If machine learning model output involves target variable then that model is called as

Solution(By Examveda Team)

If a machine learning model's output involves the target variable, then that model is called:

Option A: Descriptive Model
A descriptive model is primarily focused on describing the relationships and patterns in the data. While it may involve the target variable, it doesn't necessarily predict it. Therefore, Option A is not the correct answer.

Option B: Predictive Model
A predictive model is designed to predict or estimate the target variable based on input features and data patterns. If a machine learning model's output involves the target variable, it is indeed a predictive model. So, Option B is the correct answer.

Option C: Reinforcement Learning
Reinforcement learning is a specific type of machine learning where agents learn to make decisions to maximize rewards over time. While it may involve target variables in the form of rewards or goals, it is not necessarily the same as a model whose output directly involves the target variable. Therefore, Option C is not the correct answer.

Option D: All of the Above
While descriptive and predictive models are relevant, reinforcement learning does not fit the description of a model whose output directly involves the target variable. Therefore, Option D is not the correct answer.

In summary, if a machine learning model's output involves the target variable, it is called a predictive model, making Option B the correct choice.