Precision is the fraction of predicted positives that are truly positive. High precision means a low false positive rate. It’s often used alongside recall to gauge a classifier’s performance in unbalanced problems.
Still doing it by hand? Describe it once and let it run.Still doing it by hand?Describe it once and let it run.
