Abstract
At the end of this chapter, you will be able to:•Evaluate the results of statistical tests concerning logistic models.•Develop confidence intervals of the model parameters for the purpose of prediction.•Elaborate the sensitivity analysis and understand the concepts of cutoff, overall model efficiency, sensitivity and specificity.•Interpret the sensitivity curve and the ROC curve.•Develop logistic and multinomial regression models in R and interpret their results.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Data Science, Analytics and Machine Learning with R
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
