Concept information
Terme préférentiel
naive Bayes classifier
Définition
- Simple probabilistic classifier based on applying Bayes' theorem with strong (naïve) independence assumptions between the features. (Wikipedia).
Concept générique
Exemple
- For the filtering process they train an ensemble of Support Vector Machines (SVMs) and naive Bayes classifiers on a set of 250 000 manually annotated articles (Croicu and Weidmann 2015). (Olsen, Simon, Velldal & \\Ovrelid, 2024)
- Research also revealed that Naive Bayes classifier give its best result 95.47 percent with the combination of frequency based vectorizer and bigram model while random forest acquires highest F1-score 93.33 percent by using tf-idf based feature extraction and unigram model. (Mammadli, Huseynov, Alkaramov, Jafarli, Suleymanov & Rustamov, 2019)
Traductions
-
français
URI
http://data.loterre.fr/ark:/67375/8LP-MP2GHNG5-6
{{label}}
{{#each values }} {{! loop through ConceptPropertyValue objects }}
{{#if prefLabel }}
{{/if}}
{{/each}}
{{#if notation }}{{ notation }} {{/if}}{{ prefLabel }}
{{#ifDifferentLabelLang lang }} ({{ lang }}){{/ifDifferentLabelLang}}
{{#if vocabName }}
{{ vocabName }}
{{/if}}