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Table 5 Performance metrics for MLR with various predictors

From: Predicting cash holdings using supervised machine learning algorithms

Model no

Model predictors

R2

RMSE

1

CR, TANG, CF, DIV, EPS, STD

0.1611

0.1037

2

NWC, CR, SIZE, CF, Age

0.161

0.1036

3

Age, WUI, CAPEX, DIV, IE

0.0755

0.1109

4

CF, SIZE, NWC, SSG, STD

0.1022

0.1093