Run
18188

Run 18188

Task 34 (Supervised Classification) postoperative-patient-data Uploaded 10-06-2014 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)_I40
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

Area under ROC curve
0.3951
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5731
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0714
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.11
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.266
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2871
Cross-validation details (10-fold Crossvalidation)
Number of instances
90
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
0.5464
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6111
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.0305
Cross-validation details (10-fold Crossvalidation)
Recall
0.6111
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9268
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3755
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4965
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3222
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
937.6553[564.47914364638121012.5880246437401447.9523532241756908.32981910425011754.9271701211055]