Data Science FREE Data Science MCQ Question and Answers 2

Question 1

Which technique is used to reduce the number of features in a dataset while preserving most of the variance?

Accepted Answer

Principal Component Analysis

Answer

Linear Regression

Answer

K-Means Clustering

Answer

Decision Tree

Question 2

What does the term 'overfitting' refer to in a machine learning model?

Accepted Answer

The model performs well on training data but poorly on unseen data

Answer

The model performs poorly on both training and test data

Answer

The model has too few parameters

Answer

The model uses too little training data

Question 3

In a confusion matrix, what does the 'recall' metric measure?

Accepted Answer

The proportion of actual positives correctly identified

Answer

The proportion of predicted positives that are correct

Answer

The overall accuracy of the model

Answer

The harmonic mean of precision and recall

Question 4

Which of the following is a supervised learning algorithm?

Accepted Answer

Random Forest

Answer

K-Means Clustering

Answer

DBSCAN

Answer

Apriori

Question 5

What is the purpose of cross-validation in model evaluation?

Accepted Answer

To estimate how well a model generalizes to independent datasets

Answer

To increase the size of the training set

Answer

To remove outliers from the data

Answer

To select the best features for the model

Question 6

Which Python library is primarily used for creating dataframes and performing data manipulation?

Accepted Answer

Pandas

Answer

Matplotlib

Answer

Scikit-learn

Answer

TensorFlow