About this document
Data Science Insights with K-Means & AI by gasaas is a document available to read on EtoBox.
The document discusses the naïve Bayes classification model for document classification. It explains that the model calculates the probabilities of a document belonging to different classes (e.g. p(app|words) and p(other|words)) based on the words in the document. It makes the independence assumption that word probabilities are independent, allowing it to simplify the calculations. However, it notes that words are not truly independent in documents. Nonetheless, the naïve Bayes model often performs reasonab
- Author
- gasaas
- Language
- EN