Confusion Matrix Maker (simple to use)
The confusion matrix is a set of four values which show the performance of classification machine learning models per class. These four values are True Positive, False Positive, True Negative, and False Negative.
The confusion matrix is a set of four values which show the performance of classification machine learning models per class. These four values are True Positive, False Positive, True Negative, and False Negative.
This calculator creates the four confusion matrix values from a list of predictions and their corresponding actual values.
Related articles
Metric calculators
Confusion matrix calculator
Precision recall calculator
F1 score calculator
Accuracy calculator
Coefficient of determination calculator
References
