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Table 3 Model performance metrics

From: A smartphone-based online system for fall detection with alert notifications and contextual information of real-life falls

Metric

Across all participants

Average (SD) per participant

Volume of recorded data (days)

2070

90 (0)

Sample size (5 s clips)

14,904,000

648,000 (0)

# Falls confirmed by participants

37

1.6 (2.25)

# Stumbles confirmed by participants

31

1.3 (2.55)

# Falls-related events detected by the phone

72

3.3 (3.72)

True positives (correctly classified falls)

27

1.2 (2.1)

True negatives (correctly classified non-falls)

14,903,928

647999.6 (0.89)

False positives (wrongly classified non-falls)

45

1.95 (2.65)

False negatives (wrongly classified falls)

10

0.43 (0.84)

Daily false alarm rate

0.5

0.02 (0.03)

Accuracy

99.9997 %

99.9996 % (0.0004 %)

Sensitivity

73 %

68 % (39 %)*

Specificity

99.9998 %

99.9997 % (0.0004 %)

Precision

37.5 %

41 % (41 %)**

F1-score

0.495

0.51 (0.33)*

  1. *n = 13, only participants who experienced at least one fall, were included; **n = 16, only participants whose phone classified at least one event as a fall, were included