DEVELOPMENT... OpenML
Run
48685

Run 48685

Task 1711 (Learning Curve) mfeat-factors 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
0.9468 ± 0.0135
Per class
Build CPU time
0.2144
Build memory
2187768056.7273
F measure
0.8971 ± 0.0242
Per class
Kappa
0.8856 ± 0.0271
KB relative information score
0.8895 ± 0.025
Mean absolute error
0.0219 ± 0.0047
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
0.8975 ± 0.0234
Per class
Predictive accuracy
0.897 ± 0.0244
Prior entropy
3.3219
Recall
0.897 ± 0.0244
Per class
Relative absolute error
0.1215 ± 0.0258
Root mean prior squared error
0.3
Root mean squared error
0.1415 ± 0.0166
Root relative squared error
0.4718 ± 0.0553
SciMark benchmark
1627.4256