Machine Learning, Logistic Regression, Non Linear.
in Table 1 below. c_0 is scaled to unity so we can compare. Clearly the coefficients obtained solving dlog(LL)/dc = 0 are closest to the actual values used in generating the data. Table 1. Coefficients obtained for the elliptic boundary 4.2 f(x,y; c) = c_0 + c_1 sin(c_2 x²) + c_3 y = 0 Figure 3