Given two lists of 1s and 0s (1 represents the true label, and 0 represents the false false) of the same length, output a 2darra

Question

ANS:
import numpy as np

y_true = [int(x) for x in input().split()]
y_pred = [int(x) for x in input().split()]
y_true = np.array(list(map(lambda x: 0 if x == 1 else 1, y_true)))
y_pred = np.array(list(map(lambda x: 0 if x == 1 else 1, y_pred)))
from sklearn.metrics import confusion_matrix
print(confusion_matrix(y_pred, y_true).astype(float))

Answer 1

Shubham Mandgaonkar ,

i am not sure what your issue or question is. can you please give us a bit more information.

thanks!