Run
18219

Run 18219

Task 42 (Supervised Classification) haberman Uploaded 10-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_NaiveBayes(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_NaiveBayes(1)_C3
weka.MultiBoostAB_NaiveBayes(1)_I20
weka.MultiBoostAB_NaiveBayes(1)_P100
weka.MultiBoostAB_NaiveBayes(1)_S1
weka.MultiBoostAB_NaiveBayes(1)_Wweka.classifiers.bayes.NaiveBayes

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.6405
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6985
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1776
Cross-validation details (10-fold Crossvalidation)
KB relative information score
86.2217
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2555
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.39
Cross-validation details (10-fold Crossvalidation)
Number of instances
306
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7042
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7418
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.836
Cross-validation details (10-fold Crossvalidation)
Recall
0.7418
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.655
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4412
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4746
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0758
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
926.454[557.8000386497777946.6740167297606471.5598802745526896.21881802907471760.017229859821]