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

What is the primary purpose of the CRISP-DM (Cross-Industry Standard Process for Data Mining) framework in the context of data science projects?

Options :

A : To provide a structured approach to the entire data science life cycle

B : To optimize model performance and accuracy

C : To facilitate collaboration among team members

D : To automate data preprocessing and feature engineering

Answer: A

Question 3

What does the Gini index measure in the context of decision trees?

Options :

A : Degree of fit of a regression line to the data

B : Level of association between two categorical variables

C : Impurity or randomness in a set of data

D : Strength of linear relationship between two continuous variables

Answer: C

Question 4

Which statistical concept measures the strength and direction of the linear relationship between two continuous variables?

Options :

A : Pearson correlation

B : Entropy

C : Gini index

D : Spearman correlation

Answer: A

Question 5

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