DEVELOPMENT... OpenML
Run
9215

Run 9215

Task 35 (Supervised Classification) dermatology Uploaded 22-05-2014 by Felicia West
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Flow

weka.OneR(1)R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
weka.OneR(1)_B10

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.6755
Per class
F measure
0.3497
Per class
Kappa
0.3397
KB relative information score
132.1776
Mean absolute error
0.1658
Mean prior absolute error
0.2664
Number of instances
366
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.2755
Per class
Predictive accuracy
0.5027
Prior entropy
2.4378
Recall
0.5027
Per class
Relative absolute error
0.6221
Root mean prior squared error
0.3649
Root mean squared error
0.4071
Root relative squared error
1.1158
SciMark benchmark
942.8754[566.12807181085051014.9881073746852480.4214203123994914.66854765231311738.1710384960516]