Artificial Intelligence, Machine Learning, Data Science, Bioinformatics, Genomics.
false positives and zero false negatives. Generally, with the Greek letter alpha, we indicate the probability to have a false positive (type I error) and it is normally set at 0.05, meaning that is generally acceptable to have a 5 % false positive. With beta is generally indicated the probability