Run
10587762

Run 10587762

Task 11 (Supervised Classification) balance-scale Uploaded 17-04-2022 by Tan Tran
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.tree._classes.DecisionTreeClassifier(23)A decision tree classifier.
sklearn.tree._classes.DecisionTreeClassifier(23)_ccp_alpha0.0
sklearn.tree._classes.DecisionTreeClassifier(23)_class_weightnull
sklearn.tree._classes.DecisionTreeClassifier(23)_criterion"gini"
sklearn.tree._classes.DecisionTreeClassifier(23)_max_depthnull
sklearn.tree._classes.DecisionTreeClassifier(23)_max_featuresnull
sklearn.tree._classes.DecisionTreeClassifier(23)_max_leaf_nodesnull
sklearn.tree._classes.DecisionTreeClassifier(23)_min_impurity_decrease0.0
sklearn.tree._classes.DecisionTreeClassifier(23)_min_samples_leaf1
sklearn.tree._classes.DecisionTreeClassifier(23)_min_samples_split2
sklearn.tree._classes.DecisionTreeClassifier(23)_min_weight_fraction_leaf0.0
` for details">sklearn.tree._classes.DecisionTreeClassifier(23)_random_state64608
sklearn.tree._classes.DecisionTreeClassifier(23)_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
0.8349 ± 0.0251
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7903 ± 0.0281
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6117 ± 0.0616
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.5511 ± 0.0608
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1515 ± 0.027
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3798 ± 0.0012
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.7728 ± 0.0405
Cross-validation details (10-fold Crossvalidation)
Number of instances
625
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8089 ± 0.0271
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7728 ± 0.0405
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3181 ± 0.0124
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3988 ± 0.0708
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4356 ± 0.0014
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3892 ± 0.0366
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8935 ± 0.0835
Cross-validation details (10-fold Crossvalidation)
Unweighted recall
0.5647 ± 0.0303
Cross-validation details (10-fold Crossvalidation)