Run
20112

Run 20112

Task 34 (Supervised Classification) postoperative-patient-data Uploaded 18-06-2014 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)_I160
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
0.3708
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5801
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0413
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-9.5806
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3147
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
0.501
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6889
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.0305
Cross-validation details (10-fold Crossvalidation)
Recall
0.6889
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0962
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3755
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3992
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0631
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
943.9685[561.7522155508621014.1868590421574481.49857166643204910.85475360997441751.5501218345944]