Run
55026

Run 55026

Task 2097 (Learning Curve) satimage 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
0.9271 ± 0.01
Per class
Build CPU time
0.1736
Build memory
2534296635.8857
F measure
0.862 ± 0.0129
Per class
Kappa
0.8306 ± 0.0161
KB relative information score
0.8319 ± 0.015
Mean absolute error
0.0489 ± 0.004
Mean prior absolute error
0.2701 ± 0
Number of instances
6430
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8612 ± 0.0127
Per class
Predictive accuracy
0.863 ± 0.013
Prior entropy
2.4834 ± 0.0009
Recall
0.863 ± 0.013
Per class
Relative absolute error
0.1812 ± 0.0149
Root mean prior squared error
0.3675 ± 0
Root mean squared error
0.2056 ± 0.01
Root relative squared error
0.5594 ± 0.0273
SciMark benchmark
1634.4504