Optimizing decision trees analysis von buschfeld sarah (6 Ergebnisse)
Optimizing Decision Trees For The Analysis Of World Englishes And Sociolinguistic Data
Buschfeld, Sarah (Tu Dortmund University) Weihs, Claus (Tu Dortmund University)
- Softcover
Anbieter: Revaluation Books, Exeter, , Vereinigtes KönigreichRevaluation Books
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 33,76
EUR 11,52 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 2 verfügbar
Paperback. Zustand: Brand New. 108 pages. 6.00x0.22x9.00 inches. In Stock.
- Softcover
Anbieter: Kennys Bookstore, Olney, MD, USAKennys Bookstore
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 37,91
EUR 9,16 VersandVersand innerhalb von USAAnzahl: Mehr als 20 verfügbar
Zustand: New. 2026. paperback. . . . . . Books ship from the US and Ireland.
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 35,42
EUR 60,85 VersandVersand von Deutschland nach USAAnzahl: 2 verfügbar
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This Element introduces PrInDT (Prediction and Interpretation in Decision Trees), a statistical approach for modeling relationships between extra- and intralinguistic variables in World Englishes. It is based on decision trees and controls their size… in a way that they are easy and straightforward to interpret. Furthermore, PrInDT optimizes their accuracy so that they best fit the data and can be reliably used for prediction. Moreover, it can handle unbalanced classes that occur, for example, when comparing non-standard with standard linguistic realizations. The various PrInDT functions can deal with classification and regression tasks and can analyze multiple endogenous variables jointly, even for models combining classification and regression. The authors introduce these features in some detail and apply them to World Englishes and sociolinguistic datasets. As examples, they draw on L1 child data from England and Singapore as well as linguistic landscapes data from the Eastern Caribbean island of St. Martin.
- Hardcover
Anbieter: Kennys Bookstore, Olney, MD, USAKennys Bookstore
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 103,76
EUR 9,16 VersandVersand innerhalb von USAAnzahl: Mehr als 20 verfügbar
Zustand: New.
Optimizing Decision Trees For The Analysis Of World Englishes And Sociolinguistic Data
Buschfeld, Sarah (Tu Dortmund University) Weihs, Claus (Tu Dortmund University)
- Hardcover
Anbieter: Revaluation Books, Exeter, , Vereinigtes KönigreichRevaluation Books
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 113,78
EUR 11,52 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 2 verfügbar
Hardcover. Zustand: Brand New. 108 pages. 6.00x0.31x9.00 inches. In Stock.
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 98,57
EUR 61,60 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This Element introduces PrInDT (Prediction and Interpretation in Decision Trees), a statistical approach for modeling relationships between extra- and intralinguistic variables in World Englishes. It is based on decision trees and controls their size in a w…ay that they are easy and straightforward to interpret. Furthermore, PrInDT optimizes their accuracy so that they best fit the data and can be reliably used for prediction. Moreover, it can handle unbalanced classes that occur, for example, when comparing non-standard with standard linguistic realizations. The various PrInDT functions can deal with classification and regression tasks and can analyze multiple endogenous variables jointly, even for models combining classification and regression. The authors introduce these features in some detail and apply them to World Englishes and sociolinguistic datasets. As examples, they draw on L1 child data from England and Singapore as well as linguistic landscapes data from the Eastern Caribbean island of St. Martin.
