Run
88790

Run 88790

Task 7293 (Supervised Classification) Click_prediction_small Uploaded 03-12-2014 by Kevin Jacobs
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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)_E1.0
weka.VotedPerceptron(2)_I1
weka.VotedPerceptron(2)_M10000
weka.VotedPerceptron(2)_S1

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
13.1998
Cross-validation details (10-fold Crossvalidation)
Build memory
1272634433.1199
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, 1.7.0_65, amd64, Linux, 3.13.0-36-generic]
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
1216.3715
Total cost
6708900
Cross-validation details (10-fold Crossvalidation)