Explore MATLAB source code curated for "逻辑回归" with clean implementations, documentation, and examples.
A comprehensive MATLAB implementation of Logistic Regression (LR) classifier for machine learning, featuring detailed source code and four experimental datasets for practical validation
The attached files test0-9 are generated after executing MATLAB code. Taking test0 (980x784) as an example, each row represents a grayscale image of a digit. Execution allows visualization of each image's appearance and characteristics.
This program provides a logistic regression classification implementation with comprehensive usage instructions, offering a downloadable reference for binary classification tasks.
Classification experiment based on logistic regression, tested on the UCI Adult dataset with implementation details and performance evaluation.
Implementation of logistic regression for binary classification using gradient descent optimization in MATLAB with classification boundary visualization
Experiment demonstrating logistic regression implementation for binary classification tasks