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Table 2 Model performance

From: A machine learning model to determine the accuracy of variant calls in capture-based next generation sequencing

 

Present

Not present

High confidence variant

6622 / 6622 (100.0%)

True positive prediction

0 / 6622 (0%)

False positive prediction

Low confidence variant

44 / 557 (7.9%)

False negative prediction

513 / 557 (92.1%)

True negative prediction

  1. Results of a 10-fold cross-validation of the model on all 7179 variants. Variants called in the NGS pipeline were tested by Sanger sequencing. Those that were confirmed by Sanger sequencing are reported here as “Present”, and those that did not confirm are reported here as “Not Present”. All the variants were evaluated by the machine learning model and categorized as a “High confidence variant” or a “Low confidence variant”
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BMC Genomics

ISSN: 1471-2164

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