The key difference between recall and precision is that precision accounts for false positives, while recall accounts for false negatives. There are mathematical formulas to define recall and ...

Through comparative evaluation, the research team achieved improvements of up to 210% in key metrics such as accuracy, recall, and area under the ... enabling classical machine learning algorithms to ...