Modelowanie ryzyka kredytowego w R
Lore Dirick
Manager of Data Science Curriculum at Flatiron School
$$
| Brak niespłacenia (0) | Niespłacenie (1) | |
|---|---|---|
| Brak niespłacenia (0) | TN | FP |
| Niespłacenie (1) | FN | TP |
$$
$\text{Accuracy} = \frac{TP +TN}{TP + FP + TN + FN}$
$\text{Sensitivity} = \frac{TP}{TP + FN}$
$\text{Specificity} = \frac{TN}{TN + FP}$
$$

$$
$\text{Sensitivity} = \frac{TP}{TP + FN}$
$\text{Specificity} = \frac{TN}{TN + FP}$

$$
$\text{Sensitivity} = \frac{TP}{TP + FN}$
$\text{Specificity} = \frac{TN}{TN + FP}$

$$
$\text{Sensitivity} = \frac{TP}{TP + FN}$
$\text{Specificity} = \frac{TN}{TN + FP}$

$$
$\text{Sensitivity} = \frac{TP}{TP + FN}$
$\text{Specificity} = \frac{TN}{TN + FP}$

$$
$\text{Sensitivity} = \frac{TP}{TP + FN}$
$\text{Specificity} = \frac{TN}{TN + FP}$

$$
$\text{Sensitivity} = \frac{TP}{TP + FN}$
$\text{Specificity} = \frac{TN}{TN + FP}$

$$
$\text{Sensitivity} = \frac{TP}{TP + FN}$
$\text{Specificity} = \frac{TN}{TN + FP}$

A = 0.75B = 0.78Modelowanie ryzyka kredytowego w R