Research Article
Ensemble Deep Learning for Biomedical Time Series Classification
Table 9
Data distribution.
| | | Dataset | Normal | Abnormal | Total | Source |
| | The training samples | data944–25693 | 8800 | 3520 | 12320 | Shanghai, District #1 | | The validation samples | data944–25693 | 280 | 280 | 560 | Shanghai, District #1 | | The testing samples (DS1) | data944–25693 | 8387 | 3402 | 11789 | Shanghai, District #1 | | The testing samples (DS4) | data25694–37082 | 4911 | 6352 | 11263 | Shanghai, District #2 | | The testing samples (DS2) | data37083–72607 | 25020 | 10249 | 35269 | Shanghai, District #3 | | The testing samples (DS3) | data72608–95829 | 16210 | 6508 | 22718 | Shanghai, District #4 | | The testing samples (DS5) | data95830–119551 | 10351 | 12948 | 23299 | Shanghai, District #5 | | The testing samples (DS6) | data119552–141104 | 9703 | 11529 | 21232 | Shanghai, District #6 | | The testing samples (DS7) | data141105–160913 | 9713 | 9831 | 19544 | Shanghai, District #7 | | The testing samples (DS8) | data160914–175871 | 6944 | 7781 | 14725 | Shanghai, District #8 | | The testing samples (DS9) | data175872–179130 | 2289 | 935 | 3224 | Suzhou, District #1 |
|
|
