DEVELOPMENT... OpenML
Run
173339

Run 173339

Task 1799 (Supervised Classification) dermatology Uploaded 21-02-2015 by Jason
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Flow

weka.OneR(17)R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
weka.OneR(17)_B6

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
0.6526
Per class
F measure
0.3499
Per class
Kappa
0.3043
KB relative information score
626.6309
Mean absolute error
0.1729
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
0.3131
Per class
Predictive accuracy
0.4814
Prior entropy
2.4378
Recall
0.4814
Per class
Relative absolute error
0.6488
Root mean prior squared error
0.3649
Root mean squared error
0.4158
Root relative squared error
1.1395
SciMark benchmark
1465.2979