Machine Learning – Confusion Matrix

Accuracy = (1 + 1) / (1 + 1 + 1 + 1) = 0.5

• Precision – It measures the ratio of true positives to the total number of positive predictions made by the model.

To calculate precision, we can use the following formula:

Precision = TP / (TP + FP)