MIT 15.071 The Analytics Edge, Spring 2017 4.2.7 An Introduction to Trees - Video 4: CART in R
4.2.7 An Introduction to Trees - Video 4: CART in R 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 Building a CART tree in R to predict the decisions of Justice Stevens and evaluate our model u
Quick Summary
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair Building a CART tree in R to predict the decisions of Justice Stevens and evaluate our model u
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 Building a CART tree in R to predict the decisions of Justice Stevens and evaluate our model u
- Understand how 15-071-the-analytics-edge-spring-2017 fits into 4.2.7 An Introduction to Trees - Video 4: CART in R.
- Understand how catools fits into 4.2.7 An Introduction to Trees - Video 4: CART in R.
- Understand how cplits fits into 4.2.7 An Introduction to Trees - Video 4: CART in R.
- Understand how data frame fits into 4.2.7 An Introduction to Trees - Video 4: CART in R.
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 Building a CART tree in R to predict the decisions of Justice Stevens and evaluate our model using a ROC curve. 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 4.2.7 An Introduction to Trees - Video 4: CART in R about?
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair Building a CART tree in R to predict the decisions of Justice Stevens and evaluate our model u
What key concepts are covered in this lesson?
The lesson covers 15-071-the-analytics-edge-spring-2017, catools, cplits, data frame, rpart package.
What should I learn before 4.2.7 An Introduction to Trees - Video 4: CART in R?
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, catools, cplits, data frame.
Does this lesson include a transcript?
Yes. The full transcript is visible on this page in indexable HTML sections.
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