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Test / Execute the given python program at least 2 times ( using the different input data ) and provide the typed code also

Test/ Execute the given python program at least 2 times (using the different input data) and provide the typed code also """
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+=0.3** np.random.normal(size=n_samples)
. newaxis
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