Classification models: Knowledge check

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Lesson 09 / Classification models0%

1. Watch the video2. Complete the test

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1 What is the classification task in the email example shown in the video? Assigning emails to categories such as spam or legitimate. Predicting the exact number of emails that will arrive next month. Estimating the monetary value of each email.

2 What is a decision boundary? The maximum number of examples allowed in a data set. The point at which training must stop, regardless of model performance. A boundary that separates the regions associated with different classes.

3 In the video's visual comparison, which algorithm can form a smooth, free-form decision boundary? Logistic regression, shown with a straight line. A neural network. A decision tree, shown with staircase-shaped blocks.

4 Which learning loop do classification models follow, according to the video? Predict, measure the error, and adjust. Assign random labels, ignore the errors, and stop. Draw a boundary once and never update it.

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