The Bayes optimal classifier is a classification technique. This is known as nearest centroid classifier or Rocchio algorithm. Unlike the Bayes optimal classifier, Bayesian model averaging (BMA) can be practically implemented. Gender systems rarely overlap with numerical classifier systems. Spam classification is treated in more detail in the article on the naive Bayes classifier. Classifying people as others also classifies the classifier. The softmax function is often used in the final layer of a neural network-based classifier. Let formula 15 denote the weighted nearest classifier with weights formula 16. AdaBoost refers to a particular method of training a boosted classifier. There are four possible outcomes from a binary classifier. The automated reasoning component in these systems is an engine known as the classifier. The final method tries to correct the results of a classifier to achieve fairness. Every Grothendieck topos has a special sheaf called a subobject classifier. It is a more general version of the linear classifier. The meaning denoted by a noun may be altered significantly by changing the accompanying classifier.