Run
9954277

Run 9954277

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))(3)Automatically created scikit-learn flow.
sklearn.preprocessing.data.StandardScaler(16)_copytrue
sklearn.preprocessing.data.StandardScaler(16)_with_meanfalse
sklearn.preprocessing.data.StandardScaler(16)_with_stdtrue
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)(10)_algorithm"SAMME.R"
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)(10)_learning_rate1.0
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)(10)_n_estimators50
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)(10)_random_state60643
sklearn.tree.tree.DecisionTreeClassifier(31)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(31)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(31)_max_depthnull
sklearn.tree.tree.DecisionTreeClassifier(31)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(31)_max_leaf_nodesnull
sklearn.tree.tree.DecisionTreeClassifier(31)_min_impurity_split1e-07
sklearn.tree.tree.DecisionTreeClassifier(31)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(31)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(31)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(31)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(31)_random_state59175
sklearn.tree.tree.DecisionTreeClassifier(31)_splitter"best"

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

0.8969 ± 0.0213
Per class
0.8124 ± 0.0389
Per class
0.7938 ± 0.0425
7970.2288 ± 3.9773
0.0341 ± 0.007
0.1653
9900
Per class
0.8125 ± 0.0376
Per class
0.8125 ± 0.0386
3.4594
0.8125 ± 0.0386
Per class
0.2062 ± 0.0425
0.2875
0.1846 ± 0.019
0.6422 ± 0.0661