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2 cards from this section. Quick, good the night before a test.
Define classification in your own words.
Think about categorizing things.
Give one real-life example of classification.
Consider everyday digital experiences.
What is the main purpose of classification?
Consider what classification aims to achieve.
True or False: Classification is a supervised learning technique.
Think about how the training is done.
Consider a dataset containing customer reviews labeled as 'positive' or 'negative'. Describe how classification algorithms can be employed to automate this labeling process.
Think about how keywords might indicate sentiment.
Imagine you are tasked with designing a model that predicts if patients have a specific disease based on their symptoms. Describe your approach.
Consider what data you would require to train the model effectively.
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