five

Results on validation set data.

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Figshare2021-07-30 更新2026-04-28 收录
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Five models are trained using various input masking probabilities (IMP). Each resulting model is validated using the heavily masked validation dataset of 13596 samples (5668 positive) to evaluate their performance in the context of missing input data. AUC values for the optimal training IMP are shown, along with those achieved with no input masking (NIM). Bold font indicates the highest AUC in the table. Results for other IMP values are provided in the S1 File.
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2021-07-30
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