Step 1.

Collect Data

Step 2.

Feature Engineering

Step 3.

Insert Data into Models

K-nearest neighbors

Linear discriminant analysis

Linear regression

Step 4.

Insert Predicted Values into the Algorithm to Improve Recall

Step 5.

Comparison of Precision, Recall, and F1 Score

Step 6.

Output (Accuracy)