Python In Practice - 15 Projects to Master Python - Testing the Performance of the Model

This video tutorial covers the process of testing a linear regression model. It begins with dividing data into training and testing sets, followed by training the model using the training set. The tutorial then demonstrates how to create a testing set and use it for predictions. Finally, it evaluates the model's performance by comparing predicted and actual values, highlighting areas where the model performs well and where it needs improvement.

How do you compare the predicted values with the actual values?

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What challenges are faced when visualizing the predicted and actual values?

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Discuss the importance of plotting the predicted and actual values.

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What conclusions can be drawn about the model's performance based on the predictions?

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