Run
50356

Run 50356

Task 1736 (Learning Curve) diabetes Uploaded 06-11-2014 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.LWL_J48(2)Eibe Frank, Mark Hall, Bernhard Pfahringer: Locally Weighted Naive Bayes. In: 19th Conference in Uncertainty in Artificial Intelligence, 249-256, 2003. C. Atkeson, A. Moore, S. Schaal (1996). Locally weighted learning. AI Review..
weka.J48(3)_C0.25
weka.J48(3)_M2
weka.LWL_J48(2)_Atrue
weka.LWL_J48(2)_K-1
weka.LWL_J48(2)_U0
weka.LWL_J48(2)_Wweka.classifiers.trees.J48

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
0.7223 ± 0.0821
Per class
Build CPU time
0.0001
Build memory
518144626.5
F measure
0.7364 ± 0.0522
Per class
Kappa
0.4164 ± 0.1211
KB relative information score
0.3196 ± 0.087
Mean absolute error
0.3093 ± 0.0355
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
0.7352 ± 0.0542
Per class
Predictive accuracy
0.7383 ± 0.0477
Prior entropy
0.9331 ± 0.0046
Recall
0.7383 ± 0.0477
Per class
Relative absolute error
0.6805 ± 0.0777
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.4599 ± 0.0518
Root relative squared error
0.9648 ± 0.1082
SciMark benchmark
1652.2022