The store manager at Navi Mumbai IKEA stores is building a machine learning model to predict probability of next order by a customer using the number of past store visits and income as the two predictors. From the exploratory analysis, the manager knows that these two variables are independent of each other and normally distributed. Which model do you recommend for him?
Linear Discriminant Analysis (LDA) Classification
❌
Quadratic Discriminant Analysis (QDA) Classification
❌
KNN Classification
❌
Naive Bayes Classification
✅

Question

The store manager at Navi Mumbai IKEA stores is building a machine learning model to predict probability of next order by a customer using the number of past store visits and income as the two predictors. From the exploratory analysis, the manager knows that these two variables are independent of each other and normally distributed. Which model do you recommend for him?

Linear Discriminant Analysis (LDA) Classification

❌

Quadratic Discriminant Analysis (QDA) Classification

❌

KNN Classification

❌

Naive Bayes Classification

✅

Accepted Answer

Naive Bayes Classification

Answer

Linear Discriminant Analysis (LDA) Classification

Answer

Quadratic Discriminant Analysis (QDA) Classification

Answer

KNN Classification

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