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Table 4 Confusion matrix and accuracy of the CIT developed on the test data

From: Utilizing machine learning to identify fall predictors in India's aging population: findings from the LASI

Response

Yes

No

Total

Prediction

   

 Yes

715 [732]

369 [390]

1084 [1122]

 No

739 [722]

1081 [1060]

1820 [1782]

 Total

1454 [1452]

1450 [1450]

2904 [2904]

  1. Accuracy: 61.85% (60.05%−63.62%) [61.71%(59.91%−63.48)], Sensitivity: 49.17%[50.34%], Specificity: 74.55%[73.10%], Precision: 65.96%[65.24%], Recall:49.17%[50.34%], F1 Score: 56.34%[56.83%], Balanced Accuracy:61.86%[61.72%]
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BMC Geriatrics

ISSN: 1471-2318

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