Understanding True Positive, True Negative, False Positive and False Negative in a Confusion Matrix True Positive (TP)  The predicted value matches the actual value The actual value was positive and the model predicted a positive value True Negative (TN)  The predicted value matches the actual value The actual value was negative and the model predicted a negative value False Positive (FP) – Type 1 error The predicted value was falsely predicted The actual value was negative but the model predicted a positive value Also known as the  Type 1 error False Negative (FN) – Type 2 error The predicted value was falsely predicted The actual value was positive but the model predicted a negative value Also known as the  Type 2 error GITHUB Link