Explain likelihood in context of naiveBayes algorithm?

Explain likelihood in context of naiveBayes algorithm?




Answer: Likelihood is the probability of classifying a given observation as 1 in presence of some other variable. For example: The probability that the word 'FREE' is used in previous spam message is likelihood.

Popular posts from this blog

After analyzing the model, your manager has informed that your regression model is suffering from multicollinearity. How would you check if he's true? Without losing any information, can you still build a better model?

Is rotation necessary in PCA? If yes, Why? What will happen if you don't rotate the components?

What does Latency mean?