MIT 15.071 The Analytics Edge, Spring 2017 4.2.5 An Introduction to Trees - Video 3: Splitting and Predictions
4.2.5 An Introduction to Trees - Video 3: Splitting and Predictions Transcript and Lesson Notes
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair How to control how many CART tree splits are generated. License: Creative Commons BY-NC-SA Mor
Quick Summary
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair How to control how many CART tree splits are generated. License: Creative Commons BY-NC-SA Mor
Key Takeaways
- Review the core idea: MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair How to control how many CART tree splits are generated. License: Creative Commons BY-NC-SA Mor
- Understand how 15-071-the-analytics-edge-spring-2017 fits into 4.2.5 An Introduction to Trees - Video 3: Splitting and Predictions.
- Understand how auc value fits into 4.2.5 An Introduction to Trees - Video 3: Splitting and Predictions.
- Understand how minbucket parameter fits into 4.2.5 An Introduction to Trees - Video 3: Splitting and Predictions.
- Understand how overfitting fits into 4.2.5 An Introduction to Trees - Video 3: Splitting and Predictions.
Key Concepts
Full Transcript
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair How to control how many CART tree splits are generated. License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/terms More courses at https://ocw.mit.edu
Lesson FAQs
What is 4.2.5 An Introduction to Trees - Video 3: Splitting and Predictions about?
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair How to control how many CART tree splits are generated. License: Creative Commons BY-NC-SA Mor
What key concepts are covered in this lesson?
The lesson covers 15-071-the-analytics-edge-spring-2017, auc value, minbucket parameter, overfitting, roc curve.
What should I learn before 4.2.5 An Introduction to Trees - Video 3: Splitting and Predictions?
Review the previous lessons in MIT 15.071 The Analytics Edge, Spring 2017, then use the transcript and key concepts on this page to fill any gaps.
How can I practice after this lesson?
Practice by applying the main concepts: 15-071-the-analytics-edge-spring-2017, auc value, minbucket parameter, overfitting.
Does this lesson include a transcript?
Yes. The full transcript is visible on this page in indexable HTML sections.
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