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Overall, assuming that the reference genome is correctly assembled, the corrected accuracy rate of our method is 93.6% (including consistent connections and correctable relocations).
In order to assess whether eye-tracking feedback led to a reliable benefit in finding targets, we computed a composite measure of corrected accuracy by subtracting False Alarm Rate from Hit Rate.
Finally, the corrected accuracy rate = 1 - (inversions + errant relocations + translocations) / total connections.
As shown in Figure 4 and Table 3, the corrected accuracy of L_RNA_scaffolder was in the range of the five scaffolders.
If the L_RNA_scaffolder connections in inversions, relocations and translocations with more supporting evidence are also considered as correct, then the corrected accuracy rate of our method reaches 97.6%.
Similar(55)
Its final corrected scalar accuracy has been demonstrated to be better than 50pTT.
It has been corrected for accuracy.
The session transcript was distributed to each of the participants and corrected for accuracy and completeness.
Experimental results are evaluated with respect to the correct accuracy performance of techniques.
Table 7 Confusion matrix for the thermal image classifier (3 types) (t1: sedan, t2: SUV, t3:truck) Classified t1 t2 t3 Actual t1 126 16 16 t2 26 8 2 t3 26 4 12 Table 8 Accuracy of vehicle classification by the thermal image classifier (3 types) Type The number of vehicle image Correct Accuracy t1 214 186 86.9 t2 36 8 22.2 t3 42 12 28.6 Overall 292 292 70.5.
Table 5 Confusion matrix for the visual image classifier (3 types) (t1: sedan, t2: SUV, t3:truck) Classified t1 t2 t3 Actual t1 155 4 2 t2 3 114 3 Table2 108 Table 6 Accuracy of vehicle classification by the visual image classifier (3 types) Type The number of vehicle image Correct Accuracy t1 161 155 96.3 t2 120 114 95.0 t3 110 108 98.2 Overall 391 391 96.4.
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