on task Supervised Classification on data set balance-scale

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).

Takeaki Sakabe 2 years ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(25) on task Supervised Classification on data set balance-scale

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).

Takeaki Sakabe 2 years ago
ran flow sklearn.pipeline.Pipeline(impu ... del._ridge.RidgeClassifier)(1) on task Supervised Classification on data set balance-scale

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).

Takeaki Sakabe 2 years ago
ran flow sklearn.pipeline.Pipeline(impu ... t_centroid.NearestCentroid)(1) on task Supervised Classification on data set balance-scale

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).

Takeaki Sakabe 2 years ago
ran flow sklearn.pipeline.Pipeline(impu ... del._ridge.RidgeClassifier)(1) on task Supervised Classification on data set balance-scale

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).