DEVELOPMENT... OpenML
Run
80936

Run 80936

Task 37 (Supervised Classification) diabetes Uploaded 02-12-2014 by Felicia West
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Flow

weka.Bagging_REPTree(3)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(3)_I20
weka.Bagging_REPTree(3)_P100
weka.Bagging_REPTree(3)_S1
weka.Bagging_REPTree(3)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(3)_num-slots1
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_V0.001

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.8345
Per class
Build CPU time
0.0993
Build memory
343497656.1042
F measure
0.7577
Per class
Kappa
0.4588
KB relative information score
255.6415
Mean absolute error
0.3086
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
0.7574
Per class
Predictive accuracy
0.763
Prior entropy
0.9335
Recall
0.763
Per class
Relative absolute error
0.679
Root mean prior squared error
0.4766
Root mean squared error
0.3953
Root relative squared error
0.8293
SciMark benchmark
943.4766