Naive Bayes Flashcards
1
Q
What is the assumption of Naive bayes?
A
Conditional Assumption - That is the predictor variables are independent of each other.
2
Q
MAP
A
Maximum A Posteriori Rule
We take the maximum value of the class probability
3
Q
How to apply Naive base for regression?
A
Naive Bayes for regression generally involves:
*Choosing a Distribution: Gaussian or Poisson, based on the nature of the target variable.
*Estimating Parameters: From the training data.
*Predicting: Using the distribution parameters to predict the target variable.
Let’s say it follows a normal distribution, then we calculate the value of mean and standard deviation. And based on those value, we calculate the probability of a given value.
