Machine Learning, Data Science, Python, Statistics, Evaluation Metric.
calculated as the ratio of true positives (TP) to the sum of true positives and false positives (FP). Precision is particularly relevant in situations where the cost of false positives is high. Example: Consider an online store reviewing system. Precision would measure the proportion of correctly