2017-12-12 HomeProgramming Languagehow can we treat non linear predictors (variables ) in logistic regression using R? [on hold] how can we treat non linear predictors (variables ) in logistic regression using R? [on hold] By moting1a Programming Language 0 Comments 问题内容: How can we treat non linear predictors (variables ) in logistic regression using R? I have heard about Logistic Regression with regression splines can any one tell how to use it with example? 问题评论: DataScience SE might be of help can you plot the distribution of the regressor? Some descriptive statistics would help. Also, since this is statistics related you may get the most help in CrossValidated Stack Exchange. Normalizing the data, between say, 0 and 1 may solve your problem. 原文地址： https://stackoverflow.com/questions/47752737/how-can-we-treat-non-linear-predictors-variables-in-logistic-regression-using Tags:data-science, machine-learning, r Related Posts java – MTOM attachment size limit in WebSphere application server mysql – 如何在使用MySQL的Ruby on Rails迁移中处理太长的索引名称？ Angular 5 httpClient – using PUT jsonplaceholder 404 About Author moting1a Add a Comment Cancel replyYou must be logged in to post a comment.