Several significant research studies related to Preventing Phishing Attacks for Cyber Threat Mitigation have been reviewed ...

Article citations More>> Kirasich, K., Smith, T. and Sadler, B. (2018) Random Forest vs Logistic Regression: Binary Classification for Heterogeneous Datasets. SMU Data Science Review, 1, Article 9.

A voluntary or involuntary parting of an employee from an organization is known as and the strategies to maintain an employee are known as Employee attrition (turnover) and retention. Employee ...

My objective is to serve as the administrator of a university department and assess the likelihood of admission for each applicant by using logistic regression for binary classification. I will ...

This article presents a complete demo program for logistic regression, using batch stochastic gradient descent training with weight decay. Compared to other binary classification techniques, logistic ...

This manuscript introduces a general-purpose software application, classLog, that can train sequence classifiers based on user-labelled training data for use in classification of unknown sequences.

Add a description, image, and links to the binary-classification-using-logistic-regression topic page so that developers can more easily learn about it. Curate this topic ...