Run
173919

Run 173919

Task 3873 (Supervised Classification) dermatology Uploaded 21-02-2015 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.9659
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.97
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9294
Cross-validation details (10-fold Crossvalidation)
KB relative information score
337.8894
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0301
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4251
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_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.97
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9699
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8898
Cross-validation details (10-fold Crossvalidation)
Recall
0.9699
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0707
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4608
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1734
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3762
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1465.2979
UserCPU time millis training