Table 2.

The summarization of all methods. The first block and the second block, respectively, list the classification methods and the regression methods, while all multi-task methods are listed in the third block. Note that, FS: feature selection, SW: sample weight, IMB: imbalance classification, CLASS: classification, and REG: regression.

Methods	FS	SW	IMB	CLASS	REG
SVM (Chang and Lin, 2011)				√
L1SVM (Chang and Lin, 2011)	√			√
Random forest (Liaw and Wiener, 2002)			√	√
SFS (Adeli et al., 2020)	√	√	√	√
Ridge regression					√
L1SVR (Chang and Lin, 2011)	√				√
Lasso (Tibshirani, 1996)	√				√
Random forest (Liaw and Wiener, 2002)	√		√		√
MSFS (Zhu et al., 2014)	√			√	√
Hyperface (Ranjan et al., 2017)				√	√
COVID-CAPS (Afshar et al., 2020)			√	√	√
CNNE (Duan et al., 2018)				√	√
Proposed	√	√	√	√	√