The Naive Bayes classifier assumes that the presence or absence of a particular feature of a class is ________ of the presence or absence of any other feature.
- Correlated
- Dependent
- Independent
- Unrelated
Naive Bayes assumes that features are independent of each other. This simplifying assumption helps make the algorithm computationally tractable but might not hold in all real-world cases.
Loading...
Related Quiz
- In the Actor-Critic approach, the ________ provides a gradient for policy improvement based on feedback.
- Which variant of RNN is designed to better capture long-term dependencies in sequence data?
- Why do traditional RNNs face difficulties in learning long-term dependencies?
- What is the primary purpose of a neural network in machine learning?
- Why is feature selection important in building machine learning models?