Quiz

Which metric is best suited for imbalanced classification problems?

What is the main advantage of using PCA (Principal Component Analysis)?

What is the main advantage of What is the main advantage of Gradient Boosting over Bagging? over Bagging?

In k-means clustering, what happens if you increase the value of k?

Which regularization method can shrink some coefficients to exactly zero?

Which algorithm uses a “kernel trick”?

In deep learning, what problem does Batch Normalization help mitigate?

What is the purpose of dropout in neural networks?

In a Random Forest, what reduces variance the most?

Which of the following algorithms is not an ensemble method?

Which activation function is most commonly used in the output layer for multi-class classification?

What does a high VIF (Variance Inflation Factor) indicate?