classifier
A computer model that decides which group something belongs to.
An algorithm or statistical model that assigns data items to one of a set of predefined classes or categories.
Someone or something that sorts things into groups.
A person, organization, device, or system that classifies things by putting them into groups according to a rule or scheme.
A grammar word used with nouns in some languages when you count or point to things.
In grammar, a word or morpheme, used especially with numbers or demonstratives in some languages, that marks the type or counting unit of a noun.
In a sign language, a handshape that can stand for a type of thing and show where it is or how it moves.
In sign linguistics and sign-language teaching, a handshape or sign element that represents a class of things and can show their movement, position, size, shape, or handling.
A machine that separates material into different groups, such as large and small pieces.
A machine or component that separates particles or materials into classes, especially by size, weight, or density.
- Base: classifier
- Plural: classifiers
binary classifier
1two-category classification model
A model that chooses between two groups.
- The team built a binary classifier to identify transactions as fraudulent or legitimate.
- A spam filter is often treated as a binary classifier: spam or not spam.
- The binary classifier performed well on positive cases but missed many negative ones.
- The binary classifier chooses yes or no.
- This binary classifier finds spam emails.
classifier construction
1sign-language depicting structure
A sign-language structure that uses a classifier handshape to show what something is like or how it moves.
- The ASL lesson focused on classifier constructions for vehicles moving through space.
- A classifier construction can show where a cup is placed on a table.
- Students used classifier constructions to describe the shape and movement of animals.
- The classifier construction shows movement.
- We practiced classifier constructions in ASL class.
decision-tree classifier
1tree-based classification model
A model that asks a series of questions to choose a group.
- A decision-tree classifier is easy to explain because each branch shows a rule.
- The decision-tree classifier first checked the user's age and then the purchase amount.
- They compared a decision-tree classifier with a logistic regression model.
- The decision-tree classifier follows simple rules.
- Each branch helps the model choose a class.
k-nearest-neighbor classifier
1neighbor-based classification model
A model that looks at the most similar examples and chooses the most common group.
- A k-nearest-neighbor classifier labels a point by looking at nearby labeled points.
- The k-nearest-neighbor classifier became slow as the training set grew.
- Changing k from 3 to 7 improved the classifier's accuracy.
- The k-nearest-neighbor classifier checks nearby examples.
- The value of k can change.
multiclass classifier
1many-category classification model
A model that chooses one group from three or more groups.
- The app uses a multiclass classifier to identify bird species from photos.
- A multiclass classifier must choose among categories such as politics, sports, business, and entertainment.
- They converted the problem from binary classification to a multiclass classifier with five labels.
- The multiclass classifier chooses one of five animals.
- This model is a multiclass classifier.
naive bayes classifier
1Bayesian probabilistic classifier
A simple probability-based model often used for text classification.
- A Naive Bayes classifier can work surprisingly well for spam detection.
- The course used a Naive Bayes classifier as an introduction to probabilistic models.
- The Naive Bayes classifier estimated the most likely topic for each document.
- The Naive Bayes classifier is useful for text.
- It uses probabilities to choose a class.
random forest classifier
1many-tree classification model
A model that uses many decision trees and combines their answers.
- The random forest classifier gave more stable results than a single decision tree.
- They used a random forest classifier to predict whether a customer would cancel a subscription.
- Feature importance scores from the random forest classifier helped the team understand the model.
- The random forest classifier uses many trees.
- It combines many answers into one class.
support vector machine classifier
1margin-based classification model
A model that tries to draw the best boundary between groups.
- The support vector machine classifier handled the small dataset better than the neural network.
- They trained a support vector machine classifier to separate positive and negative reviews.
- A linear support vector machine classifier can be effective when the classes are nearly separable.
- The support vector machine classifier draws a boundary.
- People often call it an SVM.