Run
9954269

Run 9954269

Task 115 (Learning Curve) vowel Uploaded 09-01-2019 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))(1)Automatically created scikit-learn flow.
sklearn.preprocessing.data.StandardScaler(14)_copytrue
sklearn.preprocessing.data.StandardScaler(14)_with_meanfalse
sklearn.preprocessing.data.StandardScaler(14)_with_stdtrue
sklearn.tree.tree.DecisionTreeClassifier(29)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(29)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(29)_max_depthnull
sklearn.tree.tree.DecisionTreeClassifier(29)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(29)_max_leaf_nodesnull
sklearn.tree.tree.DecisionTreeClassifier(29)_min_impurity_decrease0.0
sklearn.tree.tree.DecisionTreeClassifier(29)_min_impurity_splitnull
sklearn.tree.tree.DecisionTreeClassifier(29)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(29)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(29)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(29)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(29)_random_state46121
sklearn.tree.tree.DecisionTreeClassifier(29)_splitter"best"
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)(8)_algorithm"SAMME.R"
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)(8)_learning_rate1.0
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)(8)_n_estimators50
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)(8)_random_state21574
sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,boosting=sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier))(1)_memorynull

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

0.8998 ± 0.0202
Per class
0.8178 ± 0.0371
Per class
0.7997 ± 0.0403
8025.3354 ± 3.772
0.0331 ± 0.0067
0.1653
9900
Per class
0.818 ± 0.0357
Per class
0.8179 ± 0.0366
3.4594
0.8179 ± 0.0366
Per class
0.2003 ± 0.0403
0.2875
0.182 ± 0.0183
0.633 ± 0.0636