Run
1666253

Run 1666253

Task 3021 (Supervised Classification) sick 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
0.945
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9868
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.883
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3055.5584
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0152
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1152
Cross-validation details (10-fold Crossvalidation)
Number of instances
3772
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9867
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.987
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3333
Cross-validation details (10-fold Crossvalidation)
Recall
0.987
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1319
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2398
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1119
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4669
Cross-validation details (10-fold Crossvalidation)