Run
24186

Run 24186

Task 30 (Supervised Classification) page-blocks Uploaded 01-07-2014 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
0.9456
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9716
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8502
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4396.0217
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.011
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0762
Cross-validation details (10-fold Crossvalidation)
Number of instances
5473
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
0.9713
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.972
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6391
Cross-validation details (10-fold Crossvalidation)
Recall
0.972
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1443
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1949
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1038
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5327
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
888.6132[535.5359706304147961.5543055220107457.49542741942486862.5995295771621625.8807341626664]