Logistic regression is a statistical method used to model the probability of a binary outcome based on one or more predictor variables. Unlike linear regression, which predicts a continuous outcome, logistic regression predicts the likelihood of a categorical outcome. This makes it particularly useful in fields like nanotechnology for classifying outcomes such as the presence or absence of a particular property in nanomaterials.
