Practice - Building a Decision Tree: The Splitting Process
Practice Questions
Test your understanding with targeted questions
What is the purpose of the splitting process in decision trees?
💡 Hint: Consider why we want data to be pure.
Define Gini impurity in your own words.
💡 Hint: Think about how probability relates to class labels.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the main goal of the splitting process in a decision tree?
💡 Hint: Remember the primary focus of each node in a decision tree.
True or False: Gini impurity and Entropy both measure node purity.
💡 Hint: Think about how both contribute to understanding node quality.
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Challenge Problems
Push your limits with advanced challenges
Design a decision tree for predicting whether a student will pass a course based on hours studied, attendance, and previous grades. Include key impurity measures and pruning techniques.
💡 Hint: Think about each feature's influence on passing rates.
Evaluate the potential of using decision tree models in healthcare classifications. Discuss how pruning may impact such models.
💡 Hint: Reflect on how patient data nuances can affect predictions and the need for model clarity.
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Reference links
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