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4 cards from this section. Quick, good the night before a test.
What does accuracy measure in a machine learning model?
Think about how you assess overall performance.
What is one purpose of data preprocessing?
Consider the steps we took before building our model.
What method is used to convert categorical data to numerical data?
Consider how we processed the preparation_course feature.
True or False: Precision is the measure of total correct predictions.
Focus on the definitions of precision and accuracy.
Imagine our model predicted that 80 out of 100 students passed. If 60 actually passed, calculate precision and recall.
Use the formulas for precision and recall.
Explain why balancing precision and recall is important in educational assessments.
Consider the impacts of false positives and false negatives in student assessments.
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