Run
478014

Run 478014

Task 10084 (Learning Curve) profb 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
0.6052 ± 0.0523
Per class
F measure
0.6477 ± 0.044
Per class
Kappa
0.1845 ± 0.1024
KB relative information score
71.1287 ± 3.6716
Mean absolute error
0.3972 ± 0.0225
Mean prior absolute error
0.4446 ± 0.0026
Number of instances
672
Per class
OS information
[Sun Microsystems Inc., 1.6.0_36, amd64, Linux, 3.5.0-54-generic]
Precision
0.646 ± 0.0483
Per class
Predictive accuracy
0.6711 ± 0.037
Prior entropy
0.9188
Recall
0.6711 ± 0.037
Per class
Relative absolute error
0.8934 ± 0.048
Root mean prior squared error
0.4714 ± 0.0027
Root mean squared error
0.4803 ± 0.0245
Root relative squared error
1.0189 ± 0.0498
SciMark benchmark
1801.8585