Data Science, Machine Learning, Support Vector Machine, Python.
minimize 1/2 ||w||² + C sum(ξᵢ) subject to yᵢ(wᵀ xᵢ + b) >= 1 — ξᵢ, for all i ξᵢ >= 0, for all i Where C is a hyperparameter that manages the number of points that will be misclassified or fault the margin. If C is too high, it will lead the model to overfit the noise, but if it is to low, the