Saturday 6 December 2014

Naive Bayes Prediction

Bayesian probability allows prior knowledge and logic to be applied to 
uncertain statements.

p(ci|w) = p(w|ci)p(ci)/p(w)

Pros: works with small amount of data, handles multiple classes
Cons: Sensitive to how the input data is prepared
Works with: Nominal values.

The formulation makes some naive assumptions.
1. independence among the features
2. every feature is equally important
Reference:
https://mahout.apache.org/users/classification/bayesian.html
https://mahout.apache.org/users/basics/creating-vectors-from-text.html
https://gist.github.com/Jossef/e6c8fc0c31f0c2bf036a/download#

No comments:

Post a Comment