Run
486357

Run 486357

Task 10049 (Learning Curve) delta_ailerons Uploaded 02-12-2015 by Joaquin Vanschoren
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Flow

weka.J48(33)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(33)_C0.3
weka.J48(33)_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.

22 Evaluation measures

Area under ROC curve
0.9524 ± 0.0123
Per class
F measure
0.9397 ± 0.0076
Per class
Kappa
0.8788 ± 0.0153
KB relative information score
5914.6757 ± 9.5993
Mean absolute error
0.093 ± 0.0067
Mean prior absolute error
0.4981 ± 0
Number of instances
7129
Per class
OS information
[Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64]
Precision
0.9397 ± 0.0076
Per class
Predictive accuracy
0.9397 ± 0.0076
Prior entropy
0.9973
Recall
0.9397 ± 0.0076
Per class
Relative absolute error
0.1868 ± 0.0135
Root mean prior squared error
0.4991 ± 0
Root mean squared error
0.2331 ± 0.014
Root relative squared error
0.4671 ± 0.0281
SciMark benchmark
829.1267
UserCPU time millis
100
UserCPU time millis testing
10
UserCPU time millis training
90