Figure 7

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The performance of the proposed TFT classifier compared to state-of-the-art tools, such as a FNN (a three-layer network with 30, 10, and 1 nodes in the 1st, 2nd, and 3rd layers, respectively) and a k-NN classifier (for k = 25). In our experiment, LSTID forecasts are performed for a time period up to two hours ahead for the Digisonde locations in Juliusruh (Germany, JR055), Dourbes (Belgium, DB049), Ebro (Spain, EB040), and Sopron (Hungary, SO148). The performance is measured in terms of the F1-score for the cases where theta takes the values 50% and 70%.

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