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Table 14 Feature importance of the Forest Fire Data (single run/averaged 100 runs)

From: Generalized Estimating Equations Boosting (GEEB) machine for correlated data

 

Feature importance (single run)

Averaged feature importance (100 runs)

Mean

SD

(Intercept)

\(-1.84015877\times {10}^{-17}\)

\(-9.44600470\times {10}^{-19}\)

\(7.34268206\times {10}^{-18}\)

daymon

0.00783564

0.00964657

0.00640527

daysat

0.03137851

0.01906195

0.00788899

daysun

0.02750425

0.01370748

0.00790682

daythu

0.01424024

0.00145060

0.00662915

daytue

0.02618028

0.01721314

0.00760060

daywed

0.00548812

0.00884680

0.00685072

DC

0.01169941

0.01493954

0.00856180

DMC

0.01763062

0.01490499

0.00925210

FFMC

0.01624885

0.00877412

0.00541663

ISI

− 0.02200907

− 0.02049532

0.00602142

rain

0.00847838

0.00169441

0.00866076

RH

− 0.03097815

− 0.01785837

0.00823336

temp

− 0.00883744

0.00113329

0.01025085

wind

0.02119821

0.02607868

0.00648451

X

0.01978786

0.01864735

0.00676956

Y

0.01116722

0.00258028

0.00731071