DEVELOPMENT... OpenML
Run
25641

Run 25641

Task 80 (Learning Curve) car Uploaded 19-08-2014 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
0.9774 ± 0.0105
Per class
Build CPU time
0.0009
Build memory
2658554162.4146
F measure
0.9206 ± 0.0188
Per class
Kappa
0.8272 ± 0.0399
KB relative information score
0.8348 ± 0.0378
Mean absolute error
0.0418 ± 0.0086
Mean prior absolute error
0.229 ± 0.0006
Number of instances
17280
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.9212 ± 0.0182
Per class
Predictive accuracy
0.9204 ± 0.0183
Prior entropy
1.2058 ± 0.0089
Recall
0.9204 ± 0.0183
Per class
Relative absolute error
0.1827 ± 0.0377
Root mean prior squared error
0.3381 ± 0.001
Root mean squared error
0.1695 ± 0.0202
Root relative squared error
0.5013 ± 0.0598
SciMark benchmark
1111.194[654.7449765469651920.2267979822128503.15922789592213973.78903619551952504.0501364794236]