Run
173397

Run 173397

Task 1915 (Supervised Classification) dermatology Uploaded 21-02-2015 by Jan van Rijn
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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
0.6751
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.3495
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.3388
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
1319.018
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.166
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.2664
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
3660
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.2757
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.5019
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
2.4378
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.5019
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.6231
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3649
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4075
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.1167
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1465.2979