The confusion matrix shows the accuracy of traditional machine learning algorithms.

The correctly classified data is reflected along the diagonal regions. The misclassified is reflected in the off-diagonal regions. Top-left plot logistic regression confusion matrix, top-right plot k-nearest-neighbors confusion matrix, bottom-left plot support vector machines confusion matrix, and bottom-right plot random forest confusion matrix.