False positive (FP): Revision history

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17 March 2023

20 February 2023

  • curprev 03:2103:21, 20 February 2023‎ Alpha5 talk contribs‎ 3,845 bytes −16‎ No edit summary
  • curprev 00:4800:48, 20 February 2023‎ Alpha5 talk contribs‎ 3,861 bytes −1‎ No edit summary
  • curprev 00:4800:48, 20 February 2023‎ Alpha5 talk contribs‎ 3,862 bytes +3,862‎ Created page with "===Introduction== Machine learning models utilize classification to detect different patterns in data and make predictions based on them. False positive (FP) refers to a situation when the model predicts an event has taken place but it wasn't true; this can happen when it recognizes a pattern similar to what was desired but which does not match exactly. FPs have serious repercussions, especially within healthcare where misdiagnosis could lead to incorrect treatments and..."
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