Run
20913

Run 20913

Task 14 (Supervised Classification) mfeat-fourier 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)_I80
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
0.9391
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7861
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7639
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1363.9367
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0833
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
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
0.7881
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7875
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.7875
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4628
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.185
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6167
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
883.4187[552.6744499688575998.1637381656825482.7975877024999888.02163775787691495.4363109237709]