PROBABILISTIC CLASSIFIER
(noun)Definitions
There is 1 meaning of the phrase
Probabilistic Classifier.
Probabilistic Classifier - as a noun
A classifier that is able to predict, given a sample input, a probability distribution over a set of classes, rather than only outputting the most likely class that the sample should belong to.
Example: "Probabilistic classifiers provide classification with a degree of certainty, which can be useful in its own right, or when combining classifiers into ensembles."
Hypernyms (Closely Related)
classifier15Hyponyms (Broadly Related)
Example Sentences
"A probabilistic classifier is a machine learning algorithm that calculates the probability of input data belonging to different classes."
"In spam filtering, a probabilistic classifier is used to determine the likelihood of an email being spam or not."
"The Naive Bayes classifier is a commonly used probabilistic classifier in natural language processing tasks."
"A probabilistic classifier can be trained using labeled data to make predictions on new, unlabeled data."
"The performance of a probabilistic classifier can be evaluated using metrics such as accuracy and F1 score."
