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Finally, in Fig. 2 the NIST 2008 database curve has the smallest variation between the highest SIA (at mixture size 512) and the lowest SIA achieved at mixture size 8.
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When the number of selected compounds was more than 20%, the sum set gave the highest database enrichment curve among these four curves.
The database enrichment curve by the consensus set was the highest among these four curves in the range of the number of selected compounds <20%.
In contrast, the evaluation of the SITW database (blue curve) has the lowest SIA performance, as expected, most probably due to the wild and challenging environments compared to the semi-ideal TIMIT database and the less challenging conditions of NIST 2008.
The surface area under the database enrichment curve (q) is a measure of the database enrichment.
The contribution of each principal component is estimated using a database enrichment curve.
The database enrichment curve by the sum set was quite close to that by the consensus set.
Let x and f(x) be the numbers of compounds selected from the total compound library and from the database enrichment curve, respectively.
The surface area under the database enrichment curve q α is evaluated for the α-th principal component axis; namely, the suffix j in eq. 9 is set as α and N select is set as 1, and the database enrichment curve f α is calculated for the α-th axis, the same as in eq. 5.
The q α values are calculated by where x and f α (x) are the percentages of compounds that are selected from the total compound library and the database enrichment curve, respectively.
The database enrichment curves by the consensus and sum sets were close to the database enrichment curve by the MSM-MTS method rather than that by the ML-DSI method.
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