Overfitting is the phenomenon of a model not performing well, i.e., not making good predictions, because it captured the noise as well as the signal in the training set. In other words, the model is generalizing too little and instead of just characterizing...

Out-of-time test is the method of training a model on data from the earlier part of the time-interval and testing it against the later, so called out-of-time test set. The purpose is to create a testing scenario where the model and test set simulates...

Other overhead costs or operating costs are associated with the maintenance and administration of a business on a day-to-day basis. Operating cost is a total figure that include direct costs of goods sold (COGS) from operating expenses (which exclude...