Research Article

COVID-19 Propagation Prediction Model Using Improved Grey Wolf Optimization Algorithms in Combination with XGBoost and Bagging-Integrated Learning

Table 2

Correlation analysis of predictor and predicted variables in sample data.

Predicted variable: cumulative number of confirmed cases in China
Predictor variableCorrelation coefficient valuePredictor variableCorrelation coefficient value

X10.034>0.05X20.139>0.05
X3−0.592<0.01X40.538<0.01
X5−0.929<0.01X6−0.874<0.01
X70.536<0.01X8−0.366<0.01
X9−0.591<0.01X100.485<0.01
X11−0.564<0.01X12−0.536<0.01
X13−0.762<0.01X14−0.815<0.01
X15−0.724<0.01X16−0.574<0.01
X17−0.789<0.01X18−0.353<0.01
X19−0.651<0.01X20−0.820<0.01
X21−0.825<0.01X22−0.969<0.01
X23−0.956<0.01X24−0.726<0.01
X25−0.727<0.01X26−0.583<0.01
X270.692<0.01X28−0.216<0.01
X29−0.474<0.01X30−0.727<0.01
X31−0.882<0.01X32−0.917<0.01
X33−0.915<0.01X340.715<0.01
X350.596<0.01