Run
20391

Run 20391

Task 47 (Supervised Classification) tae Uploaded 18-06-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.6529
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5265
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2964
Cross-validation details (10-fold Crossvalidation)
KB relative information score
23.2719
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4071
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4443
Cross-validation details (10-fold Crossvalidation)
Number of instances
151
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
0.5387
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5298
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5845
Cross-validation details (10-fold Crossvalidation)
Recall
0.5298
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9162
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4713
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4542
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9636
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
937.0991[562.11430287262971009.6698621593916474.68690723372646908.01528932595751731.008996151473]