Run
23800

Run 23800

Task 34 (Supervised Classification) postoperative-patient-data Uploaded 27-06-2014 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.

19 Evaluation measures

0.4193
Per class
Cross-validation details (10-fold Crossvalidation)
0.5692
Per class
Cross-validation details (10-fold Crossvalidation)
-0.0753
Cross-validation details (10-fold Crossvalidation)
5.9195
Cross-validation details (10-fold Crossvalidation)
0.2452
Cross-validation details (10-fold Crossvalidation)
0.2871
Cross-validation details (10-fold Crossvalidation)
90
Per class
Cross-validation details (10-fold Crossvalidation)
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
0.5274
Per class
Cross-validation details (10-fold Crossvalidation)
0.6333
Cross-validation details (10-fold Crossvalidation)
1.0305
Cross-validation details (10-fold Crossvalidation)
0.6333
Per class
Cross-validation details (10-fold Crossvalidation)
0.8543
Cross-validation details (10-fold Crossvalidation)
0.3755
Cross-validation details (10-fold Crossvalidation)
0.4747
Cross-validation details (10-fold Crossvalidation)
1.2643
Cross-validation details (10-fold Crossvalidation)
939.2938[554.60752005669281011.2594872886406475.10695365338415903.94479785969181751.5501218345944]