Run
1665106

Run 1665106

Task 34536 (Supervised Classification) Internet-Advertisements 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
0.7618
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9136
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6147
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1924.0916
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.079
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2409
Cross-validation details (10-fold Crossvalidation)
Number of instances
3279
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9165
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.921
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5848
Cross-validation details (10-fold Crossvalidation)
Recall
0.921
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3277
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.347
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2809
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8097
Cross-validation details (10-fold Crossvalidation)