Run
19531

Run 19531

Task 30 (Supervised Classification) page-blocks Uploaded 16-06-2014 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)_I40
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
0.9741
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9727
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8556
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4437.4932
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0116
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
0.9725
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9731
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6391
Cross-validation details (10-fold Crossvalidation)
Recall
0.9731
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1519
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1949
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0979
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5023
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
935.8091[549.54020994765531009.6698621593916480.2065271424506901.45804913259251738.1710384960516]