Run
1843169

Run 1843169

Task 125969 (Supervised Classification) SpeedDating Uploaded 05-12-2016 by Laurence Keijzer
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_NaiveBayesUpdateable(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_NaiveBayesUpdateable(1)_P100
weka.Bagging_NaiveBayesUpdateable(1)_S1
weka.Bagging_NaiveBayesUpdateable(1)_num-slots1
weka.Bagging_NaiveBayesUpdateable(1)_I10
weka.Bagging_NaiveBayesUpdateable(1)_Wweka.classifiers.bayes.NaiveBayesUpdateable

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
0.8311
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.2807
Cross-validation details (10-fold Crossvalidation)
F measure
0.788
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3691
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-726.4197
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2401
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2752
Cross-validation details (10-fold Crossvalidation)
Number of instances
8378
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8459
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7625
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6457
Cross-validation details (10-fold Crossvalidation)
Recall
0.7625
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8725
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3709
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4525
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2199
Cross-validation details (10-fold Crossvalidation)
Total cost
2352
Cross-validation details (10-fold Crossvalidation)