Table 15 Performance comparison.

From: Design of mTCN framework for disaster prediction a fusion of massive machine type communications and temporal convolutional networks

Model type

MAE

MSE

RMSE

R-squared (R2)

Random forest

0.45

0.30

0.55

0.85

Gradient boosting

0.40

0.28

0.53

0.87

Linear regression

0.60

0.50

0.71

0.75

LGBM regressor

0.38

0.25

0.50

0.88

Proposed mTCN-FChain

0.35

0.22

0.47

0.90

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