Run
10434933

Run 10434933

Task 168337 (Supervised Classification) guillermo 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_state40067
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
0.5825 ± 0.0137
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6126 ± 0.0134
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1853 ± 0.0283
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.0421 ± 0.0069
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4631 ± 0.0023
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4801 ± 0
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.6207 ± 0.0131
Cross-validation details (10-fold Crossvalidation)
Number of instances
20000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6111 ± 0.0139
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6207 ± 0.0131
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.971 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9648 ± 0.0048
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4899 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4813 ± 0.0027
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9823 ± 0.0055
Cross-validation details (10-fold Crossvalidation)
Unweighted recall
0.5898 ± 0.0137
Cross-validation details (10-fold Crossvalidation)