Run
50357

Run 50357

Task 1740 (Learning Curve) soybean 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
0.9767 ± 0.0118
Per class
Build CPU time
0.0001
Build memory
619958101
F measure
0.9265 ± 0.0251
Per class
Kappa
0.9197 ± 0.0263
KB relative information score
0.9284 ± 0.0207
Mean absolute error
0.0097 ± 0.0024
Mean prior absolute error
0.0961 ± 0.0001
Number of instances
683
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9277 ± 0.0221
Per class
Predictive accuracy
0.9268 ± 0.024
Prior entropy
3.8358 ± 0.0227
Recall
0.9268 ± 0.024
Per class
Relative absolute error
0.1013 ± 0.0247
Root mean prior squared error
0.2191 ± 0.0002
Root mean squared error
0.0825 ± 0.0138
Root relative squared error
0.3763 ± 0.063
SciMark benchmark
1652.2022