Supervised Learning Algorithm - Logistic Regression -for classification, not regression

Logistic regression is a supervised learning algorithm used for classification, not regression, that predicts the probability of a categorical outcome by modeling the relationship between independent variables and the log-odds of the dependent variable. It is primarily used for binary classification (e.g., spam/not spam) but can be extended to handle multiple categories. How it works Classification: Despite its name, logistic regression is a classification algorithm used to predict a discrete or categorical outcome.  Probability output: Instead of predicting a continuous value like linear regression, it outputs a probability value between 0 and 1 using a logistic function (sigmoid function).  ' Prediction threshold: This probability is then mapped to a discrete class using a threshold, commonly 0.5. For example, a probability greater than 0.5 might be classified as class 1, and less than or equal to 0.5 as class 0.  Relationship modeling: It models the relationship between input variables (both numeric and categorical) and the log-odds of the dependent variable.  Training: The model is trained by finding the parameters that maximize the likelihood of the observed outcomes in the training data, a process often achieved using a method like gradient descent.  (PDF) Study of Supervised Logistic Regression AlgorithmNov 21, 2024 — Abstract. Logistic regression is a widely used supervised learning algorithm, primarily applied to binary classificati...ResearchGateLogistic Regression Mechanism in Supervised Classification ...Sep 6, 2023 — The threshold of 0.5 is standard, but it can be adjusted depending on the specific problem or based on other criteria l...Medium · Deryl Baharudin Sopandi Key applications Medical diagnosis: Predicting the probability of a patient having a disease based on their symptoms and test results.  Email filtering: Classifying emails as either spam or not spam.  Credit scoring: Determining the probability of a loan applicant defaulting based on their financial history.  University admissions: Predicting the likelihood of a student being accepted to a university based on their scores and other factors. Disclaimer and Copyright : This video is not made for Monetary benefits and will come under any.. Please check polytechnic.bh for world-class education and a wide spread of courses suitable for people in all walks of life.