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Table 3

The accuracy and used time for CNN-LSTM different hyper-parameters

Dataset Method Accuracy F1_macro Precision_macro Recall_macro Time/s(batch_size)
Adlnormal Empirical 0.821 3 0.794 5 0.792 3 0.811 2 197(100)
CS 0.861 2 0.844 1 0.843 7 0.858 7 305(254)
Optuna 0.738 3 0.477 1 0.424 8 0.551 1 345(798)
Kasteren Empirical 0.846 9 0.422 1 0.431 0 0.436 1 439(100)
CS 0.877 4 0.323 9 0.315 9 0.338 1 8726(1)
Optuna 0.838 5 0.302 0 0.295 6 0.310 1 920(754)
Physical Activity Empirical 0.883 1 0.869 8 0.912 3 0.874 4 290(100)
CS 0.903 9 0.897 0 0.926 2 0.896 9 588(496)
Optuna 0.729 3 0.667 0 0.769 7 0.733 8 60(556)

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