DEVELOPMENT... OpenML
Run
48688

Run 48688

Task 1728 (Learning Curve) credit-approval Uploaded 05-11-2014 by Jason
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
Issue #Downvotes for this reason By


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
0.871 ± 0.0295
Per class
Build CPU time
0.0038
Build memory
2714711569.6
F measure
0.8288 ± 0.0406
Per class
Kappa
0.6531 ± 0.0821
KB relative information score
0.6066 ± 0.0737
Mean absolute error
0.2004 ± 0.0346
Mean prior absolute error
0.494 ± 0.0008
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8288 ± 0.0425
Per class
Predictive accuracy
0.829 ± 0.0409
Prior entropy
0.9912 ± 0.0022
Recall
0.829 ± 0.0409
Per class
Relative absolute error
0.4058 ± 0.07
Root mean prior squared error
0.497 ± 0.0008
Root mean squared error
0.3739 ± 0.047
Root relative squared error
0.7524 ± 0.0948
SciMark benchmark
1729.8248