advertising to that user profile. If not then put in the negative list for that user. Which of the Machine Learning Model can be used for that requirement?
1. Regression
2. MultiClass
3. Binary
4. Regularization
5. Ternary
Correct Answer : 3 Exp : As you can see in the question that, you want to choose a Machine Learning model which can help you to find true and false condition for a user buying a product or not. It means only two
output can be expected. Hence, we can say in this case Binary Machine Learning Model can be used.
About other options :
Regression: Using this model you can predict numeric value and it can be more than two outputs. And does not satisfy the requirement in the given question.
MultiClass : It can be used to predict values from already defined group of values. Again not as per the requirement. You can say that you will be using true and false two values in the group. However, it is not
recommended for that, rather you will go for Binary ML model for this.
Regularization: Regularization is a machine learning technique that you can use to obtain higher-quality models.
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