Run
1810136

Run 1810136

Task 3973 (Supervised Classification) OVA_Omentum 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
0.7932
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9492
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4271
Cross-validation details (10-fold Crossvalidation)
KB relative information score
69.4284
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0641
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0952
Cross-validation details (10-fold Crossvalidation)
Number of instances
1545
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9469
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9528
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.2882
Cross-validation details (10-fold Crossvalidation)
Recall
0.9528
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6734
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2176
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1966
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9036
Cross-validation details (10-fold Crossvalidation)