PY
py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
# Machine Learning - Bob the Builder
from sklearn.linear_model import LogisticRegression
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()]]
res = LogisticRegression().fit(X, y)
print(res.predict(datapoint)[0])
"""
copy below for the input
6
1 3
3 5
5 7
3 1
5 3
7 5
1 1 1 0 0 0
2 4
"""
Enter to Rename, Shift+Enter to Preview
OUTPUT
Run