DEVELOPMENT... OpenML
Run
50331

Run 50331

Task 1742 (Learning Curve) spambase 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
0.8696 ± 0.0128
Per class
Build CPU time
0.0002
Build memory
2395445543.8857
F measure
0.7904 ± 0.0271
Per class
Kappa
0.5586 ± 0.0564
KB relative information score
0.3717 ± 0.0395
Mean absolute error
0.3182 ± 0.0171
Mean prior absolute error
0.4776 ± 0.0002
Number of instances
4601
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.7903 ± 0.0193
Per class
Predictive accuracy
0.792 ± 0.0231
Prior entropy
0.9674 ± 0.0006
Recall
0.792 ± 0.0231
Per class
Relative absolute error
0.6663 ± 0.0357
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.3979 ± 0.0178
Root relative squared error
0.8142 ± 0.0364
SciMark benchmark
1737.9306