Provide two examples of the given python program exicution use the different input data $"""$

Logistic function

$n$

import numpy as $np$

import matplotlib.pyplot as plt

from sklearn.linear$\_$model import LogisticRegression, LinearRegression

from scipy.special import expit

# Generate a toy dataset, it's just a straight line with some Gaussian noise:

xmin,xmax$=-5,5$

n$\_$samples $=100$

np$.$random. seed $(0)$

$x=np*r$ andom.normal $($size$=$n$\_$samples$)$

$y=(x>0).$ astype$($float$)$

$x[x>0]**=4$

$x+={0\mathrm{.}3}^{**}$ np$.$random.normal$($size$=$n$\_$samples$)$

$.$ newaxis