DEVELOPMENT... OpenML
Run
25032

Run 25032

Task 62 (Learning Curve) anneal Uploaded 16-08-2014 by Jason
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Flow

weka.J48(3)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(3)_C0.25
weka.J48(3)_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
0.9748 ± 0.0175
Per class
Build CPU time
0.0089
Build memory
200566306.8711
F measure
0.9236 ± 0.0282
Per class
Kappa
0.8076 ± 0.0738
KB relative information score
0.7645 ± 0.0594
Mean absolute error
0.0402 ± 0.0077
Mean prior absolute error
0.1343 ± 0.0012
Number of instances
8980
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.13.0-32-generic]
Precision
0.9246 ± 0.0281
Per class
Predictive accuracy
0.9261 ± 0.0275
Prior entropy
1.1915 ± 0.0248
Recall
0.9261 ± 0.0275
Per class
Relative absolute error
0.2991 ± 0.0573
Root mean prior squared error
0.2582 ± 0.0023
Root mean squared error
0.1364 ± 0.0212
Root relative squared error
0.5281 ± 0.0821
SciMark benchmark
775.9981[469.1340932148987973.7013819753541408.57755533778607770.7851120633991257.7921058814234]