Run
1673611

Run 1673611

Task 3972 (Supervised Classification) OVA_Uterus Uploaded 22-07-2016 by Jan van Rijn
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Flow

weka.AdaBoostM1_NaiveBayes(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.AdaBoostM1_NaiveBayes(3)_P100
weka.AdaBoostM1_NaiveBayes(3)_S1
weka.AdaBoostM1_NaiveBayes(3)_I10
weka.AdaBoostM1_NaiveBayes(3)_Wweka.classifiers.bayes.NaiveBayes

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
0.9059
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9091
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4709
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-20.3337
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1041
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1481
Cross-validation details (10-fold Crossvalidation)
Number of instances
1545
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9279
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8977
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.405
Cross-validation details (10-fold Crossvalidation)
Recall
0.8977
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7029
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2717
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.299
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1006
Cross-validation details (10-fold Crossvalidation)