Run
1666248

Run 1666248

Task 3019 (Supervised Classification) Australian Uploaded 20-07-2016 by Jan van Rijn
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Flow

weka.BFTree(4)Haijian Shi (2007). Best-first decision tree learning. Hamilton, NZ. Jerome Friedman, Trevor Hastie, Robert Tibshirani (2000). Additive logistic regression : A statistical view of boosting. Annals of statistics. 28(2):337-407.
weka.BFTree(4)_PPOSTPRUNED
weka.BFTree(4)_M2
weka.BFTree(4)_N5
weka.BFTree(4)_Ctrue
weka.BFTree(4)_S1

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
0.89
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8437
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6841
Cross-validation details (10-fold Crossvalidation)
KB relative information score
434.3145
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.191
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8443
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8435
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8435
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3867
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.353
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7104
Cross-validation details (10-fold Crossvalidation)