Run
477698

Run 477698

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)_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
0.9526 ± 0.0117
Per class
F measure
0.9404 ± 0.0071
Per class
Kappa
0.8802 ± 0.0143
KB relative information score
5907.0814 ± 9.4495
Mean absolute error
0.094 ± 0.0069
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
0.9404 ± 0.0071
Per class
Predictive accuracy
0.9404 ± 0.0071
Prior entropy
0.9973
Recall
0.9404 ± 0.0071
Per class
Relative absolute error
0.1888 ± 0.0139
Root mean prior squared error
0.4991 ± 0
Root mean squared error
0.2328 ± 0.0138
Root relative squared error
0.4664 ± 0.0276
SciMark benchmark
1730.6276
UserCPU time millis
70
UserCPU time millis training
70