The response variable is coded 0 for bad consumer and 1 for good. It contains 62 characteristics and 1000 observations, with a target variable (Class) that is allready defined. We will use the GermanCredit dataset in the caret package for this example. The following content will provide the background and theory to ensure that the right technique are being utilized for evaluating logistic regression models in R. After training a statistical model, it’s important to understand how well that model did in regards to it’s accuracy and predictive power. This post provides an overview of performing diagnostic and performance evaluation on logistic regression models in R.
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