| Popis: |
The Naive Bayes classifier is one of the most basic techniques to classification that may nevertheless provide good accuracy. Bayesian reasoning, of which the naive Bayes classifier is an example, is based on the Bayes rule, which relates probabilities that are conditional and marginal. The strategy that we utilized in this project was to implement such a Naive Bayes Algorithm to classify based on a decision attribute that is produced by mining the answer dataset from numerous participants and assigning a class based on this procedure. We successfully solved our problem statement of Difficulty Analysis of a Question Paper Using a Classification Algorithm and learned about Opinion Mining and Naive Bayes Classifiers along the way |
