Secondly, the categorization focuses on types of difficulties in young children that are not addressed in other classification models.

A test assessing the goodness-of-fit of a classification model is the "percentage correctly predicted".

Informally, the capacity of a classification model is related to how complicated it can be.

For example, consider a straight line as the classification model: the model used by a perceptron.

The VC dimension has utility in statistical learning theory, because it can predict a probabilistic upper bound on the test error of a classification model.

Only to add that the performance of a classifier is but one of the criteria to apply when choosing the best classification model.

Here logistic regression is being used as a binary classification model.

The library includes mathematical, statistical, data mining, simulation and classification models.

The code below illustrates a typical call to build a classification model:

The code below illustrates a typical usage of a classification model: