Run
66035

Run 66035

Task 7293 (Supervised Classification) Click_prediction_small Uploaded 26-11-2014 by Olav Bunte
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Flow

weka.VotedPerceptron(2)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(2)_E2.4
weka.VotedPerceptron(2)_I7
weka.VotedPerceptron(2)_M10003
weka.VotedPerceptron(2)_S5318008

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.

21 Evaluation measures

Area under ROC curve
0.5
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
16.794
Cross-validation details (10-fold Crossvalidation)
Build CPU time
111.6572
Cross-validation details (10-fold Crossvalidation)
Build memory
1223412158.2165
Cross-validation details (10-fold Crossvalidation)
F measure
0.7558
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
107768.589
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1679
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2795
Cross-validation details (10-fold Crossvalidation)
Number of instances
399482
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_20, amd64, Windows 7, 6.1]
Precision
0.6923
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8321
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.653
Cross-validation details (10-fold Crossvalidation)
Recall
0.8321
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6009
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3738
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4098
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0963
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
416.2493
Total cost
6708900
Cross-validation details (10-fold Crossvalidation)