DEVELOPMENT... OpenML
Run
50332

Run 50332

Task 1727 (Learning Curve) optdigits 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
0.9498 ± 0.0058
Per class
Build CPU time
0.0002
Build memory
195468574.8571
F measure
0.7173 ± 0.0167
Per class
Kappa
0.7064 ± 0.0164
KB relative information score
0.3707 ± 0.0056
Mean absolute error
0.15 ± 0.0007
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
0.7903 ± 0.011
Per class
Predictive accuracy
0.7358 ± 0.0148
Prior entropy
3.3218 ± 0.0001
Recall
0.7358 ± 0.0148
Per class
Relative absolute error
0.8332 ± 0.0041
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.261 ± 0.0011
Root relative squared error
0.87 ± 0.0037
SciMark benchmark
1508.8083