PY
py
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n=int(input())
X=[]
for i in range(n):
X.append([float(x) for x in input().split()])
y=[int(x) for x in input().split()]
datapoint = [float(x) for x in input().split()]
from sklearn.linear_model import LogisticRegression
import pandas as pd
model = LogisticRegression()
model.fit(X,y)
s=model.predict([datapoint])
print(s[0])
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OUTPUT
Run