Artificial Intelligence Machine Learning

Question 1

Which type of machine learning uses labeled training data to learn a mapping from inputs to outputs?

Accepted Answer

Supervised learning

Answer

Supervised learning trains on labeled input-output pairs to predict outputs for new inputs.

Question 2

What is the purpose of a validation set in machine learning?

Accepted Answer

To tune hyperparameters and detect overfitting

Answer

The validation set is used during training to tune hyperparameters and monitor for overfitting.

Question 3

Which metric is most appropriate when classes in a dataset are heavily imbalanced?

Accepted Answer

F1 Score

Answer

F1 Score balances precision and recall, making it more informative than accuracy on imbalanced datasets.

Question 4

What does regularization in machine learning primarily address?

Accepted Answer

Overfitting

Answer

Regularization adds a penalty to the loss function to reduce model complexity and prevent overfitting.

Question 5

In a decision tree, what does 'pruning' accomplish?

Accepted Answer

Removes branches to reduce overfitting

Answer

Pruning removes branches that provide little power, simplifying the tree to improve generalization.

Artificial Intelligence Practice Test