A Hybrid Gradient Boosting and Neural Network Model for Predicting Urban Happiness: Integrating Ensemble Learning with Deep Representation for Enhanced Accuracy

A Hybrid Gradient Boosting and Neural Network Model for Predicting Urban Happiness: Integrating Ensemble Learning with Deep Representation for Enhanced Accuracy

Urban happiness prediction presents a complex challenge, due to the nonlinear and multifaceted relationships among socio-economic, environmental, and infrastructural factors. This study introduces an advanced hybrid model combining a gradient boosting machine (GBM) and neural network (NN) to address...

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Bibliographic Details
Main Authors: Gregorius Airlangga, Alan Liu
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Machine Learning and Knowledge Extraction
Subjects:
urban happiness prediction
Hybrid Machine Learning Models
gradient boosting and neural networks
ensemble learning
urban analytics
Online Access:https://www.mdpi.com/2504-4990/7/1/4
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