Run
15508

Run 15508

Task 55 (Supervised Classification) vote Uploaded 04-06-2014 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)_I10
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
0.9776
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9564
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9082
Cross-validation details (10-fold Crossvalidation)
KB relative information score
391.6727
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0464
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4742
Cross-validation details (10-fold Crossvalidation)
Number of instances
435
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
0.9566
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9563
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9627
Cross-validation details (10-fold Crossvalidation)
Recall
0.9563
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0979
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4869
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2089
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.429
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
942.6375[561.7522155508621012.0561783624415481.49857166643204902.38899339674911755.4913676401159]