Run
23316

Run 23316

Task 11 (Supervised Classification) balance-scale Uploaded 24-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_BFTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.BFTree(1)_Ctrue
weka.BFTree(1)_M2
weka.BFTree(1)_N5
weka.BFTree(1)_PPOSTPRUNED
weka.BFTree(1)_S1
weka.MultiBoostAB_BFTree(1)_C3
weka.MultiBoostAB_BFTree(1)_I20
weka.MultiBoostAB_BFTree(1)_P100
weka.MultiBoostAB_BFTree(1)_S1
weka.MultiBoostAB_BFTree(1)_Wweka.classifiers.trees.BFTree

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.

17 Evaluation measures

Area under ROC curve
0.9265
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.809
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6514
Cross-validation details (10-fold Crossvalidation)
KB relative information score
368.1608
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1331
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3798
Cross-validation details (10-fold Crossvalidation)
Number of instances
625
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8204
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7984
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3212
Cross-validation details (10-fold Crossvalidation)
Recall
0.7984
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3506
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4356
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3514
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8067
Cross-validation details (10-fold Crossvalidation)