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Table 1 Aryl-amine mutagenicity data sets considered in this study.
At the end, the combinations of learners and data sets considered seeing their effectiveness.
Besides, the data sets considered for training, cover all data range.
All sets considered in this paper are assumed to be Borel.
The more different those distances are for different descriptor sets, the more different the particular descriptor sets considered behave.
In this case BLOSUM performs the worst among all descriptor sets considered, while ProtFP (Feature) performs the best.
13688_2018_140_MOESM1_ESM.pdf This file contains additional tables and figures, in particular for the other data sets considered in this paper.
In this case ProtFP (Feature) performs the worst among all descriptor sets considered, while BLOSUM performs the best.
In contrast, after random, GRAS compounds were the second most distant to all other data sets considered in this study.
We conducted log-likelihood and perplexity analysis by experimenting on all the six data sets considered for evaluation.
The inter-relationship between the correlation and the scalar flux was observed to be true in all the data sets considered here.
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