![]() This tutorial explains how to create and interpret a ROC curve in SPSS. One easy way to visualize these two metrics is by creating a ROC curve, which is a plot that displays the sensitivity and specificity of a logistic regression model. Specificity: The probability that the model predicts a negative outcome for an observation when indeed the outcome is negative.Sensitivity: The probability that the model predicts a positive outcome for an observation when indeed the outcome is positive.Logistic Regression is a statistical method that we use to fit a regression model when the response variable is binary. To assess how well a logistic regression model fits a dataset, we can look at the following two metrics:
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