DEVELOPMENT... OpenML
Run
50326

Run 50326

Task 1752 (Learning Curve) vehicle Uploaded 06-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.LWL_DecisionStump(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.LWL_DecisionStump(2)_Atrue
weka.LWL_DecisionStump(2)_K-1
weka.LWL_DecisionStump(2)_U0
weka.LWL_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.7933 ± 0.02
Per class
Build CPU time
0.0001
Build memory
1581754172.8889
F measure
0.4009 ± 0.0573
Per class
Kappa
0.2762 ± 0.059
KB relative information score
0.2442 ± 0.0167
Mean absolute error
0.325 ± 0.0051
Mean prior absolute error
0.3748 ± 0
Number of instances
846
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.5833 ± 0.0716
Per class
Predictive accuracy
0.4527 ± 0.0451
Prior entropy
1.9991 ± 0.0005
Recall
0.4527 ± 0.0451
Per class
Relative absolute error
0.8671 ± 0.0135
Root mean prior squared error
0.4329 ± 0
Root mean squared error
0.3982 ± 0.0053
Root relative squared error
0.9199 ± 0.0121
SciMark benchmark
1970.0822