Confusion matrix
Abstract
Compare the actual values in your data against predicted values in a confusion matrix to understand how your model is performing.
Takes a set of classification predictions and produces a 2x2 confusion matrix. A confusion matrix compares the actual values in your data against the predicted values. In a 2x2 matrix, you'll see:
true positives, where the actual value and predicted value are both true.
true negatives, where the actual value and predicted value are both false.
false positives, where the actual value was false but the prediction was true.
false negatives, where the actual value was true but the prediction was false.
When to use this tool
A confusion matrix can help you understand how your model is performing.