DEVELOPMENT... OpenML
Run
54692

Run 54692

Task 1719 (Learning Curve) mfeat-pixel Uploaded 09-11-2014 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
0.9213 ± 0.0143
Per class
Build CPU time
0.1391
Build memory
1224279797.8909
F measure
0.8348 ± 0.0261
Per class
Kappa
0.8161 ± 0.0287
KB relative information score
0.822 ± 0.0296
Mean absolute error
0.0375 ± 0.0061
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8357 ± 0.025
Per class
Predictive accuracy
0.8345 ± 0.0259
Prior entropy
3.3219
Recall
0.8345 ± 0.0259
Per class
Relative absolute error
0.2081 ± 0.034
Root mean prior squared error
0.3
Root mean squared error
0.1709 ± 0.014
Root relative squared error
0.5696 ± 0.0467
SciMark benchmark
1716.1277