Run
52949

Run 52949

Task 1736 (Learning Curve) diabetes Uploaded 07-11-2014 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.BFTree(2)Haijian Shi (2007). Best-first decision tree learning. Hamilton, NZ. Jerome Friedman, Trevor Hastie, Robert Tibshirani (2000). Additive logistic regression : A statistical view of boosting. Annals of statistics. 28(2):337-407.
weka.BFTree(2)_Ctrue
weka.BFTree(2)_M2
weka.BFTree(2)_N5
weka.BFTree(2)_PPOSTPRUNED
weka.BFTree(2)_S1

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
0.715 ± 0.0464
Per class
Build CPU time
0.0118
Build memory
796382360.5
F measure
0.7426 ± 0.0366
Per class
Kappa
0.4245 ± 0.0808
KB relative information score
0.2759 ± 0.0699
Mean absolute error
0.3349 ± 0.0316
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
768
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.742 ± 0.0404
Per class
Predictive accuracy
0.7487 ± 0.036
Prior entropy
0.9331 ± 0.0046
Recall
0.7487 ± 0.036
Per class
Relative absolute error
0.7369 ± 0.0681
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.4433 ± 0.0287
Root relative squared error
0.93 ± 0.0589
SciMark benchmark
1862.469