Run
10434943

Run 10434943

Task 168912 (Supervised Classification) sylvine 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_state52777
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
0.9059 ± 0.0131
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.911 ± 0.0132
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8224 ± 0.0262
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.717 ± 0.0213
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1582 ± 0.0099
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.9112 ± 0.0131
Cross-validation details (10-fold Crossvalidation)
Number of instances
5124
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9141 ± 0.0124
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9112 ± 0.0131
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3164 ± 0.0198
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2824 ± 0.0184
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5648 ± 0.0368
Cross-validation details (10-fold Crossvalidation)
Unweighted recall
0.9112 ± 0.0131
Cross-validation details (10-fold Crossvalidation)