Run
9204548

Run 9204548

Task 3022 (Supervised Classification) vowel Uploaded 17-09-2018 by Roel Zinkstok
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer, decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier)(6)Automatically created scikit-learn flow.
sklearn.preprocessing.imputation.Imputer(26)_axis0
sklearn.preprocessing.imputation.Imputer(26)_copytrue
sklearn.preprocessing.imputation.Imputer(26)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(26)_strategy"mean"
sklearn.preprocessing.imputation.Imputer(26)_verbose0
sklearn.tree.tree.DecisionTreeClassifier(27)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(27)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(27)_max_depthnull
sklearn.tree.tree.DecisionTreeClassifier(27)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(27)_max_leaf_nodesnull
sklearn.tree.tree.DecisionTreeClassifier(27)_min_impurity_decrease0.0
sklearn.tree.tree.DecisionTreeClassifier(27)_min_impurity_splitnull
sklearn.tree.tree.DecisionTreeClassifier(27)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(27)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(27)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(27)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(27)_random_state56044
sklearn.tree.tree.DecisionTreeClassifier(27)_splitter"best"
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier)(6)_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

Area under ROC curve
0.8994 ± 0.0213
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.817 ± 0.0395
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7989 ± 0.0427
Cross-validation details (10-fold Crossvalidation)
KB relative information score
801.8057 ± 3.9955
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0332 ± 0.0071
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1653
Cross-validation details (10-fold Crossvalidation)
Number of instances
990
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8178 ± 0.0352
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8172 ± 0.0388
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.4594
Cross-validation details (10-fold Crossvalidation)
Recall
0.8172 ± 0.0388
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2011 ± 0.0427
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2875
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1823 ± 0.0197
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6342 ± 0.0685
Cross-validation details (10-fold Crossvalidation)