Support Vector Machine, Support Vector Classifier, Kernel Trick, Rbf, Polynomial.
all individual data points. https://www.analyticsvidhya.com/blog/2021/05/support-vector-machines/ The formula of SVC is y( β0 + Σβi*Xi ) ≥ M(1-ϵ) , Σβ²=1, 0≤Σϵ≤C, Where y = dependent variable , β0 = intercept, Xi= independent variable , βi = coefficient of those independent variable, M = smallest