DEVELOPMENT... OpenML
Run
10354

Run 10354

Task 50 (Supervised Classification) heart-h 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)_I70
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
0.8829
Per class
F measure
0.803
Per class
Kappa
0.568
KB relative information score
123.0169
Mean absolute error
0.1063
Mean prior absolute error
0.1867
Number of instances
294
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8034
Per class
Predictive accuracy
0.8061
Prior entropy
1.0314
Recall
0.8061
Per class
Relative absolute error
0.5691
Root mean prior squared error
0.3037
Root mean squared error
0.2283
Root relative squared error
0.7517
SciMark benchmark
947.8683[566.4958240211141014.1868590421574483.0147548568529915.62691531260941760.017229859821]