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. 2023 Jan 12;5:963781. doi: 10.3389/frai.2022.963781

Table 3.

Same as Table 2 but for the results of the fully connected DNN model predictions.

Fully connected deep neural network model statistics
Prediction size (forecast) Train RMSE [°C] Test RMSE [°C] Train r2 Test r2 Train F1 Test F1
6 h 1.55 1.53 0.99 0.98 0.96 0.96
12 h 1.72 1.84 0.98 0.98 0.96 0.95
24 h 2.06 2.23 0.97 0.96 0.95 0.94
30 h 2.34 2.69 0.96 0.95 0.94 0.92
36 h 2.53 2.96 0.96 0.95 0.94 0.91
48 h 2.7 2.94 0.95 0.94 0.94 0.93

The DNN model uses a sequential model with elu activation.