Analyzing the ability of Naive-Bayes and Label Spreading to predict labels with varying quantities of training data : Classifier Evaluation
A study was performed on Naive-Bayes and Label Spread- ing methods applied in a spam filter as classifiers. In the testing procedure their ability to predict was observed and the results were compared in a McNemar test; leading to the discovery of the strengths and weaknesses of the chosen methods i...
| Main Authors: | , |
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| Format: | Others |
| Language: | English |
| Published: |
KTH, Skolan för datavetenskap och kommunikation (CSC)
2016
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-188132 |