Table 4.
Classifier | Personalized Approach | Generalized Approach | ||||||||
---|---|---|---|---|---|---|---|---|---|---|
TST | SOL | WASO | SE | NA | TST | SOL | WASO | SE | NA | |
NB | <0.01 | 0.13 | <0.01 | <0.01 | <0.01 | <0.01 | 0.36 | <0.01 | <0.01 | <0.01 |
RLR | <0.01 | <0.01 | <0.01 | <0.01 | <0.01 | <0.01 | <0.01 | <0.01 | <0.01 | <0.01 |
RF | 0.11 | 0.01 | 0.49 | 0.07 | 0.64 | <0.01 | <0.01 | <0.01 | <0.01 | 0.29 |
AB | 0.02 | <0.01 | 0.14 | <0.01 | 0.65 | <0.01 | <0.01 | <0.01 | <0.01 | <0.01 |
XGB | 0.01 | <0.01 | 0.07 | <0.01 | 0.07 | <0.01 | <0.01 | <0.01 | <0.01 | <0.01 |
Abbreviations: NB, Naive Bayes; RLR, regularized logistic regression; RF, random forest; AB, adaptive boosting; XGB, extreme gradient boosting; TST, total sleep time; SOL, sleep onset latency; WASO, wake after sleep onset; SE, sleep efficiency; NA, number of awakenings.