Run
1665072

Run 1665072

Task 3918 (Supervised Classification) pc1 Uploaded 19-07-2016 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.VotedPerceptron(5)Y. Freund, R. E. Schapire: Large margin classification using the perceptron algorithm. In: 11th Annual Conference on Computational Learning Theory, New York, NY, 209-217, 1998.
weka.VotedPerceptron(5)_I1
weka.VotedPerceptron(5)_E1.0
weka.VotedPerceptron(5)_S1
weka.VotedPerceptron(5)_M10000

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
0.5
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8971
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
273.5039
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0694
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1299
Cross-validation details (10-fold Crossvalidation)
Number of instances
1109
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.866
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9306
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3667
Cross-validation details (10-fold Crossvalidation)
Recall
0.9306
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5345
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2542
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2635
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0366
Cross-validation details (10-fold Crossvalidation)