Accuracy is a common metric to use for measuring the error of classification predictions. There are several ways to calculate the accuracy percentage, in this post are calculators for the two most common ways of doing so.
The two calculators are:
The formula for calculating accuracy is:
Accuracy calculator using predicted and actual values
This calculator will calculate the accuracy using lists of predictions and their corresponding actual values. The values in these lists should be integers separated by commas.
Accuracy calculator using confusion matrix values
This calculator will calculate the accuracy using the sum of True Positive (TP), True Negative (TN), False Positive (FP) and False Negative (FN) values from the predictions.