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Mélanges de GLMs et nombre de composantes : application ... - Scor

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C.5. Famille <strong>de</strong> produits Universal Savings<br />

Figure C.23 – Importance <strong>de</strong>s variables explicatives, produit Universal Savings.<br />

Variable importance for Universal_savings (All) on<br />

3 months basis<br />

General and by class error rate of Universal_savings (All) in<br />

3 months basis<br />

face.amount<br />

●<br />

duration<br />

risk.premium<br />

saving.premium<br />

duration.range<br />

fa.range<br />

lapse.age<br />

savingPrem.range<br />

un<strong>de</strong>rwriting.age<br />

riskPrem.range<br />

dist.channel<br />

un<strong>de</strong>rwritingAge.range<br />

gen<strong>de</strong>r<br />

●<br />

●<br />

●<br />

●<br />

●<br />

●<br />

●<br />

●<br />

●<br />

●<br />

●<br />

●<br />

Error<br />

0.02 0.05 0.10 0.20<br />

0 1000 2000 3000 4000 5000 6000<br />

MeanDecreaseGini<br />

0 10 20 30 40<br />

trees<br />

C.5.3<br />

Boxplot <strong>de</strong>s coefficients du modèle<br />

−0.5 0.0 0.5 1.0<br />

Comp. 2<br />

Comp. 3<br />

(Intercept)<br />

Comp. 4<br />

Comp. 5<br />

(Intercept)<br />

−0.5 0.0 0.5 1.0<br />

Figure C.24 – Coefficients <strong>de</strong> régression estimés <strong>de</strong>s poids <strong>de</strong>s <strong>composantes</strong>, produits Universal<br />

Savings.<br />

215

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