Reading a confusion matrix

What is a confusion matrix? A confusion matrix is a method of visualizing classification results. You had built a classification model that predicts some values on the test set and you also have some actual values for your target variable to compare with. Confusion matrix will show you if your predictions match the reality and how do they math in more detail. The confusion matrix below shows predicted versus actual values and gives names to classification pairs: true positives, true negatives, false negatives, and false positives.