Pemodelan Risiko Kredit di R
Lore Dirick
Manager of Data Science Curriculum at Flatiron School
$$
| Tanpa gagal bayar (0) | Gagal bayar (1) | |
|---|---|---|
| Tanpa gagal bayar (0) | TN | FP |
| Gagal bayar (1) | FN | TP |
$$
$\text{Akurasi} = \frac{TP +TN}{TP + FP + TN + FN}$
$\text{Sensitivitas} = \frac{TP}{TP + FN}$
$\text{Spesifisitas} = \frac{TN}{TN + FP}$
$$

$$
$\text{Sensitivitas} = \frac{TP}{TP + FN}$
$\text{Spesifisitas} = \frac{TN}{TN + FP}$

$$
$\text{Sensitivitas} = \frac{TP}{TP + FN}$
$\text{Spesifisitas} = \frac{TN}{TN + FP}$

$$
$\text{Sensitivitas} = \frac{TP}{TP + FN}$
$\text{Spesifisitas} = \frac{TN}{TN + FP}$

$$
$\text{Sensitivitas} = \frac{TP}{TP + FN}$
$\text{Spesifisitas} = \frac{TN}{TN + FP}$

$$
$\text{Sensitivitas} = \frac{TP}{TP + FN}$
$\text{Spesifisitas} = \frac{TN}{TN + FP}$

$$
$\text{Sensitivitas} = \frac{TP}{TP + FN}$
$\text{Spesifisitas} = \frac{TN}{TN + FP}$

$$
$\text{Sensitivitas} = \frac{TP}{TP + FN}$
$\text{Spesifisitas} = \frac{TN}{TN + FP}$

A = 0.75B = 0.78Pemodelan Risiko Kredit di R