Nadar Logistic Access

[ \haty(x) = \frac\sum_i=1^n K\left(\fracx - x_ih\right) y_i\sum_i=1^n K\left(\fracx - x_ih\right) ]

: When linear logistic regression fails your validation set, and your data has few features—let the Nadaraya–Watson estimator draw you a smoother, more truthful curve. nadar logistic

[ \hatp(x) = \frac\sum_i=1^n K\left(\fracx - x_ih\right) y_i\sum_i=1^n K\left(\fracx - x_ih\right) ] nadar logistic