Run
55046

Run 55046

Task 1730 (Learning Curve) credit-g Uploaded 10-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.J48(13)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(13)_C0.25
weka.J48(13)_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.

21 Evaluation measures

Area under ROC curve
0.6294 ± 0.084
Per class
Build CPU time
0.0046
Build memory
3057013291.7333
F measure
0.6857 ± 0.0393
Per class
Kappa
0.2272 ± 0.0984
KB relative information score
0.1498 ± 0.0705
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_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.6804 ± 0.0433
Per class
Predictive accuracy
0.702 ± 0.0371
Prior entropy
0.8813
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
1634.4504