Run
172481

Run 172481

Task 3873 (Supervised Classification) dermatology Uploaded 20-02-2015 by Jan van Rijn
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Flow

weka.Ridor(3)Weka implementation of Ridor
weka.Ridor(3)_F3
weka.Ridor(3)_S1
weka.Ridor(3)_N2.0

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
0.9837
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.981
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9555
Cross-validation details (10-fold Crossvalidation)
KB relative information score
347.9263
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0191
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
0.9815
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9809
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8898
Cross-validation details (10-fold Crossvalidation)
Recall
0.9809
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.045
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4608
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1383
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3001
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1353.5686
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)