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Algorithm
Masso edited this page Mar 7, 2023
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To predict an entity, a formula is used that first takes the items in common using intercession, then divides by the size of items in the pattern. Thus returning a percentage related to similarity.
len(pattern.intersection(input)) / len(pattern)
After having similarity, it is filtered by the acceptable value to be similar and it is placed in a similarity list. After that, this list goes through an orderer that returns the highest similarity.