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2 cards from this section. Quick, good the night before a test.
What structure do we use for input when predicting a new student's outcome?
Think about how we organize data in rows and columns.
What is the output of the model's prediction?
Recall the meaning of the numbers we used for passing and failing.
What is the output of the model.predict() function?
Think about how we defined passing and failing.
True or False: You can feed non-numerical data directly into the predict function.
What was the key preprocessing step in our project?
You receive a new student's information indicating they studied for 3 hours, had 75% attendance but did not take a preparation course. Formulate a way to predict their outcome using the model. What will be your input, and what do you expect if their model performance is reliable?
Compare their attributes against the previously successful students.
If two students have identical attendance and preparation course status but different study hours (one studied 2 hours and another 10), how would you expect their predictions to differ? Use their study hours as a core factor in your prediction.
Think back to how study hours affected past predictions.
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