Run
477733

Run 477733

Task 10050 (Learning Curve) gina_agnostic 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
0.8619 ± 0.0287
Per class
F measure
0.8714 ± 0.0207
Per class
Kappa
0.7427 ± 0.0412
KB relative information score
2550.1339 ± 14.0763
Mean absolute error
0.1339 ± 0.0201
Mean prior absolute error
0.4999 ± 0
Number of instances
3468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_36, amd64, Linux, 3.5.0-54-generic]
Precision
0.8714 ± 0.0203
Per class
Predictive accuracy
0.8714 ± 0.0206
Prior entropy
0.9998
Recall
0.8714 ± 0.0206
Per class
Relative absolute error
0.2678 ± 0.0402
Root mean prior squared error
0.4999 ± 0
Root mean squared error
0.3496 ± 0.0302
Root relative squared error
0.6992 ± 0.0604
SciMark benchmark
1656.8778
UserCPU time millis
5650
UserCPU time millis training
5650