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Results tagged with naive-bayes
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user 13516
A naive Bayes classifier is a simple probabilistic classifier based on applying Bayes' theorem with strong independence assumptions. A more descriptive term for the underlying probability model would be "independent feature model".
3
votes
How would you deal with categorical data in a naive Bayesian classifier?
For an Naive Bayes classifier, categorical values are the easiest to deal with. All you are really after is P(Feature | Class). This should be easy for the days of the week. Compute P(Monday | Class=Y …
- 1,046
1
vote
Can logistic regression's predicted probability be interpreted as the confidence in the clas...
If a classifier predicts a certain class with a probability, that number can be used as a proxy for the degree of confidence in that classification. Not to be confused with confidence intervals. For e …
- 1,046
1
vote
Is a Bayesian Classifier a good approach for text with numerical meta-data?
You can use numerical values quite easily. In the term P(Feature|scam=Yes) you could put a gaussian distribution or any other empirical distribution from training data (for e.g. sort the data, create …
- 1,046