Mindmap
classification
Inhalt der Mindmap
classification
linear regression
loss function
Bayesian classification rule
Discriminant analysis
Fisher linear discriminant analysis (LDA)
logistic regression
probit regression
terms
- prediction rule-classifier
- The Bayes Rule argmax
- beta hat transpose times x0
- X data matrix
- N*(p+1)
- Y indicator response matrix
- N*K
- B hat
- (p+1)*k
- decision boundary
- k=2
- x transpose times beta hat
- k=2
Informationen
- Beschreibung
- Mindmap am classification, erstellt von Brandy M am 08/09/2016.
- Erstellt von
- Brandy M
- Aufrufe
- 0
- Bewertung