Run
84222

Run 84222

Task 7293 (Supervised Classification) Click_prediction_small Uploaded 02-12-2014 by Stephan Oostveen
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Flow

weka.AdaBoostM1_NaiveBayes(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_NaiveBayes(2)_I10
weka.AdaBoostM1_NaiveBayes(2)_P100
weka.AdaBoostM1_NaiveBayes(2)_S1
weka.AdaBoostM1_NaiveBayes(2)_Wweka.classifiers.bayes.NaiveBayes

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
0.6084
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
16.125
Cross-validation details (10-fold Crossvalidation)
Build CPU time
37.2639
Cross-validation details (10-fold Crossvalidation)
Build memory
1665431675.3164
Cross-validation details (10-fold Crossvalidation)
F measure
0.7642
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0415
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-31852.6085
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.268
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_25, amd64, Windows 7, 6.1]
Precision
0.7466
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8208
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.653
Cross-validation details (10-fold Crossvalidation)
Recall
0.8208
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9589
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3738
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3754
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0042
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1671.6466
Total cost
6441630
Cross-validation details (10-fold Crossvalidation)