Run
1810124

Run 1810124

Task 3529 (Supervised Classification) oh5.wc Uploaded 27-07-2016 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
0.9323
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8505
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8317
Cross-validation details (10-fold Crossvalidation)
KB relative information score
757.7571
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0347
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1775
Cross-validation details (10-fold Crossvalidation)
Number of instances
918
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8533
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8508
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.2382
Cross-validation details (10-fold Crossvalidation)
Recall
0.8508
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1956
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2979
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1596
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5356
Cross-validation details (10-fold Crossvalidation)