Run
17364

Run 17364

Task 30 (Supervised Classification) page-blocks Uploaded 08-06-2014 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)_I10
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
0.9117
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9152
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5588
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1415.7471
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0471
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0762
Cross-validation details (10-fold Crossvalidation)
Number of instances
5473
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
0.9384
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9021
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6391
Cross-validation details (10-fold Crossvalidation)
Recall
0.9021
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6181
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1949
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.188
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9648
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
948.7231[566.31191013187331015.7907504114269483.6674820550281914.98778054938791762.8577294742872]