Run
22108

Run 22108

Task 34 (Supervised Classification) postoperative-patient-data Uploaded 21-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_RandomTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_RandomTree(1)_C3
weka.MultiBoostAB_RandomTree(1)_I80
weka.MultiBoostAB_RandomTree(1)_P100
weka.MultiBoostAB_RandomTree(1)_S1
weka.MultiBoostAB_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

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
0.4822
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5355
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.1633
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-4.1037
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2789
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
0.5013
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5778
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.0305
Cross-validation details (10-fold Crossvalidation)
Recall
0.5778
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9718
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3755
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5259
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.4006
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
942.1434[559.9488393771786999.1988959772265482.14720472367435910.53832226537881758.8835103978397]