In a text classification task, why might you choose a Naive Bayes classifier over a more complex model like a deep learning algorithm?
- Deep learning is not suitable for text classification
- Deep learning requires less preprocessing
- Naive Bayes always outperforms deep learning
- Naive Bayes might be preferred for its simplicity and efficiency, especially with limited data
Naive Bayes is a probabilistic classifier that can be simpler and more computationally efficient, especially when dealing with small or medium-sized datasets. In contrast, deep learning models might require more data and computational resources.
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