Run
55035

Run 55035

Task 1714 (Learning Curve) breast-w 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
0.9507 ± 0.0256
Per class
Build CPU time
0.0016
Build memory
1566724424
F measure
0.9473 ± 0.0246
Per class
Kappa
0.8841 ± 0.0527
KB relative information score
0.8532 ± 0.0542
Mean absolute error
0.0683 ± 0.0228
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
699
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9481 ± 0.0215
Per class
Predictive accuracy
0.9471 ± 0.0253
Prior entropy
0.9293 ± 0.0043
Recall
0.9471 ± 0.0253
Per class
Relative absolute error
0.1511 ± 0.0506
Root mean prior squared error
0.4753 ± 0.0015
Root mean squared error
0.2215 ± 0.0508
Root relative squared error
0.4659 ± 0.107
SciMark benchmark
1634.4504