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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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