Run
10560800

Run 10560800

Task 9914 (Supervised Classification) wilt Uploaded 07-09-2021 by Prince Mishra
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Flow

sklearn.tree._classes.DecisionTreeClassifier(20)A decision tree classifier.
sklearn.tree._classes.DecisionTreeClassifier(20)_ccp_alpha0.0
sklearn.tree._classes.DecisionTreeClassifier(20)_class_weightnull
sklearn.tree._classes.DecisionTreeClassifier(20)_criterion"entropy"
sklearn.tree._classes.DecisionTreeClassifier(20)_max_depth9
sklearn.tree._classes.DecisionTreeClassifier(20)_max_features5
sklearn.tree._classes.DecisionTreeClassifier(20)_max_leaf_nodesnull
sklearn.tree._classes.DecisionTreeClassifier(20)_min_impurity_decrease0.0
sklearn.tree._classes.DecisionTreeClassifier(20)_min_impurity_splitnull
sklearn.tree._classes.DecisionTreeClassifier(20)_min_samples_leaf4
sklearn.tree._classes.DecisionTreeClassifier(20)_min_samples_split2
sklearn.tree._classes.DecisionTreeClassifier(20)_min_weight_fraction_leaf0.0
` for details">sklearn.tree._classes.DecisionTreeClassifier(20)_random_state26320
sklearn.tree._classes.DecisionTreeClassifier(20)_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
0.9376 ± 0.0303
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9793 ± 0.005
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7955 ± 0.0525
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.6658 ± 0.0806
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0226 ± 0.0045
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1022 ± 0.0006
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.9795 ± 0.0049
Cross-validation details (10-fold Crossvalidation)
Number of instances
4839
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9792 ± 0.0053
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9795 ± 0.0049
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3029 ± 0.0027
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.221 ± 0.0443
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2259 ± 0.0013
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1322 ± 0.0146
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5853 ± 0.0663
Cross-validation details (10-fold Crossvalidation)
Unweighted recall
0.8898 ± 0.0421
Cross-validation details (10-fold Crossvalidation)