Review:
Naive Bayes Classifier
overall review score: 4.2
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score is between 0 and 5
The Naive Bayes Classifier is a simple probabilistic classifier based on applying Bayes' theorem with strong independence assumptions between the features.
Key Features
- Fast and easy to implement
- Requires a small amount of training data
- Works well with high-dimensional data
Pros
- Efficient for large datasets
- Good for text classification tasks
- Easy to interpret results
Cons
- Assumes independence between features which may not always hold true
- Sensitivity to irrelevant features can affect performance