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Table 1 Classification of phenotypes against genes

From: Mimvec: a deep learning approach for analyzing the human phenome

  AUC (%) ACC (%) BER (%)
  LR RF SVM LR RF SVM LR RF SVM
Mimvec (50) 99.31 99.20 99.34 97.52 96.49 97.80 2.97 4.29 2.74
Mimvec (100) 99.41 98.92 99.31 97.83 96.17 97.78 2.60 5.19 2.75
Mimvec (150) 99.35 98.79 99.34 97.73 95.21 97.69 2.71 6.41 2.83
Mimvec (200) 99.43 98.67 99.26 97.75 94.43 97.67 2.65 7.99 2.85
Mimvec (250) 99.42 98.71 99.33 97.73 94.04 97.86 2.75 8.55 2.64
Mimvec (300) 99.36 98.50 99.17 97.70 93.59 97.60 2.75 9.32 2.91
  1. Disease and gene records can be well distinguished by vector representations of the records
  2. Bold numbers highlight performance achieved at the default setting (100 dimensions)