Run
477730

Run 477730

Task 10069 (Learning Curve) mozilla4 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
0.9537 ± 0.0092
Per class
F measure
0.9453 ± 0.0047
Per class
Kappa
0.8746 ± 0.011
KB relative information score
12775.6884 ± 17.1268
Mean absolute error
0.0839 ± 0.0049
Mean prior absolute error
0.4412 ± 0.0001
Number of instances
15545
Per class
OS information
[Sun Microsystems Inc., 1.6.0_36, amd64, Linux, 3.5.0-54-generic]
Precision
0.947 ± 0.0043
Per class
Predictive accuracy
0.9461 ± 0.0045
Prior entropy
0.9135
Recall
0.9461 ± 0.0045
Per class
Relative absolute error
0.1902 ± 0.0112
Root mean prior squared error
0.4697 ± 0.0001
Root mean squared error
0.2177 ± 0.0088
Root relative squared error
0.4634 ± 0.0187
SciMark benchmark
1712.9154
UserCPU time millis
120
UserCPU time millis training
120