Run
20348

Run 20348

Task 4 (Supervised Classification) labor Uploaded 18-06-2014 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)_I40
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
0.9736
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9477
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8858
Cross-validation details (10-fold Crossvalidation)
KB relative information score
49.7781
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0545
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.457
Cross-validation details (10-fold Crossvalidation)
Number of instances
57
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
0.9486
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9474
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9393
Cross-validation details (10-fold Crossvalidation)
Recall
0.9474
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1193
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4773
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2273
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4764
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
943.6711[559.94883937717861014.1868590421574482.58056402979616903.32186243855711758.3172656914378]