Run
17161

Run 17161

Task 15 (Supervised Classification) breast-w Uploaded 06-06-2014 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)_I80
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
0.9318
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9355
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8571
Cross-validation details (10-fold Crossvalidation)
KB relative information score
594.727
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0645
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.452
Cross-validation details (10-fold Crossvalidation)
Number of instances
699
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
0.9355
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9356
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9297
Cross-validation details (10-fold Crossvalidation)
Recall
0.9356
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1427
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4753
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2511
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5282
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
907.3518[557.7999961202322865.6581073265332475.52784454289576899.60191115807121738.1709066016394]