Question 1

What is the primary objective of logistic regression in machine learning?

Options :

A : Unsupervised Learning

B : Classification

C : Clustering

D : Dimensionality Reduction

E : Regression

F : Anomaly Detection

Answer: B

Question 2

Which of these is a benefit of using convolutional neural networks (CNNs) for image processing?

Options :

A : They require smaller datasets

B : They are less computationally intensive

C : They automatically detect important features

D : They do not require labeled data

Answer: C

Question 3

Which of these metrics is used to evaluate a classifier's performance?

Options :

A : Accuracy

B : Mean Squared Error

Correct selection

C : Precision

D : Recall

E : F1 Score

F : Root Mean Squared Error

Answer: A,C,D,E

Question 4

What is the main purpose of using activation functions in neural networks?

Options :

A : To normalize input data

B : To introduce non-linearity

C : To reduce dimensionality

D : To cluster data

Answer: B

Question 5

Which of the following is NOT a common technique for improving the performance of classification models?

Options :

A : Feature Engineering

B : Ensemble Learning

C : Hyperparameter Tuning

D : Regularization

E : Gradient Descent

F : Dimensionality Reduction

Answer: E