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y_true = [int(x) for x in input().split()] y_pred = [int(x) for x in input().split()] import numpy as np y_true=np.array(y_t
don't
i
know
0 Voto
2 Respostas
9th Aug 2022, 4:39 PM
Agnesh Vinciya
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().
python
3 Votos
3 Respostas
15th Apr 2021, 6:40 AM
Priyanka
what is the solution n, p = [int(x) for x in input().split()]
-
average
data
of
rows
science
-1 Voto
4 Respostas
11th Nov 2021, 8:38 AM
Zaid Zren
Data Science - Average of Rows
[int(x)
=
for
in
input().split()]
n
p
x
-1 Voto
1 Resposta
11th Nov 2021, 8:35 AM
Zaid Zren
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