Support Vector Machine, Machine Learning, Artificial Intelligence, Data Science, Ambarish 224.
actual values. The model is trained by minimizing the residual sum of squares (RSS) or mean squared error (MSE). B. Discussion of the use of epsilon-insensitive loss and slack variables to handle non-linear regression: When the data is non-linearly separable, the SVM algorithm uses