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this si my code conf _ matrix = np . zeros ( ( 1 0 , 1 0 ) , dtype = int ) for

this si my code conf_matrix = np.zeros((10,10), dtype=int)
for i in range(len(test_labels)):
true_label=test_labels[i]
predicted_label = NN_classifier(test_data[i, :])
conf_matrix[true_label,predicted_label]+=1
print(conf_matrix) and this is the answer [[0000000000]
[0000000000]
[0000000000]
[0000000000]
[0000000000]
[0000000000]
[0000001000]
[0000000000]
[0000000000]
[0000000000]] but i need it to give me this asnwer Confusion Matrix:
[[99000010000]
[010000000000]
[01941000310]
[00291240010]
[00009700003]
[10000980001]
[00000199000]
[04001009401]
[20111011921]
[11112103090]] how do i do that

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