DEVELOPMENT... OpenML
Run
175929

Run 175929

Task 265 (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
0.9752
Per class
F measure
0.9498
Per class
Kappa
0.9365
KB relative information score
110.1281
Mean absolute error
0.0225
Mean prior absolute error
0.2653
Number of instances
120
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9516
Per class
Predictive accuracy
0.95
Prior entropy
2.4378
Recall
0.95
Per class
Relative absolute error
0.085
Root mean prior squared error
0.3633
Root mean squared error
0.1222
Root relative squared error
0.3364
SciMark benchmark
1384.4418
UserCPU time millis
10
UserCPU time millis training
10