Logistic Regression, Machine Learning, Predictive Analytics, Data Science, Classification.
Precision, Recall, F1 Score metrics as well. Precision is a measure of the accuracy provided that a class label has been predicted. It is defined by: precision = TP / (TP + FP)​ Recall is the true positive rate. It is defined as: Recall = TP / (TP + FN)​​ F1 score: Now we are in the position to