Supervised Learning and Model Generalization Quiz
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Questions and Answers

Which type of learning aims to build a model that can make accurate predictions on new, unseen data?

  • Supervised learning (correct)
  • Reinforcement learning
  • Semi-supervised learning
  • Unsupervised learning

What do we call the data that we use to evaluate the model's ability to generalize?

  • Test data (correct)
  • Supervised data
  • Training data
  • Unseen data

What do we mean when we say a model is able to generalize?

  • The model can make accurate predictions on unseen data (correct)
  • The model can only make predictions on the training data
  • The model can memorize the training data
  • The model is unable to make predictions

Which scenario can lead to a model being accurate on the training set but not on the test set?

<p>Building a very complex model (D)</p> Signup and view all the answers

What is the goal of the novice data scientist in the example?

<p>To predict whether a customer will buy a boat (B)</p> Signup and view all the answers

What can be a potential problem if the training and test sets do not have enough in common?

<p>The model may not be accurate on the test set (B)</p> Signup and view all the answers

What is the purpose of including records of customers who are not interested in buying a boat in the example?

<p>To differentiate between potential buyers and non-buyers (C)</p> Signup and view all the answers

What is the main reason for building a model that can make accurate predictions on the training set?

<p>To ensure the model can generalize to new data (C)</p> Signup and view all the answers

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