DEVELOPMENT... OpenML
Run
13037

Run 13037

Task 37 (Supervised Classification) diabetes 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)_I40
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
0.8333
Per class
F measure
0.7574
Per class
Kappa
0.4578
KB relative information score
254.5093
Mean absolute error
0.3094
Mean prior absolute error
0.4545
Number of instances
768
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7573
Per class
Predictive accuracy
0.763
Prior entropy
0.9335
Recall
0.763
Per class
Relative absolute error
0.6807
Root mean prior squared error
0.4766
Root mean squared error
0.3956
Root relative squared error
0.83
SciMark benchmark
947.3814[565.76084051053911015.7906865781697482.58056402979616912.75766683510371760.0170946291457]