DEVELOPMENT... OpenML
Run
50502

Run 50502

Task 1722 (Learning Curve) cmc Uploaded 06-11-2014 by Jason
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  • 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
0.5979 ± 0.0251
Per class
Build CPU time
0.0002
Build memory
766557488.16
F measure
0.4738 ± 0.0332
Per class
Kappa
0.1864 ± 0.0514
KB relative information score
0.2473 ± 0.0456
Mean absolute error
0.3517 ± 0.0211
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
1473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.4733 ± 0.0338
Per class
Predictive accuracy
0.4745 ± 0.0319
Prior entropy
1.539 ± 0.0029
Recall
0.4745 ± 0.0319
Per class
Relative absolute error
0.8164 ± 0.0495
Root mean prior squared error
0.4641 ± 0.0005
Root mean squared error
0.5814 ± 0.0183
Root relative squared error
1.2528 ± 0.0402
SciMark benchmark
1684.583