Question 1

Which concept refers to the process of selecting only a subset of relevant features for model training?

Options :

A : Model validation

B : Model deployment

C : Feature selection

D : Feature engineering

Answer: C

Question 2

Which statistical metric measures the proportion of variance explained by a regression model?

Options :

A : R-squared

B : F statistic

C : Adjusted R-squared

D : Root mean square error (RMSE)

Answer: A

Question 3

What process involves transforming data into a standard format suitable for analysis or modeling?

Options :

A : Data visualization

B : Feature engineering

C : Data preprocessing

D : Model evaluation

Answer: C

Question 4

Which of the following is a tree-based ensemble learning algorithm that builds multiple decision trees and merges them together to get a more accurate and stable prediction?

Options :

A : Decision tree

B : Random forest

C : Bagging

D : Gradient boosting

Answer: B

Question 5

What is the term used to describe the process of combining multiple datasets based on a common key or attribute?

Options :

A : Merging/combining

B : Cleaning

C : Imputation

D : Encoding

Answer: A

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