Confusion Matrix
On a Confusion Matrix, the top left is the number of true negatives, the top right is the number of false positives, the bottom left is the number of false negative, and the bottom right is the number of true positives. From the Neural Networks, there are 81 false positives, 54 false negatives, 1135 true negatives, and 8 true positives. Neural Networks has an 89% accuracy.