Skip to main content
. 2021 Jul 1;16(7):e0254134. doi: 10.1371/journal.pone.0254134

Table 5. Comparison of F1 scores between the unidirectional and bidirectional models.

Inhalation Exhalation CASs DASs
Models n of trainable parameters F1 score F1 score F1 score F1 score
Segment Detection Event Detection Segment Detection Event Detection Segment Detection Event Detection Segment Detection Event Detection
LSTM 300,609 73.9% 76.1% 51.8% 57.0% 15.1% 12.2% 62.6% 59.1%
SIMP BiLSTM 235,073 77.8% 84.1% 55.8% 62.4% 19.8% 17.9% 68.8% 68.9%
GRU 227,265 76.2% 78.9% 59.8% 65.6% 24.6% 20.1% 65.9% 62.5%
SIMP BiGRU 178,113 80.1% 86.1% 63.7% 70.0% 25.0% 22.2% 70.3% 71.3%
CNN-LSTM 3,448,513 77.6% 81.1% 57.7% 62.1% 45.3% 42.5% 68.8% 64.4%
SIMP CNN-BiLSTM 3,382,977 80.0% 85.8% 60.4% 66.2% 50.8% 50.2% 70.2% 70.2%
CNN-GRU 2,605,249 78.4% 82.0% 57.2% 62.0% 51.5% 49.8% 68.0% 64.6%
SIMP CNN-BiGRU 2,556,097 80.1% 85.9% 62.4% 68.4% 52.6% 51.5% 69.9% 69.5%

The bold values indicate the higher F1 score between the compared pairs of models. SIMP means the number of trainable parameters is adjusted.