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

Solution(By Examveda Team)

If a machine learning model's output does not involve 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. It may not necessarily involve predicting the target variable. Therefore, Option A is a valid description.

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 does not involve the target variable, it is not a predictive model. So, Option B is not 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 does not necessarily imply predicting the target variable. Therefore, Option C is not the correct answer.

Option D: All of the Above
Since at least one of the options (Option A) represents a model that does not involve the target variable, Option D is not the correct answer.

In summary, a machine learning model that does not involve the target variable is called a descriptive model, making Option A the correct choice.