I have developed a
RandomForest classification model and I am pretty satisfied with the results on the test set.
Now, my next step is to deploy the model. Before deployment, I want to remove the test set, so the model learns on the whole dataset. It is then going to be used to classify new unseen data.
How can I do this? I have used
test_train_split to split the data into
test, I have defined the random forest model and I have used it to