DEVELOPMENT... OpenML
Run
48679

Run 48679

Task 1710 (Learning Curve) balance-scale Uploaded 05-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.PART(2)Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.
weka.PART(2)_C0.25
weka.PART(2)_M2
weka.PART(2)_Q1

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
0.8868 ± 0.0238
Per class
Build CPU time
0.0021
Build memory
2411408612.3
F measure
0.8074 ± 0.0246
Per class
Kappa
0.6697 ± 0.0383
KB relative information score
0.6149 ± 0.0379
Mean absolute error
0.1364 ± 0.0124
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
0.8011 ± 0.0295
Per class
Predictive accuracy
0.8144 ± 0.0212
Prior entropy
1.3181 ± 0.0124
Recall
0.8144 ± 0.0212
Per class
Relative absolute error
0.3592 ± 0.0324
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.3218 ± 0.0218
Root relative squared error
0.7388 ± 0.0499
SciMark benchmark
1627.4256