Run
10434938

Run 10434938

Task 168338 (Supervised Classification) riccardo Uploaded 24-12-2019 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_state62732
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
0.5721 ± 0.0111
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7186 ± 0.0091
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1968 ± 0.0264
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.0543 ± 0.0086
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.355 ± 0.0018
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.375
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.7612 ± 0.0061
Cross-validation details (10-fold Crossvalidation)
Number of instances
20000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7265 ± 0.0112
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7612 ± 0.0061
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8113
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9468 ± 0.0049
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.433
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4214 ± 0.0028
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9731 ± 0.0066
Cross-validation details (10-fold Crossvalidation)
Unweighted recall
0.578 ± 0.0111
Cross-validation details (10-fold Crossvalidation)