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Table 1 Performance of different approaches (algorithms) on test data

From: Machine learning analysis of exome trios to contrast the genomic architecture of autism and schizophrenia

Method

Accuracy

Precision

Recall

NIR

P-value (Acc > NIR)

95% CI

SNV-based

0.86

0.73

0.98

0.63

< 4.97e-22

(0.82,0.89)

Gene-based

0.88

0.80

0.96

0.58

< 3.09e-36

(0.85,0.92)

  1. The performance between the two algorithms trained to distinguish ASD cases from SCZ cases is measured on a previously unseen test dataset. The accuracy is a measure of the number of correctly predicted samples divided by the total number of samples
  2. Acc Accuracy, NIR No information rate, CI Confidence interval
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BMC Psychiatry

ISSN: 1471-244X

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