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Table 3 Performance on the test set with the best set of hyperparameters identified on the validation set. Results of TG are reported as median [25th-75th] percentile. Abbreviations: FP/day, false positives per day; TG, time gain; rAR, recursive Autoregressive model; ARIMA, Autoregressive Integrated Moving Average; NN, Neural Network; LSTM, Long Short-Term Memory Neural Network; CNN-LSTM, Convolutional Long Short-Term Memory Neural Network; RF, Random Forest; LGB, LightGBM

From: Towards a decision support system for post bariatric hypoglycaemia: development of forecasting algorithms in unrestricted daily-life conditions

Model

Precision (%)

Recall (%)

F1-Score (%)

FP/day

TG (min)

rAR

64.38

84.43

73.06

0.17

10 [5–15]

ARIMA

44.87

70.66

54.88

0.31

10 [10–15]

NN

64.14

55.69

59.62

0.11

10 [10–15]

LSTM

68.97

59.88

64.10

0.1

10 [10–15]

CNN-LSTM

68.70

53.89

60.40

0.1

10 [5–10]

RF

70.07

57.49

63.16

0.08

10 [5–15]

LGB

67.52

63.47

65.43

0.1

10 [5–10]