DEVELOPMENT... OpenML
Run
7217

Run 7217

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)_I100
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
0.8343
Per class
F measure
0.7574
Per class
Kappa
0.4578
KB relative information score
252.3979
Mean absolute error
0.3103
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
0.6827
Root mean prior squared error
0.4766
Root mean squared error
0.3947
Root relative squared error
0.8282
SciMark benchmark
948.0166[566.4958240211141015.2555353338006484.10363182779514913.07556704216551761.1524117823017]