Data Science Data Science MCQ 5

Question 1

Which evaluation metric is most appropriate for a regression problem?

Accepted Answer

Root Mean Squared Error

Answer

RMSE measures the average magnitude of prediction errors for continuous outputs.

Question 2

What is the curse of dimensionality?

Accepted Answer

Data becomes sparse and distances less meaningful as features increase

Answer

As dimensions grow, data sparsity increases and distance-based methods degrade.

Question 3

Which type of join returns only the rows that have matching keys in both tables?

Accepted Answer

INNER JOIN

Answer

An INNER JOIN returns only rows where the join condition matches in both tables.

Question 4

What does a high variance inflation factor (VIF) for a feature indicate?

Accepted Answer

Strong multicollinearity with other features

Answer

A high VIF signals that a predictor is highly correlated with other predictors.

Question 5

Which technique randomly deactivates neurons during training to reduce overfitting in neural networks?

Accepted Answer

Dropout

Answer

Dropout randomly zeroes a fraction of neurons each step, preventing co-adaptation.

Data Science Practice Test