MIT 15.071 The Analytics Edge, Spring 2017 3.2.12 Introduction to Logistical Regression - Video 7: Interpreting the Model
3.2.12 Introduction to Logistical Regression - Video 7: Interpreting the Model Transcript and Lesson Notes
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Dimitris Bertsimas Examination of how to interpret the model developed in this sequence. License: Creative Co
Quick Summary
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Dimitris Bertsimas Examination of how to interpret the model developed in this sequence. License: Creative Co
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: Dimitris Bertsimas Examination of how to interpret the model developed in this sequence. License: Creative Co
- Understand how 15-071-the-analytics-edge-spring-2017 fits into 3.2.12 Introduction to Logistical Regression - Video 7: Interpreting the Model.
- Understand how area under the curve fits into 3.2.12 Introduction to Logistical Regression - Video 7: Interpreting the Model.
- Understand how auc fits into 3.2.12 Introduction to Logistical Regression - Video 7: Interpreting the Model.
- Understand how binary outcome fits into 3.2.12 Introduction to Logistical Regression - Video 7: Interpreting the Model.
Key Concepts
Full Transcript
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Dimitris Bertsimas Examination of how to interpret the model developed in this sequence. 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 3.2.12 Introduction to Logistical Regression - Video 7: Interpreting the Model about?
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Dimitris Bertsimas Examination of how to interpret the model developed in this sequence. License: Creative Co
What key concepts are covered in this lesson?
The lesson covers 15-071-the-analytics-edge-spring-2017, area under the curve, auc, binary outcome, confusion matrix.
What should I learn before 3.2.12 Introduction to Logistical Regression - Video 7: Interpreting the Model?
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, area under the curve, auc, binary outcome.
Does this lesson include a transcript?
Yes. The full transcript is visible on this page in indexable HTML sections.
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