DEVELOPMENT... OpenML
Run
50501

Run 50501

Task 1720 (Learning Curve) car 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
0.942 ± 0.0141
Per class
Build CPU time
0.0002
Build memory
481497810.6182
F measure
0.8474 ± 0.0211
Per class
Kappa
0.6648 ± 0.0454
KB relative information score
0.7231 ± 0.0249
Mean absolute error
0.0659 ± 0.0078
Mean prior absolute error
0.229 ± 0.0007
Number of instances
1728
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8444 ± 0.0237
Per class
Predictive accuracy
0.8524 ± 0.0205
Prior entropy
1.2058 ± 0.0093
Recall
0.8524 ± 0.0205
Per class
Relative absolute error
0.2878 ± 0.0339
Root mean prior squared error
0.3381 ± 0.001
Root mean squared error
0.2173 ± 0.0149
Root relative squared error
0.6426 ± 0.044
SciMark benchmark
1615.5755