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

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C.7. Famille <strong>de</strong> produits “Structured Products”<br />

Figure C.35 – Importance <strong>de</strong>s variables explicatives, produit Structurés.<br />

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

3 months basis<br />

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

3 months basis<br />

duration<br />

face.amount<br />

lapse.age<br />

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

saving.premium<br />

duration.range<br />

dist.channel<br />

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

savingPrem.range<br />

fa.range<br />

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

●<br />

●<br />

●<br />

●<br />

●<br />

●<br />

●<br />

●<br />

●<br />

●<br />

●<br />

Error<br />

0.002 0.005 0.010 0.020 0.050 0.100 0.200 0.500<br />

0 100 200 300<br />

MeanDecreaseGini<br />

0 10 20 30 40<br />

trees<br />

C.7.3<br />

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

−10 0 10 20 30<br />

Comp. 1<br />

Comp. 2<br />

(Intercept)<br />

ibex<br />

Comp. 3<br />

Comp. 4<br />

(Intercept)<br />

ibex<br />

−10 0 10 20 30<br />

Figure C.36 – Coefficients <strong>de</strong> régression <strong>de</strong>s <strong>composantes</strong>, produits structurés.<br />

223

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