Algorithm 1: Algorithms for the CHSLB dataset used in this study.

Input: symptoms

Output: predict heart disease present or not present

1. If (the model has not been trained), then

2. Dataset load;

3. Correlation of data;

4. Split x and y;

5. Train (70%), test (30%);

6. Load pre-trained model;

7. Educate the model;

8. Save the model that has been trained.

11. Loads trained model if everything else fails;

12. Validate the model using the test data set;

13. Confusion metrics and plot graphs.