Run
55051

Run 55051

Task 1740 (Learning Curve) soybean Uploaded 10-11-2014 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.J48(13)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(13)_C0.25
weka.J48(13)_M2

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
0.978 ± 0.0159
Per class
Build CPU time
0.0045
Build memory
749703121.3
F measure
0.9131 ± 0.0188
Per class
Kappa
0.9068 ± 0.0239
KB relative information score
0.9028 ± 0.0182
Mean absolute error
0.0143 ± 0.0023
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
0.9157 ± 0.0184
Per class
Predictive accuracy
0.9151 ± 0.0219
Prior entropy
3.8358 ± 0.0227
Recall
0.9151 ± 0.0219
Per class
Relative absolute error
0.149 ± 0.0236
Root mean prior squared error
0.2191 ± 0.0002
Root mean squared error
0.0903 ± 0.013
Root relative squared error
0.412 ± 0.0591
SciMark benchmark
1634.4504