Supervised Learning Quiz (Easy 2)

Which of these metrics is commonly used to evaluate a regression model?

Which evaluation metric is commonly used for classification problems in supervised learning?

Which algorithm is commonly used for regression problems in supervised learning?

Which of the algorithms mentioned below can be used for classifying emails into ‘spam’ or ‘not spam’?

When choosing a Supervised Learning algorithm, what factors should be considered?

Explain the concept of imbalanced datasets in the context of supervised learning. How does it impact model performance?

What is the purpose of a confusion matrix in supervised learning?

In a confusion matrix for a binary classification problem, what does “true positive” represent?

What is the main advantage of using a neural network in supervised learning?

What is the difference between precision and recall in the context of classification?