Run
477837

Run 477837

Task 10049 (Learning Curve) delta_ailerons Uploaded 30-11-2015 by Jan van Rijn
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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)_C0.25
weka.J48(33)_M1

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
0.9507 ± 0.0111
Per class
F measure
0.9405 ± 0.0074
Per class
Kappa
0.8805 ± 0.0149
KB relative information score
5924.2807 ± 9.9589
Mean absolute error
0.0925 ± 0.0072
Mean prior absolute error
0.4981 ± 0
Number of instances
7129
Per class
OS information
[Sun Microsystems Inc., 1.6.0_36, amd64, Linux, 3.5.0-54-generic]
Precision
0.9406 ± 0.0074
Per class
Predictive accuracy
0.9405 ± 0.0074
Prior entropy
0.9973
Recall
0.9405 ± 0.0074
Per class
Relative absolute error
0.1857 ± 0.0144
Root mean prior squared error
0.4991 ± 0
Root mean squared error
0.2326 ± 0.0149
Root relative squared error
0.4661 ± 0.0299
SciMark benchmark
1712.9154
UserCPU time millis
50
UserCPU time millis training
50