Run
355

Run 355

Task 35 (Supervised Classification) dermatology Uploaded 07-04-2014 by Jan van Rijn
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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)_B6

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
Cross-validation details (10-fold Crossvalidation)
F measure
0.3497
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3397
Cross-validation details (10-fold Crossvalidation)
KB relative information score
132.1776
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1658
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2664
Cross-validation details (10-fold Crossvalidation)
Number of instances
366
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ]
Precision
0.2755
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5027
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.4378
Cross-validation details (10-fold Crossvalidation)
Recall
0.5027
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6221
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3649
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4071
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1158
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
2010.0003