Run
61360

Run 61360

Task 1736 (Learning Curve) diabetes Uploaded 16-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.Bagging_BFTree(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.BFTree(2)_Ctrue
weka.BFTree(2)_M2
weka.BFTree(2)_N5
weka.BFTree(2)_PPOSTPRUNED
weka.BFTree(2)_S1
weka.Bagging_BFTree(2)_I10
weka.Bagging_BFTree(2)_P100
weka.Bagging_BFTree(2)_S1
weka.Bagging_BFTree(2)_Wweka.classifiers.trees.BFTree
weka.Bagging_BFTree(2)_num-slots1

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
0.8114 ± 0.0445
Per class
Build CPU time
0.118
Build memory
737372052.9
F measure
0.7551 ± 0.0449
Per class
Kappa
0.4543 ± 0.106
KB relative information score
0.3373 ± 0.0615
Mean absolute error
0.303 ± 0.0255
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
768
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.754 ± 0.0419
Per class
Predictive accuracy
0.7591 ± 0.0372
Prior entropy
0.9331 ± 0.0046
Recall
0.7591 ± 0.0372
Per class
Relative absolute error
0.6667 ± 0.0555
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.4113 ± 0.0283
Root relative squared error
0.8629 ± 0.059
SciMark benchmark
1567.5641