Run
1810273

Run 1810273

Task 3962 (Supervised Classification) OVA_Breast Uploaded 27-07-2016 by Jan van Rijn
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Flow

weka.AdaBoostM1_J48(3)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.J48(33)_C0.25
weka.J48(33)_M2
weka.AdaBoostM1_J48(3)_P100
weka.AdaBoostM1_J48(3)_S1
weka.AdaBoostM1_J48(3)_I10
weka.AdaBoostM1_J48(3)_Wweka.classifiers.trees.J48

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
0.9603
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9668
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9033
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1381.6588
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0315
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3464
Cross-validation details (10-fold Crossvalidation)
Number of instances
1545
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9667
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.967
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7656
Cross-validation details (10-fold Crossvalidation)
Recall
0.967
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0909
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.416
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1736
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4173
Cross-validation details (10-fold Crossvalidation)