DEVELOPMENT... OpenML
Run
50498

Run 50498

Task 1710 (Learning Curve) balance-scale 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
0.8422 ± 0.0298
Per class
Build CPU time
0.0001
Build memory
351112941.8
F measure
0.7982 ± 0.0325
Per class
Kappa
0.6289 ± 0.0678
KB relative information score
0.5681 ± 0.0669
Mean absolute error
0.144 ± 0.0293
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8131 ± 0.0278
Per class
Predictive accuracy
0.784 ± 0.0439
Prior entropy
1.3181 ± 0.0124
Recall
0.784 ± 0.0439
Per class
Relative absolute error
0.3792 ± 0.0769
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.3795 ± 0.0393
Root relative squared error
0.8712 ± 0.09
SciMark benchmark
1708.8151