DEVELOPMENT... OpenML
Run
177302

Run 177302

Task 4578 (Supervised Classification) dermatology Uploaded 23-02-2015 by Jason
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Flow

weka.PART(3)Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.
weka.PART(3)_C0.25
weka.PART(3)_M2
weka.PART(3)_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.

22 Evaluation measures

Area under ROC curve
0.9959
Per class
F measure
0.9926
Per class
Kappa
0.9826
KB relative information score
3568.8135
Mean absolute error
0.0105
Mean prior absolute error
0.4251
Number of instances
3660
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9926
Per class
Predictive accuracy
0.9926
Prior entropy
0.8898
Recall
0.9926
Per class
Relative absolute error
0.0246
Root mean prior squared error
0.4608
Root mean squared error
0.0853
Root relative squared error
0.185
SciMark benchmark
1330.0803