Run
23019

Run 23019

Task 23 (Supervised Classification) cmc Uploaded 23-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_RandomTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_RandomTree(1)_C3
weka.MultiBoostAB_RandomTree(1)_I20
weka.MultiBoostAB_RandomTree(1)_P100
weka.MultiBoostAB_RandomTree(1)_S1
weka.MultiBoostAB_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

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
0.6433
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4965
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2201
Cross-validation details (10-fold Crossvalidation)
KB relative information score
408.7696
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3362
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4308
Cross-validation details (10-fold Crossvalidation)
Number of instances
1473
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
0.4949
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.499
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5392
Cross-validation details (10-fold Crossvalidation)
Recall
0.499
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7805
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4641
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5665
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2207
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
926.7455[553.3758462698278982.388457924644472.597618329697879.97311830683271745.3925929109241]