Table 5 Classification results for DNN based earthquake induced LHI prediction. LHI prediction (2% ER) LHI prediction (10% ER) 0 1 accuracy macro average weighted average Classification accuracy: 0.94% 0 1 accuracy macro average weighted average Classification accuracy: 0.93% Precision 0.934 0.945 ...
Journal of Applied Volcanology (2023) 12:8 Page 24 of 26 Table 10 Comparison between some of the survey results and the database entries. X—indicates a difference in classification between the database entry for that map (compiled by Ogburn et al. 2023) and our data set as ...
For some of the hydrogen carriers or substances that are a result of reactions that happen with these carriers, there is no classification at all; it is unknown how dangerous these substances are. On the other hand, some hydrogen carriers such as NEC have been thoroughly assessed using a ...
The total number of elements belonging to a real class is equal to the sum of the values on the corresponding row of the table. The total number of the elements present in the set involved in the classification operation is equal to the sum of all the totals. Table 2 shows the ...
The parameters of the three models are shown in Table 1: Table 1. Parameters of the three classification algorithms. Classification Algorithm KNN SVM MLP Parameters K=3 C = 1, kernel = 'RBF', degree = 3, gamma = 'auto' Number of hidden layer nodes [32, 16, 4] In the online phase...