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Table 4 Deep neural network

From: Recognition of cooking activities through air quality sensor data for supporting food journaling

 Original predictionsAfter post-processing
TN29,3027297,008
FP41,14037,159
TP12,68712,461
FN36373863
Accuracy (%)87.2288.30
Specificity (%)87.6988.88
Recall (%)77.7276.34
Precision (%)23.5725.11
\(F_1\) score (%)36.1737.79
  1. Results with minute by minute modality, delayed recognition
  2. Numbers in italic indicate the largest value obtained in the experiment for each considered metric