DEVELOPMENT... OpenML
Run
53209

Run 53209

Task 1727 (Learning Curve) optdigits Uploaded 08-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.LWL_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
0.9295 ± 0.0086
Per class
Build CPU time
0.0004
Build memory
157611682.9143
F measure
0.873 ± 0.0156
Per class
Kappa
0.859 ± 0.0173
KB relative information score
0.8674 ± 0.0163
Mean absolute error
0.0254 ± 0.0031
Mean prior absolute error
0.18 ± 0
Number of instances
5620
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.873 ± 0.0162
Per class
Predictive accuracy
0.8731 ± 0.0156
Prior entropy
3.3218 ± 0.0001
Recall
0.8731 ± 0.0156
Per class
Relative absolute error
0.141 ± 0.0173
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.1591 ± 0.0097
Root relative squared error
0.5304 ± 0.0324
SciMark benchmark
1206.3605