Question 1

What is the primary purpose of model evaluation in machine learning?

Options :

A : To make predictions on new, unseen data

B : To preprocess the input data before training the model

C : To select the best hyperparameters for the model

D : To assess the performance and generalization ability of a trained model on unseen data

Answer: D

Question 2

Which exploratory data analysis (EDA) method is used to visualize the relationship between two continuous variables?

Options :

A : Scatter plot

B : Box and whisker plot

C : Histogram

D : Bar plot

Answer: A

Question 3

Which of the following deployment environments involves hosting and running machine learning models on remote servers managed by third-party cloud service providers?

Options :

A : Edge deployment

B : Cloud deployment

C : Hybrid deployment

D : On-premises deployment

Answer: B

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

In a decision tree, what does a split represent?

Options :

A : A decision based on a feature and a threshold that divides the data into two or more subsets

B : A pruning technique to reduce overfitting

C : The output of the decision tree algorithm

D : A data point in the dataset

Answer: A

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