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Some more examples of True Negative are as follows:
                 • Spam Detection - The model predicts an email is “Not Spam”.

                True Negative is when an email is indeed not spam.
                 • Loan Default Prediction - The model predicts a customer will not default, in payment of loan instalment on time.
                True Negative is the customer paid and did not default.

              False Positive

              A False Positive occurs when a model incorrectly predicts a positive outcome for a case that is actually negative.
              When a model’s prediction does not match with the actual outcome. In the given example the shaded region
              depicts the False Positive.


                                                                        Predicted
                                                Confusion Matrix
                                                                      Yes       No


                                                            Yes        3         2
                                                Actual
                                                            No         2         3


              Some more examples of False Positive are as follows:
                 • Hiring Systems (AI-based Recruitment) - An AI system screens suitable job applicants.
                False Positive is a less-qualified candidate is identified as a good match.
                 • Autonomous Vehicles (Object Detection) - A self-driving car detects obstacles on the road.

                False Positive is the car incorrectly identifies a harmless shadow as an obstacle.
              False Negative


              A False Negative occurs when a model incorrectly predicts a negative outcome when the true outcome is actually
              positive. When a model’s prediction does not match with the actual outcome. In the given example the shaded
              region depicts the False Negative.

                                                                        Predicted
                                                Confusion Matrix
                                                                      Yes       No

                                                            Yes        3         2
                                                Actual
                                                            No         2         3

              Some more examples of False Negative are as follows:
                 • Security Systems - A facial recognition system does not identify family members as intruders.

                False Negative is an intruder is recognised as a family member.
                 • Fire Alarm Systems - On any normal day, a fire detection system will not trigger fire alarm.
                False Negative: The system detects a fire to detect a fire in case of no fire.





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