Run
9954276

Run 9954276

Task 115 (Learning Curve) vowel Uploaded 10-01-2019 by Continuous Integration
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Flow

sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler, boosting=sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator =sklearn.tree.tree.DecisionTreeClassifier))(2)Automatically created scikit-learn flow.
sklearn.tree.tree.DecisionTreeClassifier(28)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(28)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(28)_max_depthnull
sklearn.tree.tree.DecisionTreeClassifier(28)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(28)_max_leaf_nodesnull
sklearn.tree.tree.DecisionTreeClassifier(28)_min_impurity_decrease0.0
sklearn.tree.tree.DecisionTreeClassifier(28)_min_impurity_splitnull
sklearn.tree.tree.DecisionTreeClassifier(28)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(28)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(28)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(28)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(28)_random_state56801
sklearn.tree.tree.DecisionTreeClassifier(28)_splitter"best"
sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,boosting=sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier))(2)_memorynull
sklearn.preprocessing.data.StandardScaler(15)_copytrue
sklearn.preprocessing.data.StandardScaler(15)_with_meanfalse
sklearn.preprocessing.data.StandardScaler(15)_with_stdtrue
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)(9)_algorithm"SAMME.R"
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)(9)_learning_rate1.0
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)(9)_n_estimators50
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)(9)_random_state30262

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

0.8996 ± 0.0187
Per class
0.8172 ± 0.0345
Per class
0.7992 ± 0.0373
8021.1764 ± 3.4949
0.0332 ± 0.0062
0.1653
9900
Per class
0.8173 ± 0.0347
Per class
0.8175 ± 0.034
3.4594
0.8175 ± 0.034
Per class
0.2008 ± 0.0373
0.2875
0.1822 ± 0.0169
0.6337 ± 0.0589