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What is Predicting Air Quality Index with ML about?
This document discusses using machine learning algorithms to predict air quality index (AQI) levels using data from Skopje, Macedonia. It compares the performance of 4 algorithms: k-nearest neighbors, support vector machines, decision trees, and neural networks. The algorithms are trained on a database of 365 daily samples from 2017 containing measurements of 6 air pollutants. The neural network is tested in an unsupervised manner to classify samples as low, medium, or high AQI, while the other 3 algorithms
- Author
- International Journal of Application or Innovation in Engineering \u0026 Management
- Language
- EN