Predicting Indian GDP With Machine Learning
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| Format: | Recurso digital |
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Zenodo
2025
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| _version_ | 1866902319438757888 |
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| author | Sunkara. Saigopi, Mrs.P.Haritha |
| author_facet | Sunkara. Saigopi, Mrs.P.Haritha |
| contents | <p>Economic forecasters turn to machine learning for its champion ability to predict crucial leading indicators such as GDP. It analyses the forecasting ability of advanced machine learning for the Indian GDP, with information drawn from all sorts of sources, including economic and inflation statistics put together for this analysis. In place of traditional models such as linear regression, we compare the outcomes of linear with those of polynomial regression models. Our results suggest that using polynomial regression is much more effective than linear regression at showing how GDP is related to various factors.<br>What we find illustrates that advanced models should be used for economy predictions, helping both policy-makers and business leaders make smarter decisions. The analysis reveals that to make correct economic forecasts, accurate data and advanced machine learning algorithms, mainly RandomForestRegressor, GradientBoostingRegressor and LogisticRegression, are needed. </p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15658126 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Predicting Indian GDP With Machine Learning Sunkara. Saigopi, Mrs.P.Haritha <p>Economic forecasters turn to machine learning for its champion ability to predict crucial leading indicators such as GDP. It analyses the forecasting ability of advanced machine learning for the Indian GDP, with information drawn from all sorts of sources, including economic and inflation statistics put together for this analysis. In place of traditional models such as linear regression, we compare the outcomes of linear with those of polynomial regression models. Our results suggest that using polynomial regression is much more effective than linear regression at showing how GDP is related to various factors.<br>What we find illustrates that advanced models should be used for economy predictions, helping both policy-makers and business leaders make smarter decisions. The analysis reveals that to make correct economic forecasts, accurate data and advanced machine learning algorithms, mainly RandomForestRegressor, GradientBoostingRegressor and LogisticRegression, are needed. </p> |
| title | Predicting Indian GDP With Machine Learning |
| url | https://doi.org/10.5281/zenodo.15658126 |