Run
477661

Run 477661

Task 1730 (Learning Curve) credit-g 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
0.6294 ± 0.084
Per class
F measure
0.6857 ± 0.0393
Per class
Kappa
0.2272 ± 0.0984
KB relative information score
149.7423 ± 7.0415
Mean absolute error
0.3497 ± 0.0263
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_36, amd64, Linux, 3.5.0-54-generic]
Precision
0.6804 ± 0.0433
Per class
Predictive accuracy
0.702 ± 0.0371
Prior entropy
0.8818
Recall
0.702 ± 0.0371
Per class
Relative absolute error
0.8324 ± 0.0626
Root mean prior squared error
0.4583
Root mean squared error
0.4897 ± 0.03
Root relative squared error
1.0685 ± 0.0654
SciMark benchmark
1712.9154
UserCPU time millis
10
UserCPU time millis training
10