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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