Run
9954271

Run 9954271

Task 115 (Learning Curve) vowel Uploaded 09-01-2019 by Continuous Integration
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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_state3142
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_state39004
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

0.8984 ± 0.0204
Per class
0.8152 ± 0.038
Per class
0.7968 ± 0.0408
7998.3019 ± 3.8175
0.0336 ± 0.0067
0.1653
9900
Per class
0.8153 ± 0.0367
Per class
0.8153 ± 0.0371
3.4594
0.8153 ± 0.0371
Per class
0.2032 ± 0.0408
0.2875
0.1833 ± 0.0186
0.6375 ± 0.0647