Machine Learning - Notes on Confusion Matrix

1. The actual number of samples of class 1 is 45, the number of samples predicted as class 1 by the classifier is 43, the number of samples predicted as class 2 is 2, and the number of samples predicted as class 3 is 0.
2. The total number of samples predicted by the classifier as class 1 is 50, class 2 is 50, and class 3 is 50.