Run
20168

Run 20168

Task 34 (Supervised Classification) postoperative-patient-data Uploaded 18-06-2014 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)_I20
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
0.4181
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5523
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.1175
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.6041
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2683
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
0.5234
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5889
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.0305
Cross-validation details (10-fold Crossvalidation)
Recall
0.5889
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9347
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3755
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5089
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3554
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
940.0086[562.1143028726297988.6890749395138482.36378704342826913.07564286738091753.799996626104]