RNNs performance for SSI prediction (mean loss and mean accuracy), and the same metrics applied to physical models’ (SATIRE and EMPIRE) daily reconstructed Lyman-α values. This performance was obtained for the test period of 2012/12/15 to 2013/4/23.
|MSE||MAPE (%)||R2 (%)||R (%)||MSE||MAPE (%)||R2 (%)||R (%)|
|30.5 nm 1 day||1.7e–10||2.0||62.3||86.1||1.5e–10||1.9||67.4||87.4|
|30.5 nm 2 days||2.2e–10||2.4||51.6||80.8||2.2e–10||2.4||52.0||81.1|
|30.5 nm 3 days||3.6e–10||3.0||22.4||68.8||3.4e–10||2.9||27.9||69.0|
|48.5 nm 1 day||4.2e–13||4.2||42.8||84.8||4.0e–13||4.2||45.7||83.8|
|48.5 nm 2 days||5.9e–13||5.2||20.8||76.3||5.7e–13||5.0||23.8||76.6|
|48.5 nm 3 days||7.1e–13||5.8||4.9||65.1||7.5e–13||5.9||−0.5||65.7|
|Lyman-α 1 days||1.9e–08||1.5||83.2||93.1||2.1e–08||1.6||82.3||92.8|
|Lyman-α 2 days||3.7e–08||2.2||68.4||84.9||4.1e–08||2.3||65.0||84.4|
|Lyman-α 3 days||6.6e–08||2.9||43.4||73.3||6.3e–08||2.9||46.0||72.6|
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