A Naive Bayes Classifier
A machine learning algorithm that leverages Bayes theorem to predict an object’s class from its features, as a supervised learning model requiring a training dataset to determine class probabilities and applying them to classify new instances.
Areas of application
- Spam Filtering
- Text Classification
- Medical Diagnosis
- Weather Prediction
- Recommendation Systems
- Sentiment Analysis
- Document Categorization
Example
Spam detection in email messages is an area where the naive Bayes classifier excels.