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Table 6 Benchmarking and comparing accuracy of the proposed model with previous studies on dengue outbreak prediction model that uses accessible data

From: Identification of significant climatic risk factors and machine learning models in dengue outbreak prediction

References Year Model Accuracy (%)
[63] 2018 Correlation and autoregressive distributed lag model 84.90
[21] 2016 C-SVC kernel and RBF 90.50
[22] 2013 Poisson multivariate regression models 90.00
[16] 2010 Artificial neural networks 82.39
[48] 2008 Automatic prediction system by using entropy and artificial neural network 85.92
Our proposed model   Bayes network model using TRF Accuracy = 92.35