Run
84109

Run 84109

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

weka.NaiveBayesMultinomial(2)Andrew Mccallum, Kamal Nigam: A Comparison of Event Models for Naive Bayes Text Classification. In: AAAI-98 Workshop on 'Learning for Text Categorization', 1998.
weka.NaiveBayesMultinomial(2)_output-debug-infotrue

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
0.5106
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
16.1805
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.1779
Cross-validation details (10-fold Crossvalidation)
Build memory
1260606714.3223
Cross-validation details (10-fold Crossvalidation)
F measure
0.761
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.031
Cross-validation details (10-fold Crossvalidation)
KB relative information score
78705.7509
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1847
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
0.7376
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8153
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.653
Cross-validation details (10-fold Crossvalidation)
Recall
0.8153
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6608
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3738
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4297
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1496
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1170.6626
Total cost
6463800
Cross-validation details (10-fold Crossvalidation)