vääräpositiivisia
Vääräpositiivisia, also known as false positives, are a type of error that occurs in various fields, including statistics, machine learning, and diagnostic testing. A false positive is an outcome where a test result or prediction indicates the presence of a condition or characteristic when it is actually not present. This type of error is significant because it can lead to unnecessary actions, treatments, or interventions, which may have negative consequences.
In statistics, false positives are a common concern in hypothesis testing, where a null hypothesis is incorrectly
The probability of a false positive is influenced by several factors, including the sensitivity and specificity