DEVELOPMENT... OpenML
Run
50528

Run 50528

Task 1715 (Learning Curve) mfeat-karhunen 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
0.8493 ± 0.0098
Per class
Build CPU time
0.0002
Build memory
95114230.7636
F measure
0.7281 ± 0.02
Per class
Kappa
0.6978 ± 0.0207
KB relative information score
0.7156 ± 0.0188
Mean absolute error
0.0544 ± 0.0037
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7289 ± 0.0203
Per class
Predictive accuracy
0.728 ± 0.0186
Prior entropy
3.3219
Recall
0.728 ± 0.0186
Per class
Relative absolute error
0.3025 ± 0.0203
Root mean prior squared error
0.3
Root mean squared error
0.2325 ± 0.0077
Root relative squared error
0.7748 ± 0.0255
SciMark benchmark
1680.7345