Article citations More>> Kumar, N.A., Jangale, L., Sathe, V., Shelke, A. and Redij, T. (2024) Study of Supervised Logistic Regression Algorithm. Alochana Journal, 13, 227-230. has been cited by the ...

A logistic regression algorithm was applied to construct a preoperative prediction model for the risk status of cervical cancer recurrence by combining clinical models with radiomics models and ...

This research aims to compare the performance of Logistic Regression and Random Forest algorithms in classifying cyber-attack types. Using a data set consisting of 494,021 data points with 42 ...

The Data Science Lab AdaBoost Regression Using C# Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the AdaBoost.R2 algorithm for regression problems (where ...

As a common linear classifier, logistic regression establishes a regression formula for the classification boundary based on existing data, enabling the accurate identification of binary ...

Common regression techniques include multiple linear regression, tree-based regression (decision tree, AdaBoost, random forest, bagging), neural network regression, and k-nearest neighbors (k-NN) ...

This study tries to detect fake job advertisements online using Novel Logistic Regression and compares its accuracy with linear regression. Data collection and model training are essential steps. This ...