Thanks, is this self-explanatory?

"""
A comparison of different alpha values on synthetic datasets. The plot shows that different alphas yield different decision functions.
Alpha is a regularization term, or also known as penalty term,  that combats overfitting by  constraining the weights' size. Increasing alpha encourages smaller weights and may fix high variance - a  sign of overfitting, resulting in a decision function plot that may appear with lesser curvatures. Similarly, decreasing alpha encourages larger weights and may fix high bias - a sign of underfitting, potentially resulting in more curvatures in the decision function plot.
"""