Run
1742708

Run 1742708

Task 3971 (Supervised Classification) AP_Colon_Kidney Uploaded 24-07-2016 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.CVParameterSelection_ZeroR(3)R. Kohavi (1995). Wrappers for Performance Enhancement and Oblivious Decision Graphs. Department of Computer Science, Stanford University.
weka.CVParameterSelection_ZeroR(3)_X10
weka.CVParameterSelection_ZeroR(3)_S1
weka.CVParameterSelection_ZeroR(3)_Wweka.classifiers.rules.ZeroR

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.

17 Evaluation measures

Area under ROC curve
0.4958
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3601
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.0091
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4989
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4989
Cross-validation details (10-fold Crossvalidation)
Number of instances
546
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.2744
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5238
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9984
Cross-validation details (10-fold Crossvalidation)
Recall
0.5238
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4994
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4994
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1
Cross-validation details (10-fold Crossvalidation)