Run
18685

Run 18685

Task 5 (Supervised Classification) arrhythmia Uploaded 11-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_REPTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_REPTree(1)_C3
weka.MultiBoostAB_REPTree(1)_I20
weka.MultiBoostAB_REPTree(1)_P100
weka.MultiBoostAB_REPTree(1)_S1
weka.MultiBoostAB_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

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
0.8229
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6568
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5059
Cross-validation details (10-fold Crossvalidation)
KB relative information score
132.642
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0709
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
0.6329
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6947
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.5222
Cross-validation details (10-fold Crossvalidation)
Recall
0.6947
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8288
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2055
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1815
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8831
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
932.2108[567.6019088782145948.5380384874875481.28276544297296906.44537908266061757.1857345400422]