Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

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, ...

Chao Chen, Xingyuan Zhang, Research on laser ultrasonic surface defect identification based on a support vector machine, Science Progress (1933-), Vol. 104, No. 4 (2021), pp. 1-17 ...

Amit Saha, K. N. Singh, Mrinmoy Ray, Santosha Rathod, Sharani Choudhury, Modelling and forecasting cotton production using tuned-support vector regression, Current ...

In internal validation, LR performed with comparable accuracy (0.732; 95% CI, 0.698 to 0.764), sensitivity (0.697; 95% CI, 0.647 to 0.744), and specificity (0.767; 95% CI, 0.720 to 0.809) to penalized ...