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Table 2 Performance of the CNN models for all data

From: P-wave first-motion polarity determination of waveform data in western Japan using deep learning

 250 Hz100 Hz
UCNNDCNNUCNNDCNN
Uhuman56.3%1.1%56.2%2.4%
Dhuman1.0%41.7%2.2%39.3%
Accuracy97.9%95.4%
  1. “U” and “D” indicate Up and Down, respectively, of the P-wave first-motion polarity determined by the CNN models or human experts (e.g., UCNN means the CNN models determine the polarity to be Up). The number of test data is 12,720 for 250 Hz and 4017 for 100 Hz
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