Run
10434879

Run 10434879

Task 9952 (Supervised Classification) phoneme Uploaded 23-12-2019 by Peng YU
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Flow

sklearn.tree._classes.DecisionTreeClassifier(2)A decision tree classifier.
sklearn.tree._classes.DecisionTreeClassifier(2)_ccp_alpha0.0
sklearn.tree._classes.DecisionTreeClassifier(2)_class_weightnull
sklearn.tree._classes.DecisionTreeClassifier(2)_criterion"gini"
sklearn.tree._classes.DecisionTreeClassifier(2)_max_depth1
sklearn.tree._classes.DecisionTreeClassifier(2)_max_featuresnull
sklearn.tree._classes.DecisionTreeClassifier(2)_max_leaf_nodesnull
sklearn.tree._classes.DecisionTreeClassifier(2)_min_impurity_decrease0.0
sklearn.tree._classes.DecisionTreeClassifier(2)_min_impurity_splitnull
sklearn.tree._classes.DecisionTreeClassifier(2)_min_samples_leaf1
sklearn.tree._classes.DecisionTreeClassifier(2)_min_samples_split2
sklearn.tree._classes.DecisionTreeClassifier(2)_min_weight_fraction_leaf0.0
sklearn.tree._classes.DecisionTreeClassifier(2)_presort"deprecated"
sklearn.tree._classes.DecisionTreeClassifier(2)_random_state13886
sklearn.tree._classes.DecisionTreeClassifier(2)_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.

18 Evaluation measures

Area under ROC curve
0.7345 ± 0.0241
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7603 ± 0.0181
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4471 ± 0.0423
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.2071 ± 0.0235
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3277 ± 0.0067
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4147 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.7531 ± 0.0187
Cross-validation details (10-fold Crossvalidation)
Number of instances
5404
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7764 ± 0.0192
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7531 ± 0.0187
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8732 ± 0.001
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7902 ± 0.0158
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4554 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4058 ± 0.0105
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8912 ± 0.0227
Cross-validation details (10-fold Crossvalidation)
Unweighted recall
0.7407 ± 0.0241
Cross-validation details (10-fold Crossvalidation)