DEVELOPMENT... OpenML
Run
53140

Run 53140

Task 1714 (Learning Curve) breast-w Uploaded 08-11-2014 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
0.9374 ± 0.0258
Per class
Build CPU time
0.0002
Build memory
242523716.3
F measure
0.9442 ± 0.0246
Per class
Kappa
0.8764 ± 0.0539
KB relative information score
0.8707 ± 0.0573
Mean absolute error
0.0561 ± 0.0249
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
699
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9442 ± 0.0239
Per class
Predictive accuracy
0.9442 ± 0.0248
Prior entropy
0.9293 ± 0.0043
Recall
0.9442 ± 0.0248
Per class
Relative absolute error
0.1241 ± 0.055
Root mean prior squared error
0.4753 ± 0.0015
Root mean squared error
0.2363 ± 0.0621
Root relative squared error
0.4971 ± 0.1304
SciMark benchmark
1206.3605