Run
21989

Run 21989

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

weka.AdaBoostM1_RandomTree(1)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_RandomTree(1)_I10
weka.AdaBoostM1_RandomTree(1)_P100
weka.AdaBoostM1_RandomTree(1)_S1
weka.AdaBoostM1_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
0.461
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5704
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0635
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-1.6244
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2721
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
0.5406
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
0.9479
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3755
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4907
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3068
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
944.4405[562.47685727503151009.9344946043965483.0147548568529909.59057174132591757.1857345400422]