Run
1665114

Run 1665114

Task 14971 (Supervised Classification) Click_prediction_small Uploaded 19-07-2016 by Jan van Rijn
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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
0.5001
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7552
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0003
Cross-validation details (10-fold Crossvalidation)
KB relative information score
10772.88
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1684
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2801
Cross-validation details (10-fold Crossvalidation)
Number of instances
39948
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7589
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8316
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6541
Cross-validation details (10-fold Crossvalidation)
Recall
0.8316
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6013
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3742
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4104
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0967
Cross-validation details (10-fold Crossvalidation)