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Table 2 Performance of machine learning approaches on depression training dataset

From: Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error

  Approach 1 Approach 2
Training set size 5749 5749
Optimal cut-off score 0.1 0.07
Sensitivity 98.7% 98.7%
Upper 95% CI 0.997 0.997
Lower 95% CI 0.949 0.949
Specificity 86.0% 84.7%
Precision 50% 47.66%
Accuracy 1096/1251 = 87.6% 1081/1251 = 86.4%
WSS@95% 0.705 0.693
LR+ 7.421 9.451