Using linear regression, the embedding replicate space is a near 56% replicate of the true embedding space based on the neighbor test after the sixth neighborhood layer for the alkenes embeddings. Whereas the non-linear coefficients can provide a replicate of up to 82% success on the neighbor test by the fifth order replicate. Additionally, the mean distance to the true embedding (1.70) is near the minimum distance between embeddings (1.79). This means that it is nearing the neighborhood density of the true embedding model underlining the limitations of the neighbor test. Comparing this distance with the average distance between any two alkene embeddings (9.46), we can see that we are well-within the alkene predictions, making fine-tuned replicates based on multiple bonds away.