3 Core Artificial Intelligence Formulas - Precision and Recall

The following are three artificial intelligence formulas regarding precision and recall:  

Precision

Precision is the percentage of true positives regarding the returns of the artificial intelligence (AI).

Precision = True Positive / All Predictive Positives * 100

Recall

Recall is the fraction of positive cases which are correctly identified via artificial intelligence (AI).

Recall = True Positive / True Positive + False Negative

F1 Score

F1 score is the measure of balance between precision and recall of the artificial intelligence (AI).

F1 score = 2 * Precision * Recall / Precision + Recall

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