DEVELOPMENT... OpenML
Run
50509

Run 50509

Task 1736 (Learning Curve) diabetes Uploaded 06-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.LWL_RandomTree(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.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001
weka.LWL_RandomTree(2)_Atrue
weka.LWL_RandomTree(2)_K-1
weka.LWL_RandomTree(2)_U0
weka.LWL_RandomTree(2)_Wweka.classifiers.trees.RandomTree

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
0.6835 ± 0.0697
Per class
Build CPU time
0.0002
Build memory
225632881.7
F measure
0.7105 ± 0.0617
Per class
Kappa
0.3648 ± 0.1374
KB relative information score
0.3349 ± 0.1391
Mean absolute error
0.2904 ± 0.061
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
0.7115 ± 0.0633
Per class
Predictive accuracy
0.7096 ± 0.061
Prior entropy
0.9331 ± 0.0046
Recall
0.7096 ± 0.061
Per class
Relative absolute error
0.6389 ± 0.1338
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.5389 ± 0.0574
Root relative squared error
1.1305 ± 0.1193
SciMark benchmark
1367.6268