Question 1

What is the purpose of k-fold cross-validation in machine learning?

Options :

A : To select the best hyperparameters for a model

B : To preprocess the input data before training the model

C : To evaluate the performance of a trained model

D : To assess the performance and generalization of a model by splitting the dataset into k subsets

Answer: D

Question 2

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 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

What is the primary objective of feature importance analysis in machine learning?

Options :

A : To select the best hyperparameters for the model

B : To preprocess the input data before training the model

C : To identify the most influential features for predicting the target variable

D : To evaluate the performance of a trained model

Answer: C

Question 5

What does the acronym "ALS" stand for in the context of recommender systems?

Options :

A : Alternating Least Squares

B : Aggregated Least Squares

C : Average Least Squares

D : Adaptive Learning System

Answer: A

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