Evaluation of Machine Learning Models for Air Quality Index Prediction
Abstract & Details
Research Area
Electronics and Communication Engineering
Keywords
Linear Regression
SGD Regression
LASSO Regression
Random Forest Regression
Ada Boost Regression
Gradient Boost Regression
ANN Regression
LSTM Regression
Root-mean- square error (RMSE)
correlation coefficient (r)
and coefficient of determination (R^2).
Abstract
Air pollution is a hotspot of wide concern in Indian cities. With the worsening of air pollution, urban agglomerations face an increasingly complex environment for air quality monitoring, hindering sustainable and high-quality development in India. More effective methods for predicting air quality are urgently needed. The imperative lies in maintaining pristine air quality and comprehending diverse air pollutants to effectively manage and model air pollution. Given the capricious and variably spatiotemporal nature of pollution, predicting air quality emerges as a notably intricate endeavour.
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Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | I.S.Priya | Sri Venkatesa Perumal College of Engineering and Technology |
| 2 | J.Uma Mahesh | Sri Venkatesa Perumal College of Engineering and Technology |
| 3 | K.Lakshmi Prasanna | Sri Venkatesa Perumal College of Engineering and Technology |
| 4 | K.Gnanasri | Sri Venkatesa Perumal College of Engineering and Technology |
| 5 | M.Madhan | Sri Venkatesa Perumal College of Engineering and Technology |
| 6 | K.Sai Charan | Sri Venkatesa Perumal College of Engineering and Technology |
How to Cite
Use the following formats to cite this article in your research.
APA Style
I.S.Priya, Mahesh, J.Uma, Prasanna, K.Lakshmi, K.Gnanasri, M.Madhan, & Charan, K.Sai (2025). Evaluation of Machine Learning Models for Air Quality Index Prediction. International Journal of Advance Research and Innovative Ideas In Education, 11(2), 3205-3211.
MLA Style
I.S.Priya, et al. "Evaluation of Machine Learning Models for Air Quality Index Prediction." International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 2, 2025, pp. 3205-3211.
IEEE Style
I.S.Priya, J.Uma Mahesh, K.Lakshmi Prasanna, K.Gnanasri, M.Madhan, and K.Sai Charan, "Evaluation of Machine Learning Models for Air Quality Index Prediction," International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 2, pp. 3205-3211, 2025.
Vancouver Style
I.S.Priya, Mahesh J.Uma, Prasanna K.Lakshmi, K.Gnanasri, M.Madhan, Charan K.Sai. Evaluation of Machine Learning Models for Air Quality Index Prediction. International Journal of Advance Research and Innovative Ideas In Education. 2025;11(2):3205-3211.
Harvard Style
I.S.Priya, Mahesh, J.Uma, Prasanna, K.Lakshmi, K.Gnanasri, M.Madhan, & Charan, K.Sai (2025) 'Evaluation of Machine Learning Models for Air Quality Index Prediction', International Journal of Advance Research and Innovative Ideas In Education, 11(2), pp. 3205-3211.
Chicago Style
I.S.Priya, et al. "Evaluation of Machine Learning Models for Air Quality Index Prediction." International Journal of Advance Research and Innovative Ideas In Education 11, no. 2 (2025): 3205-3211.
Turabian Style
I.S.Priya, et al. "Evaluation of Machine Learning Models for Air Quality Index Prediction." International Journal of Advance Research and Innovative Ideas In Education 11, no. 2 (2025): 3205-3211.
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