I am getting the following result for the confusion matrix and accuracy for a logistic
array([[26, 0, 0], [ 1, 24, 0], [ 0, 0, 24]]) Accuracy: 1.0
Is this a correct result? As a 1 in the second row indicates that the actual
value was different from the predicted one. But that means accuracy can't be 1.0.
But still python returned the accuracy as 1.0
The code used to calculate this is :
from sklearn.metrics import accuracy_score accuracy_score(y_true=y_train, y_pred=classifier.predict(X_train))