The ________ classifier calculates the probability of a particular event based on prior knowledge of conditions related to that event.
- Decision Tree
- K-Means
- Naive Bayes
- Support Vector Machine
The Naive Bayes classifier calculates the probability of an event based on prior knowledge of conditions. It's a probabilistic classifier.
Loading...
Related Quiz
- For the k-NN algorithm, what could be a potential drawback of using a very large value of k?
- In the multi-armed bandit problem, the challenge is to balance between exploration of arms and ________ of the best-known arm.
- The value at which the sigmoid function outputs a 0.5 probability, thereby determining the decision boundary in logistic regression, is known as the ________.
- A finance company wants to analyze sequences of stock prices to predict future market movements. Given the long sequences of data, which RNN variant would be more suited to capture potential long-term dependencies in the data?
- SVMs aim to maximize the margin, which is the distance between the decision boundary and the nearest ______ from any class.