@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix dc: <http://purl.org/dc/terms/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<http://data.loterre.fr/ark:/67375/8LP> a owl:Ontology, skos:ConceptScheme .
<http://data.loterre.fr/ark:/67375/8LP-MS3HSJ7F-T>
  skos:prefLabel "analyse discriminante quadratique"@fr, "quadratic discriminant analysis"@en ;
  skos:hiddenLabel "Analyse discriminante quadratique"@fr, "Quadratic discriminant analysis"@en ;
  dc:modified "2024-06-10T06:59:02"^^xsd:dateTime ;
  a skos:Concept ;
  skos:altLabel "ADQ"@fr, "QDA"@en ;
  skos:inScheme <http://data.loterre.fr/ark:/67375/8LP> ;
  skos:example "For the featurebased models such as linguist-based features and our proposed frameworks we employed various classifiers including logistic regression (LR) decision tree (DT) linear and Nu-support vector classification (SVC) linear and quadratic discriminant analysis (LDA and QDA) Gaussian naive Bayes (GNB) extreme gradient boosting (XG-Boost) adaptive boosting (AdaBoost) and extra trees classifier. (Taghibeyglou & Rudzicz, 2023)"@en, "They achieve accuracy of 55% using quadratic discriminant analysis on a representation consisting of features based on POS tags words and punctuation reduced using PCA. (Passonneau, Ide, Su & Stuart, 2014)"@en ;
  skos:broader <http://data.loterre.fr/ark:/67375/8LP-NC68DDGT-D> .

<http://data.loterre.fr/ark:/67375/8LP-NC68DDGT-D>
  skos:prefLabel "apprentissage supervisé"@fr, "supervised learning"@en ;
  a skos:Concept ;
  skos:narrower <http://data.loterre.fr/ark:/67375/8LP-MS3HSJ7F-T> .

