What is the difference between training and testing data ?

Dear student,
In a dataset, a training set is implemented to build up a model, while a test (or validation) set is to validate the model built. ... So, we use the training data to fit the model and testing data to test it. The models generated are to predict the results unknown which is named as the test set.