I'm having trouble creating the R script for the model and plot.

Graph the training and testing error against the number of trees using a classification random forest model for the presence of heart disease (target) using variables age (age), sex (sex), chest pain type (cp), resting blood pressure (trestbps), cholesterol measurement (chol), resting electrocardiographic measurement (restecg), exercise-induced angina (exang), slope of peak exercise (slope), and number of major vessels (ca). Use a maximum of 200 trees. Use set.seed(511038).

So far I have this

#forest regression model set.seed(511038)

model1

model1

Expected plot

.0 training set testing set 0.8 Classification Error 0.2 0.0 0 50 100 150 200 Number of Trees