Comparative Study of Instance Based Learning and Back Propagation for Classification Problems

Name: Comparative Study of Instance Based Learning and Back Propagation for Classification Problems
Brand: Grin Publishing
SKU: 9783668201590
Price: 358 CZK
Availability: InStock

Autor: Nadia Kanwal, Erkan Bostanci

Jazyk:

Vazba: Brožovaná

Vydavatel: Grin Publishing

Dostupnost: Skladem u dodavatele

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358 Kč

Scientific Study from the year 2008 in the subject Computer Science - Applied, grade: 95, University...

Informace o knize

Autor

Nadia Kanwal, Erkan Bostanci

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2016

Stránek

EAN

9783668201590

ISBN

3668201595

Enbook ID

10938260

Vydavatel

Grin Publishing

Hmotnost

Rozměry

148 x 210 x 2

Kompletní popis

Scientific Study from the year 2008 in the subject Computer Science - Applied, grade: 95, University of Essex (Department of Computer Science), course: Machine Learning, language: English, abstract: The paper presents a comparative study of the performance of Back Propagation and Instance Based Learning Algorithm for classification tasks. The study is carried out by a series of experiments with all possible combinations of parameter values for the algorithms under evaluation. The algorithm's classification accuracy is compared over range of datasets and measurements like Cross Validation, Kappa Statistics, Root Mean Squared Value and True Positive vs False Positive rate have been used to evaluate their performance.§§Along with performance comparison, techniques of handling missing values have also been compared that include Mean/Mode replacement and Multiple Imputation.

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Comparative Study of Instance Based Learning and Back Propagation for Classification Problems

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Kompletní popis

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