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  1. R

    Binary logistic regression

    Thanks for your reply. If I don't need to use the 0.5 probability cutoff for outcome classification, what should I use instead? In the sample, the 0/1 is 50/50 distributed. Actually I can add the file here. Dataset: -one column of binary data (0 or 1) -36 columns of variables which go...
  2. R

    Binary logistic regression

    Dataset: -one column of binary data (0 or 1) -18 columns of variables which go roughly between -200 and 200 Aim: To create a model which can predict the dependent variable based on the independent variables. In the future on data which is not available yet. Note: The model doesn't need to...