Search Results - subject:"Regression tree"

Nowcasting in a pandemic using non-parametric mixed frequency VARs

Huber, Florian; Koop, Gary; Onorante, Luca; Pfarrhofer, … - 2021

additive regression trees. We argue that regression tree models are ideally suited for macroeconomic nowcasting in the face of …

Persistent link: https://www.econbiz.de/10012806441

Prediction of Innovation Values of Countries Using Data Mining Decision Trees and a Comparative Application with Linear Regression Model

Dogruel, Merve; Umit, Seniye - In: Istanbul Business Research (IBR) 50 (2021) 2, pp. 465-493

innovation levels of countries. This study includes regression tree analysis and linear regression analysis and comparison using … learning. The regression tree application aimed to make the GII estimation based on the NRI indicators and determine the best … discriminating GII indicators. Therefore, the Classification and Regression Tree (CART) algorithm is used for analysis. The analysis …

Persistent link: https://www.econbiz.de/10012873472

When to Fell a Tree

Choi, Hak - 2021

Persistent link: https://www.econbiz.de/10013240416

Gaussian Fuzzy HSM Algorithm for Classification of BIRADS Dataset using Decision Tree

Bethapudi, Dr Prakash; Reddy, Edara Sreenivasa; Kamadi, … - 2021

Classification is one of the methods used in identifying the accuracy of the dataset of multiple classes. This paper has proposed a method named FHSM ( Fuzzy Heterogeneous Node Splitting Measure ) for building decision tree which used Gaussian membership function in assigning fuzzy membership...

Persistent link: https://www.econbiz.de/10013243020

Detecting Sugarcane Crop Yield using Decision Tree Classifier in the District of Muzaffarnagar

Kumar, Ankit; Kapil, Anil Kumar - 2021

The district of Muzaffarnagar is the highest sugarcane producing district in Uttar Pradesh and therefore is an important industrial district as well. The district is part of Western UP and it shares the problems of the sugar industry elsewhere in the state: unpredictable demands and crop...

Persistent link: https://www.econbiz.de/10013231312

The Roots of Inequality : Estimating Inequality of Opportunity from Regression Trees and Forests

Brunori, Paolo; Hufe, Paul; Mahler, Daniel Gerszon - 2021

In this paper we propose the use of machine learning methods to estimate inequality of opportunity. We illustrate how our proposed methods—conditional inference regression trees and forests—represent a substantial improvement over existing estimation approaches. First, they reduce the risk...

Persistent link: https://www.econbiz.de/10013213350

A novel model structured on predictive churn methods in a banking organization

Silveira, Leonardo José; Pinheiro, Plácido Rogério; … - In: Journal of risk and financial management : JRFM 14 (2021) 10, pp. 1-24

A constant in the business world is the frequent movement of customers joining or abandoning companies’ services and products. The customer is one of the company’s most important assets. Reducing the customer abandonment rate has become a matter of survival and, at the same time, the most...

Persistent link: https://www.econbiz.de/10012745384

Nowcasting in a pandemic using non-parametric mixed frequency VARs

Huber, Florian; Koop, Gary; Onorante, Luca; Pfarrhofer, … - 2021

additive regression trees. We argue that regression tree models are ideally suited for macroeconomic nowcasting in the face of …

Persistent link: https://www.econbiz.de/10012405305

Estimation of processing time using machine learning and real factory data for optimization of parallel machine scheduling problem

Yamashiro, Hirochika; Nonaka, Hirofumi - In: Operations research perspectives 8 (2021), pp. 1-9

Traditionally, mathematical optimization methods have been applied in manufacturing industries where production scheduling is one of the most important problems and is being actively researched. Extant studies assume that processing times are known or follow a simple distribution. However, the...

Persistent link: https://www.econbiz.de/10012596666

Optimization of logistics processes of the supply chain using RFID technology

Rymarczyk, Paweł; Małek, Arkadiusz; Nowak, Ryszard; … - In: European research studies 24 (2021) 2, pp. 637-647

Persistent link: https://www.econbiz.de/10012663975