Run
10591670

Run 10591670

Task 3492 (Supervised Classification) monks-problems-1 Uploaded 21-10-2022 by Lucas Maertens
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_state62144
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
0.9604 ± 0.0276
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9604 ± 0.0277
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9209 ± 0.0553
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.9209 ± 0.0553
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0396 ± 0.0276
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.9604 ± 0.0276
Cross-validation details (10-fold Crossvalidation)
Number of instances
556
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9605 ± 0.0263
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9604 ± 0.0276
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0791 ± 0.0553
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1989 ± 0.0997
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3978 ± 0.1993
Cross-validation details (10-fold Crossvalidation)
Unweighted recall
0.9604 ± 0.0276
Cross-validation details (10-fold Crossvalidation)