False positive (FP): Difference between revisions

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Machine learning is the process in which a computer program is taught to recognize different objects, like pictures of cats or dogs, or detect if someone is sick. Unfortunately, sometimes this computer can make an error and indicate someone is indeed sick when they aren't; this is known as a false positive - similar to when your friend thinks they see you walking down the street but it turns out it's actually someone else looking like you! False positives can have serious repercussions when dealing with important matters like medicine or money since these errors cause issues for those affected.
Machine learning is the process in which a computer program is taught to recognize different objects, like pictures of cats or dogs, or detect if someone is sick. Unfortunately, sometimes this computer can make an error and indicate someone is indeed sick when they aren't; this is known as a false positive - similar to when your friend thinks they see you walking down the street but it turns out it's actually someone else looking like you! False positives can have serious repercussions when dealing with important matters like medicine or money since these errors cause issues for those affected.


[[Category:Terms]] [[Category:Machine learning terms]]
[[Category:Terms]] [[Category:Machine learning terms]] [[Category:not updated]]