DEVELOPMENT... OpenML
Run
57927

Run 57927

Task 1731 (Learning Curve) pendigits 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
0.9486 ± 0.0027
Per class
Build CPU time
0.0003
Build memory
415427301.55
F measure
0.5935 ± 0.0086
Per class
Kappa
0.6066 ± 0.0103
KB relative information score
0.4419 ± 0.0049
Mean absolute error
0.1398 ± 0.0006
Mean prior absolute error
0.18 ± 0
Number of instances
10992
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.7305 ± 0.0472
Per class
Predictive accuracy
0.6464 ± 0.0092
Prior entropy
3.3208 ± 0.0002
Recall
0.6464 ± 0.0092
Per class
Relative absolute error
0.7767 ± 0.0035
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.2512 ± 0.0009
Root relative squared error
0.8375 ± 0.0029
SciMark benchmark
1910.4834