Run
10587939

Run 10587939

Task 4296 (Supervised Classification) bank8FM Uploaded 12-09-2022 by PAVAN KUMAR PERUGU
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.tree._classes.DecisionTreeClassifier(25)A decision tree classifier.
sklearn.tree._classes.DecisionTreeClassifier(25)_ccp_alpha0.0
sklearn.tree._classes.DecisionTreeClassifier(25)_class_weightnull
sklearn.tree._classes.DecisionTreeClassifier(25)_criterion"gini"
sklearn.tree._classes.DecisionTreeClassifier(25)_max_depthnull
sklearn.tree._classes.DecisionTreeClassifier(25)_max_featuresnull
sklearn.tree._classes.DecisionTreeClassifier(25)_max_leaf_nodesnull
sklearn.tree._classes.DecisionTreeClassifier(25)_min_impurity_decrease0.0
sklearn.tree._classes.DecisionTreeClassifier(25)_min_samples_leaf1
sklearn.tree._classes.DecisionTreeClassifier(25)_min_samples_split2
sklearn.tree._classes.DecisionTreeClassifier(25)_min_weight_fraction_leaf0.0
` for details">sklearn.tree._classes.DecisionTreeClassifier(25)_random_state0
sklearn.tree._classes.DecisionTreeClassifier(25)_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
0.9111 ± 0.0099
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9146 ± 0.0092
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.8227 ± 0.0191
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
0.8198 ± 0.0193
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0853 ± 0.0092
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4815 ± 0.0001
Cross-validation details (10 times 10-fold Crossvalidation)
Weighted recall
0.9147 ± 0.0092
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
81920
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Precision
0.9146 ± 0.0092
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9147 ± 0.0092
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9731 ± 0.0003
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.1773 ± 0.019
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4906 ± 0.0001
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.2921 ± 0.0158
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.5954 ± 0.0322
Cross-validation details (10 times 10-fold Crossvalidation)
Unweighted recall
0.9111 ± 0.0099
Cross-validation details (10 times 10-fold Crossvalidation)