DEVELOPMENT... OpenML
Run
48682

Run 48682

Task 1702 (Learning Curve) kr-vs-kp 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
0.9964 ± 0.0038
Per class
Build CPU time
0.0118
Build memory
1799761074.2667
F measure
0.9906 ± 0.0033
Per class
Kappa
0.9812 ± 0.0066
KB relative information score
0.9782 ± 0.0069
Mean absolute error
0.0114 ± 0.0035
Mean prior absolute error
0.499 ± 0.0001
Number of instances
3196
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.9906 ± 0.0033
Per class
Predictive accuracy
0.9906 ± 0.0033
Prior entropy
0.9986 ± 0.0002
Recall
0.9906 ± 0.0033
Per class
Relative absolute error
0.0228 ± 0.007
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.0929 ± 0.0174
Root relative squared error
0.186 ± 0.0348
SciMark benchmark
1932.1045