What precision and recall are?

What precision and recall are?   After the predictive model has been finished, the most important question is: How good is it? Does it predict well? Evaluating the model is one of the most important tasks in the data science project, ¬†it indicates¬†how good predictions are. Very often for classification problems we look at metrics called precision and recall, to define them in detail let’s quickly introduce confusion matrix first. Confusion Matrix for binary classification is made of four simple ratios: True Negative(TN): case was true negative and predicted negative True Positive(TP): case was true positive and predicted positive False […]

Continue Reading