Concept: Logistic Regression

logistic regression  Logistic regression is a supervised machine learning algorithm used for classification tasks where the goal is to predict the probability Logistic regression is a statistical model used to predict the probability of a binary outcome based on one or more independent variables Its primary purpose

Logistic regression is a special case of regression analysis and is used when the dependent variable is nominally scaled This is the case, for example, with Logistic regression is used to calculate the probability of a binary event occurring, and to deal with issues of classification For example,

In deep learning, the last layer of a neural network used for classification can often be interpreted as a logistic regression In this context, one can see a Simulating a Logistic Regression Model Logistic regression is a method for modeling binary data as a function of other variables For example we might want to