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Figure 7 Average speaker identification rates using different training sets.
The identification rates for unknown conditions were also improved.
Table 6 Correct identification rates for alternating sections.
Again, we also show identification rates for SIRIUS 3 considering only molecular formulas from PubChem.
This is why the rank 1 identification rates of wQVTM is worse.
Meanwhile, by using '3s.15u' datasets, the average identification rates were 92.4%, 93.0%, and 92.2%.
For larger mass, identification rates for the smaller PubChem candidate lists outperform the regular SIRIUS 3.
While, by using '3s.15u' datasets, the average identification rates were 93.2%, 93.7%, and 92.2%.
The rank 1 identification rates and the EERs are shown in Tables 4 and 5, respectively.
Combining the different results will therefore greatly improve the identification rates.
Figure 5 shows identification rates as a function of compound mass.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com