Statistical model validation

Statistical model validation is a way to make sure that a model that was created to predict something (like how much it will rain tomorrow) is accurate. Validation checks to see if the model is good at predicting things. To do this, you compare the predictions the model makes to what actually happened in the real world. If the model makes a lot of incorrect predictions, then you know it is not very accurate and that you should try making a different model.