Support vector machines are one of the most popular machine learning methods for classification. Despite its great success, the SVM was originally designed for binary classification. Extensions to the ...

The Journal of the Operational Research Society, Vol. 60, No. 8, Data Mining and Operational Research: Techniques and Applications (Aug., 2009), pp. 1116-1122 (7 pages) The paper presents a novel ...

The Data Science doctor delves into supporting vector machines, software systems that can perform binary classification such as creating a model to predict the gender of a person based on their age, ...

Medical datasets often present a major challenge for machine learning models: skewness in continuous variables such as age, ...

"A building is only as strong as its foundation" is a common adage to signify the importance of having a stable and solid base to build upon. The type and design of foundation are important for ...

On the analytical front, machine learning and deep learning methods have become increasingly prevalent. Random forest and ...

Recent scientific article explores the use of machine learning techniques to identify the key risk factors associated with ...

Overview Understanding key machine learning algorithms is crucial for solving real-world data problems effectively.Data scientists should master both supervised ...