What does this research mean for the field?

The Multilayer Perceptron (MLP) model outperforms other machine learning algorithms in predicting Pakistan's GDP for the years 2023 to 2032. Novelty: ClaimNovelty.NOVEL_FINDING. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

The analysis aims to evaluate and compare the performance of various machine learning models for predicting Pakistan's GDP.

March 13, 2026Open Access

Economic Growth Forecasting in Pakistan: A Comparative Machine Learning Analysis

Key Points

The analysis aims to evaluate and compare the performance of various machine learning models for predicting Pakistan's GDP.
Evaluated multiple machine learning models including ARIMA, double exponential smoothing, MLP, and NNAR.
Analyzed historical GDP data from 1960 to 2022.
Compared model performance based on prediction accuracy.
Multilayer Perceptron (MLP) model outperformed other models in GDP prediction.
Findings highlight the potential of machine learning in enhancing prediction accuracy for economic indicators.

Abstract

This article investigates a comparative analysis of machine learning models for Pakistan's Gross Domestic Product (GDP), an important indicator of the nation's economic development. GDP is crucial to assess well-versed decisions. Since machine learning techniques are more sophisticated, much interest has been developed in predicting GDP to handle complex data patterns and enhance prediction accuracy. In this study, we evaluated the performance of a variety of machine learning algorithms like Auto-Regressive Integrated Moving Average (ARIMA), double exponential smoothing, Multilayer Perceptron (MLP), Neural Network Auto-Regressive (NNAR), and hybrid machine learning models on data from 1960 to 2022. The MLP used in Artificial Neural Networks (ANNs) outperforms based on the outcomes. This comparative analysis provides insights into the most suitable model for accurate prediction of Pakistani GDP for the years 2023 to 2032. This article provides a detailed analysis of various machine learning models used to predict Pakistan's GDP accurately. GDP prediction is an essential indicator of a nation's economic development and is crucial in making informed decisions. With the advancements in machine learning techniques, there has been a growing interest in predicting GDP due to their efficiency in handling complex data patterns and improving prediction accuracy

Economic Growth Forecasting in Pakistan: A Comparative Machine Learning Analysis

Key Points

Abstract

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