Run
10434884

Run 10434884

Task 9977 (Supervised Classification) nomao 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_state10344
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
0.8348 ± 0.008
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.855 ± 0.0049
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6497 ± 0.0123
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.4488 ± 0.0087
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2344 ± 0.0027
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4081 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.8532 ± 0.0049
Cross-validation details (10-fold Crossvalidation)
Number of instances
34465
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8581 ± 0.0053
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8532 ± 0.0049
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.863 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5745 ± 0.0068
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4517 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3429 ± 0.0049
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7591 ± 0.0108
Cross-validation details (10-fold Crossvalidation)
Unweighted recall
0.8336 ± 0.008
Cross-validation details (10-fold Crossvalidation)