Run
15798

Run 15798

Task 40 (Supervised Classification) glass Uploaded 04-06-2014 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)_I160
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
0.6795
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.438
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3112
Cross-validation details (10-fold Crossvalidation)
KB relative information score
33.1628
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2075
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2116
Cross-validation details (10-fold Crossvalidation)
Number of instances
214
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
0.4874
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4766
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2315
Cross-validation details (10-fold Crossvalidation)
Recall
0.4766
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9805
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3244
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3449
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0631
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
928.8971[562.6582450035781950.1750545949076483.0147548568529896.52530019499931752.1121496976039]