Run
1669343

Run 1669343

Task 3485 (Supervised Classification) scene 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_DecisionStump(3)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_DecisionStump(3)_P100
weka.Bagging_DecisionStump(3)_S1
weka.Bagging_DecisionStump(3)_num-slots1
weka.Bagging_DecisionStump(3)_I10
weka.Bagging_DecisionStump(3)_Wweka.classifiers.trees.DecisionStump

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
0.757
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7402
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-175.6752
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2703
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2942
Cross-validation details (10-fold Crossvalidation)
Number of instances
2407
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6739
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8209
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6786
Cross-validation details (10-fold Crossvalidation)
Recall
0.8209
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9188
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3834
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3634
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9478
Cross-validation details (10-fold Crossvalidation)