- Categorised words to different labels using decision tree and naive Bayes Model under C++
- Compared different parameters used to build the tree and the accuracy graphically using MATLAB
- Challenged to increase the accuracy by adding the word dependencies to the parameters and changing the splitting parameters
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Categorize news group message into specific group using decision trees and naive Bayes Model
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