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4 cards from this section. Quick, good the night before a test.
What is the primary purpose of classification in machine learning?
Think about the output of classification tasks.
Name one algorithm used for classification.
Remember, we discussed several algorithms.
What classification algorithm is suitable for binary outcomes?
Think of how we categorize data types.
True or False: K-Nearest Neighbors uses a single linear decision boundary.
Consider how KNN looks at nearby points.
Given a dataset with three features, how would you decide whether to use Logistic Regression or a Decision Tree?
Visualize the relationships in your dataset.
You have a binary classification problem, produce a confusion matrix and calculate accuracy, precision, and recall with sample values.
Make sure you understand each term and formula.
4 more questions in this section. Enroll free to practise them all.
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