DEVELOPMENT... OpenML
Run
78765

Run 78765

Task 37 (Supervised Classification) diabetes Uploaded 01-12-2014 by Felicia West
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Flow

weka.Bagging_RandomTree(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_RandomTree(2)_I160
weka.Bagging_RandomTree(2)_P100
weka.Bagging_RandomTree(2)_S1
weka.Bagging_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.Bagging_RandomTree(2)_num-slots1
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_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
0.8312
Per class
Build CPU time
0.5214
Build memory
1095751635.25
F measure
0.7751
Per class
Kappa
0.5009
KB relative information score
259.6606
Mean absolute error
0.3047
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
0.7741
Per class
Predictive accuracy
0.7773
Prior entropy
0.9335
Recall
0.7773
Per class
Relative absolute error
0.6704
Root mean prior squared error
0.4766
Root mean squared error
0.3974
Root relative squared error
0.8337
SciMark benchmark
874.7213