Run
1672473

Run 1672473

Task 9964 (Supervised Classification) semeion Uploaded 20-07-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_NaiveBayes(9)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_NaiveBayes(9)_P100
weka.Bagging_NaiveBayes(9)_S1
weka.Bagging_NaiveBayes(9)_num-slots1
weka.Bagging_NaiveBayes(9)_I10
weka.Bagging_NaiveBayes(9)_Wweka.classifiers.bayes.NaiveBayes

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.9708
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8674
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8507
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1374.8341
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0291
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
1593
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.872
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8657
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.8657
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1617
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1539
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5129
Cross-validation details (10-fold Crossvalidation)