What Does Logistic Regression Mean?
Logistic regression is a supervised learning algorithm used in machine learning to predict the probability of a binary outcome. A binary outcome is limited to one of two possible outcomes. Examples include yes/no, 0/1 and true/false.
Techopedia Explains Logistic Regression
Logistic regression uses something called the Sigmoid function to map predicted predictions and their probabilities. On a graph, if the estimated probability is greater than a pre-defined acceptance threshold, then the model will predict that the instance belongs to that class. If the estimated probability is less than the pre-defined threshold on the graph, then the model will predict the instance does not belong to the class.
