Evaluation of Machine Learning and Ensemble Learning Models for Classification Using Delivery Data
Purpose: This study aims to evaluate the performance of various machine learning and ensemble learning models in classifying delivery times using Amazon delivery data. Fast deliveries' role in providing a competitive advantage and boosting customer loyalty highlights the importance of this stud...
Saved in:
Main Author: | İrem Karakaya |
---|---|
Format: | Article |
Language: | English |
Published: |
Sanayi ve Teknoloji Bakanlığı
2025-02-01
|
Series: | Verimlilik Dergisi |
Subjects: | |
Online Access: | https://dergipark.org.tr/tr/download/article-file/4114868 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Model for Vehicle Routing Problem under Returns and Emission Consideration in B2C E-Commerce Logistics
by: Sedat Belbağ
Published: (2025-02-01) -
E-Lojistik Uygulamalarında E-Hizmet Kalitesinin, Alışveriş Memnuniyeti, Ödeme Seçenekleri ve Yeniden Satın Alma Niyeti Üzerindeki Etkileri
by: Mert Anıl Sarıcan, et al.
Published: (2022-07-01) -
Models, systems, networks in economics, engineering, nature and society
by: S.V. Zinchenko
Published: (2024-11-01) -
Son Kilometre (Adım) Teslimatta Blokzincir Teknolojisinin Kullanımı
by: Makber Tekin, et al.
Published: (2023-01-01) -
ULUSLARARASI TİCARETTE TAŞIMA TÜRLERİNİN TÜRKİYE'NİN LOJİSTİK PERFORMANS ENDEKSİNE ETKİSİ VE İŞ YAPMA KOLAYLIĞI ENDEKSİ İLİŞKİSİ
by: Ömer Faruk Acar, et al.
Published: (2020-11-01)