Support Vector Machines (SVMs) have become a cornerstone of machine learning, widely adopted for their robustness in classification and regression tasks across diverse fields ranging from remote ...

The demo creates a linear support vector regression model, evaluates the model accuracy on the training and test data, and then uses the model to predict the target y value for x = [-0.1660, 0.4406, ...

A support vector machine (SVM) is a software system that can perform binary classification. For example, you can use an SVM to create a model that predicts the sex of a person (male, female) based on ...

Bing Li, Andreas Artemiou, Lexin Li, PRINCIPAL SUPPORT VECTOR MACHINES FOR LINEAR AND NONLINEAR SUFFICIENT DIMENSION REDUCTION, The Annals of Statistics, Vol. 39, No. 6 (December 2011), pp. 3182-3210 ...

Other common machine learning regression algorithms (short of neural networks) include Naive Bayes, Decision Tree, K-Nearest Neighbors, LVQ (Learning Vector Quantization), LARS Lasso, Elastic Net ...