Run
1810183

Run 1810183

Task 3561 (Supervised Classification) profb Uploaded 27-07-2016 by Jan van Rijn
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Flow

weka.ADTree(7)Freund, Y., Mason, L.: The alternating decision tree learning algorithm. In: Proceeding of the Sixteenth International Conference on Machine Learning, Bled, Slovenia, 124-133, 1999.
weka.ADTree(7)_B10
weka.ADTree(7)_E-3
weka.ADTree(7)_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
0.6426
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6282
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1391
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-8.9707
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4407
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4446
Cross-validation details (10-fold Crossvalidation)
Number of instances
672
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.629
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6622
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9188
Cross-validation details (10-fold Crossvalidation)
Recall
0.6622
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9911
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4635
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9832
Cross-validation details (10-fold Crossvalidation)