Run
53556

Run 53556

Task 1710 (Learning Curve) balance-scale 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
0.8267 ± 0.0328
Per class
Build CPU time
0.002
Build memory
2620845181.2
F measure
0.7689 ± 0.0317
Per class
Kappa
0.6129 ± 0.0553
KB relative information score
0.5239 ± 0.0445
Mean absolute error
0.174 ± 0.0183
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.753 ± 0.0389
Per class
Predictive accuracy
0.7856 ± 0.0319
Prior entropy
1.3181 ± 0.0124
Recall
0.7856 ± 0.0319
Per class
Relative absolute error
0.4583 ± 0.0478
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.3522 ± 0.0248
Root relative squared error
0.8085 ± 0.0569
SciMark benchmark
1597.1006