trainingtesting
Trainingtesting refers to a fundamental process in machine learning and statistical modeling. It involves splitting a dataset into two subsets: a training set and a testing set. The training set is used to build or "train" a model. During this phase, the model learns patterns and relationships within the data. The testing set, on the other hand, is reserved for evaluating the performance of the trained model. This set should be data that the model has not seen during training.
The purpose of this division is to assess how well the model generalizes to new, unseen data.
The ratio of data allocated to training versus testing can vary, but a common split is 80%