DEVELOPMENT... OpenML
Run
175988

Run 175988

Task 1799 (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
0.9684
Per class
F measure
0.9441
Per class
Kappa
0.9301
KB relative information score
1671.3694
Mean absolute error
0.0279
Mean prior absolute error
0.2664
Number of instances
1830
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9444
Per class
Predictive accuracy
0.9443
Prior entropy
2.4378
Recall
0.9443
Per class
Relative absolute error
0.1049
Root mean prior squared error
0.3649
Root mean squared error
0.1354
Root relative squared error
0.371
SciMark benchmark
1341.2341
UserCPU time millis
10
UserCPU time millis training
10