DEVELOPMENT... OpenML
Run
175871

Run 175871

Task 35 (Supervised Classification) dermatology Uploaded 21-02-2015 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
0.9744
Per class
F measure
0.9483
Per class
Kappa
0.9349
KB relative information score
337.9971
Mean absolute error
0.0232
Mean prior absolute error
0.2664
Number of instances
366
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9495
Per class
Predictive accuracy
0.9481
Prior entropy
2.4378
Recall
0.9481
Per class
Relative absolute error
0.087
Root mean prior squared error
0.3649
Root mean squared error
0.1298
Root relative squared error
0.3558
SciMark benchmark
1466.6185

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