Logistic Regression Implementation in R for Automotive Crash Testing

Logistic Regression Implementation in R for Automotive Crash Testing

NPTEL-NOC IITM via YouTube Direct link

Summary of model

10 of 15

10 of 15

Summary of model

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Logistic Regression Implementation in R for Automotive Crash Testing

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  1. 1 Intro
  2. 2 Key points from previous lecture
  3. 3 Automotive Crash Testing- Problem Statement
  4. 4 Getting things ready
  5. 5 Reading the data
  6. 6 Understanding the data
  7. 7 Structure of the data
  8. 8 Structure of train data
  9. 9 Building a logistic regression model
  10. 10 Summary of model
  11. 11 Finding the odds predict()
  12. 12 Plotting the probabilities
  13. 13 Identifying probabilities associated with the Car Type
  14. 14 Predicting on test data
  15. 15 Confusion matrix

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