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Table 1 Accuracy results obtained with fivefold cross-validation with LR, using the traditional sigmoid activation function and cross-entropy loss

From: High performance logistic regression for privacy-preserving genome analysis

  # no regularization (%) Ridge regression (%) Lasso regression (%)
BC-TCGA 99.57 99.57 99.57
GSE2034 68.83 68.84 68.83
  1. Models were trained for 100 iterations. All computations are done in-the-clear, i.e. without use of the privacy-preserving protocols proposed in this paper
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BMC Medical Genomics

ISSN: 1755-8794

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