Group project completed as part of UBC Master of Data Science Program. The project involved the creation and analysis of a machine learning model which predicts the quality rating a wine will receive from a critic based on a variety of physiochemical factors.
Careful with using the word "test": you mention test scores in the cross-validation section (which doesn't involve the test data) and towards the end where you actually predict on the test set. For clarity I would suggest referring to the cross-validation "test" accuracy as the "validation" accuracy (for example, the "Average validation accuracy").
Careful with using the word "test": you mention test scores in the cross-validation section (which doesn't involve the test data) and towards the end where you actually predict on the test set. For clarity I would suggest referring to the cross-validation "test" accuracy as the "validation" accuracy (for example, the "Average validation accuracy").