Hi everyone! Just finished regression challenge project and wanted to share with you. It took several attempts to tune the model in order to get a satisfying result. I think I managed to minimize the mean absolute error without overfitting and get a good coefficient of determination.
how do i make my own predictions with my own data? thanks you:)
General Procedure: You have to train a model on your dataset and then evaluate its skill using a subset of your dataset that your model has not seen during training. If your model has reached a satisfying performance, meaning it can predict quite well your data, afterwards, you can use the .predict() method on your model to predict new data instances, that are in the same way preprocessed/scaled as the data you used to train/test your model.
thanks you for your inshightful answer:)