Table 9 Feature-target correlations (Top 8 Features).

From: Forecasting cashew production in India using a hybrid machine learning framework with STL decomposition, ensemble methods, and global trade network analysis

Feature

Pearson \(\rho\)

p-value

qty_log

0.91

\(<0.001\)

qty_roll_mean3

0.87

\(<0.001\)

qty_lag1

0.87

\(<0.001\)

\(t^3\)

-0.82

\(<0.001\)

qty_stl_trend

0.79

\(<0.001\)

\(t^2\)

-0.76

\(<0.001\)

qty_lag2

0.71

\(<0.001\)

t

-0.66

\(<0.001\)

Back to article page