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Table 2 The performance of heteroencoder in both the training and test sets

From: A de novo molecular generation method using latent vector based generative adversarial network

Dataset

# compounds

Validity (%)

Reconstruction error (%)

Training set

974,105

99

18

Test set

10,823

98

20

  1. Percent of valid SMILES strings generated by the decoder (validity), percent of molecules not reconstructed correctly from valid SMILES (reconstruction error)