Machine Learning, Svm.
in Part#1, is equal to w1*x1 + w2*x2 + w0 (the weighted average of input values, X). Combining the above, hinge-loss becomes 0 when w1*x1 + w2*x2 + w0 ≥ 1. Again, by multiplying this on either sides by the target value of y (+1 / -1) so that the equation generalizes for classifying both positive