Run
88776

Run 88776

Task 7293 (Supervised Classification) Click_prediction_small Uploaded 03-12-2014 by Koen Engelen
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Flow

weka.AdaBoostM1_BayesNet_K2(1)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.BayesNet_K2(3)_Dtrue
weka.BayesNet_K2(3)_Qweka.classifiers.bayes.net.search.local.K2
weka.K2(3)_P1
weka.K2(3)_SBAYES
weka.AdaBoostM1_BayesNet_K2(1)_P100
weka.AdaBoostM1_BayesNet_K2(1)_S1
weka.AdaBoostM1_BayesNet_K2(1)_I10
weka.AdaBoostM1_BayesNet_K2(1)_Wweka.classifiers.bayes.BayesNet

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
0.6886
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
14.839
Cross-validation details (10-fold Crossvalidation)
Build CPU time
88.1174
Cross-validation details (10-fold Crossvalidation)
Build memory
974366468.8978
Cross-validation details (10-fold Crossvalidation)
F measure
0.787
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1424
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-15134.2739
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2552
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 8.1, 6.3]
Precision
0.7837
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8293
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.653
Cross-validation details (10-fold Crossvalidation)
Recall
0.8293
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.913
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3738
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.365
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9765
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1828.9209
Total cost
5927930
Cross-validation details (10-fold Crossvalidation)