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Run
10284

Run 10284

Task 34 (Supervised Classification) postoperative-patient-data Uploaded 22-05-2014 by Felicia West
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Flow

weka.Bagging_REPTree(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(1)_I10
weka.Bagging_REPTree(1)_P100
weka.Bagging_REPTree(1)_S1
weka.Bagging_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(1)_num-slots1
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
0.4133
Per class
F measure
0.5856
Per class
Kappa
-0.021
KB relative information score
-0.3665
Mean absolute error
0.2804
Mean prior absolute error
0.2871
Number of instances
90
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5034
Per class
Predictive accuracy
0.7
Prior entropy
1.0305
Recall
0.7
Per class
Relative absolute error
0.9767
Root mean prior squared error
0.3755
Root mean squared error
0.3907
Root relative squared error
1.0404
SciMark benchmark
921.1666[561.029481566851884.7360108471075484.10363182779514915.94689394904971760.0170946291457]