Data Science Data Science Trivia Question and Answers 3

Question 1

What does the bias-variance tradeoff describe in machine learning?

Accepted Answer

The balance between underfitting and overfitting a model

Answer

The tradeoff between data storage cost and processing speed

Answer

The choice between supervised and unsupervised learning

Answer

The relationship between dataset size and feature count

Question 2

Which dimensionality reduction technique finds the directions of maximum variance in data?

Accepted Answer

Principal Component Analysis (PCA)

Answer

Linear Discriminant Analysis (LDA)

Answer

K-Nearest Neighbors (KNN)

Answer

Gradient Boosting

Question 3

What is a confusion matrix used for?

Accepted Answer

Evaluating classification model performance

Answer

Visualizing data distributions

Answer

Reducing dataset dimensionality

Answer

Optimizing hyperparameters

Question 4

In a random forest algorithm, what technique is used to create diverse decision trees?

Accepted Answer

Bagging with random feature selection

Answer

Gradient descent optimization

Answer

Backward elimination

Answer

Principal component rotation

Question 5

What does the term 'feature engineering' refer to in data science?

Accepted Answer

Creating new input variables from existing data to improve model performance

Answer

Building the user interface of a data application

Answer

Designing the hardware for data processing

Answer

Writing unit tests for machine learning code

Question 6

Which evaluation metric is most appropriate for imbalanced classification datasets?

Accepted Answer

F1 Score

Answer

Accuracy

Answer

R-squared

Answer

Mean Absolute Error