Run
50352

Run 50352

Task 1728 (Learning Curve) credit-approval Uploaded 06-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.LWL_J48(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.J48(3)_C0.25
weka.J48(3)_M2
weka.LWL_J48(2)_Atrue
weka.LWL_J48(2)_K-1
weka.LWL_J48(2)_U0
weka.LWL_J48(2)_Wweka.classifiers.trees.J48

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
0.8751 ± 0.0434
Per class
Build CPU time
0.0001
Build memory
547785229.1
F measure
0.8596 ± 0.0392
Per class
Kappa
0.716 ± 0.0796
KB relative information score
0.6448 ± 0.0651
Mean absolute error
0.1863 ± 0.0302
Mean prior absolute error
0.494 ± 0.0008
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8599 ± 0.0403
Per class
Predictive accuracy
0.8594 ± 0.0393
Prior entropy
0.9912 ± 0.0022
Recall
0.8594 ± 0.0393
Per class
Relative absolute error
0.3771 ± 0.061
Root mean prior squared error
0.497 ± 0.0008
Root mean squared error
0.3423 ± 0.0444
Root relative squared error
0.6888 ± 0.0895
SciMark benchmark
1652.2022