Run
78000

Run 78000

Task 7293 (Supervised Classification) Click_prediction_small Uploaded 01-12-2014 by Henry He
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.NaiveBayesMultinomialUpdateable(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.NaiveBayesMultinomialUpdateable(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

0.5
Per class
Cross-validation details (10-fold Crossvalidation)
16.794
Cross-validation details (10-fold Crossvalidation)
0.1447
Cross-validation details (10-fold Crossvalidation)
1025982251.897
Cross-validation details (10-fold Crossvalidation)
0.7558
Per class
Cross-validation details (10-fold Crossvalidation)
107768.589
Cross-validation details (10-fold Crossvalidation)
0.1679
Cross-validation details (10-fold Crossvalidation)
0.2795
Cross-validation details (10-fold Crossvalidation)
399482
Per class
Cross-validation details (10-fold Crossvalidation)
[Oracle Corporation, 1.8.0_25, amd64, Windows 8.1, 6.3]
0.6923
Per class
Cross-validation details (10-fold Crossvalidation)
0.8321
Cross-validation details (10-fold Crossvalidation)
0.653
Cross-validation details (10-fold Crossvalidation)
0.8321
Per class
Cross-validation details (10-fold Crossvalidation)
0.6009
Cross-validation details (10-fold Crossvalidation)
0.3738
Cross-validation details (10-fold Crossvalidation)
0.4098
Cross-validation details (10-fold Crossvalidation)
1.0963
Cross-validation details (10-fold Crossvalidation)
1399.2289
6708900
Cross-validation details (10-fold Crossvalidation)