Run
53118

Run 53118

Task 1711 (Learning Curve) mfeat-factors Uploaded 07-11-2014 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
0.9415 ± 0.0142
Per class
Build CPU time
0.0003
Build memory
109191725.8909
F measure
0.8933 ± 0.0256
Per class
Kappa
0.8817 ± 0.0276
KB relative information score
0.8864 ± 0.0253
Mean absolute error
0.0228 ± 0.0046
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8933 ± 0.0247
Per class
Predictive accuracy
0.8935 ± 0.0248
Prior entropy
3.3219
Recall
0.8935 ± 0.0248
Per class
Relative absolute error
0.1265 ± 0.0257
Root mean prior squared error
0.3
Root mean squared error
0.1422 ± 0.0166
Root relative squared error
0.4739 ± 0.0555
SciMark benchmark
1132.5492