Run
53316

Run 53316

Task 1757 (Learning Curve) waveform-5000 Uploaded 08-11-2014 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
0.8307 ± 0.0158
Per class
Build CPU time
0.0948
Build memory
1893240085.8286
F measure
0.7545 ± 0.0169
Per class
Kappa
0.6322 ± 0.0258
KB relative information score
0.6582 ± 0.0228
Mean absolute error
0.1681 ± 0.011
Mean prior absolute error
0.4444 ± 0
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7546 ± 0.0169
Per class
Predictive accuracy
0.7548 ± 0.0172
Prior entropy
1.5849 ± 0
Recall
0.7548 ± 0.0172
Per class
Relative absolute error
0.3783 ± 0.0246
Root mean prior squared error
0.4714 ± 0
Root mean squared error
0.3907 ± 0.0148
Root relative squared error
0.8289 ± 0.0314
SciMark benchmark
1597.1006