Run
24584

Run 24584

Task 5 (Supervised Classification) arrhythmia Uploaded 12-07-2014 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
0.7944
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6525
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4937
Cross-validation details (10-fold Crossvalidation)
KB relative information score
124.1518
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0762
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0855
Cross-validation details (10-fold Crossvalidation)
Number of instances
452
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
0.6526
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6571
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.5222
Cross-validation details (10-fold Crossvalidation)
Recall
0.6571
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8905
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2055
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1875
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9126
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
596.176[345.25744738625656902.1324283259146242.48912160685595525.7601219234152965.2409580589496]