Accuracy improvement in air‐quality forecasting using regressor combination with missing data imputation
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DOI: 10.1111/coin.12399
Abstract: This article proposes a hybrid model based on regressor combination to improve the accuracy of air‐quality forecasting. The expectation‐maximization algorithm was used to impute the missing values of the dataset. The optimal hyperparameter values for… read more here.
Keywords: quality; quality forecasting; air quality; regressor combination ... See more keywords