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ArsenicNet: An efficient way of arsenic skin disease detection using enriched fusion Xception model

Table 5

Performance metrics comparison of various models for 80:10:10 data split. Here, 80% for training set, 10% validation set, 10% test set, test accuracy as Test_Acc.

Table 5

doi: https://doi.org/10.1371/journal.pone.0322405.t005