Comparing the Novel Gaussian Naive Bayes method with Logistic Regression for Hate Speech Prediction with the aim of increasing accuracy. Materials and Methods: This proposed Machine learning uses ...

github-actions changed the title algorithm example not working on lyrat mini v1.2 algorithm example not working on lyrat mini v1.2 (AUD-6461) on Jun 19 ...

Mehta, C.R. and Patel, N.R. (1995) Exact Logistic Regression Theory and Examples. Statistics in Medicine, 14, 2143-2160.

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

Real-world statistical systems are often complex, and efficiently detecting minor anomalies can be the key to avoiding catastrophe. For example, small timescale changes in the current and voltage ...

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 ...

Machine learning has been subject to discussion from the legal and ethical points of view in recent years. Automation of the decision-making process can lead to unethical acts with legal consequences.

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 ...