DEVELOPMENT... OpenML
Run
57939

Run 57939

Task 1764 (Learning Curve) electricity Uploaded 14-11-2014 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
0.8101 ± 0.0052
Per class
Build CPU time
0.0008
Build memory
1343474616.72
F measure
0.7477 ± 0.0054
Per class
Kappa
0.4822 ± 0.0106
KB relative information score
0.2928 ± 0.0053
Mean absolute error
0.3647 ± 0.0022
Mean prior absolute error
0.4886 ± 0
Number of instances
45312
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.7647 ± 0.0039
Per class
Predictive accuracy
0.7567 ± 0.0045
Prior entropy
0.9835 ± 0
Recall
0.7567 ± 0.0045
Per class
Relative absolute error
0.7465 ± 0.0044
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.4245 ± 0.0024
Root relative squared error
0.8588 ± 0.005
SciMark benchmark
1910.4834