# get_scale_and_bias

Return the scale and bias of the model.

These values affect the results of applying the model, since the model prediction results are calculated as follows:
$\sum leaf\_values \cdot scale + bias$

## Method call format

get_scale_and_bias()


## Type of return value

tuple

from catboost import CatBoost
import numpy as np

train_data = np.random.randint(1, 100, size=(100, 10))
train_labels = np.random.randint(2, size=(100))

model = CatBoost()

print(model.get_scale_and_bias())



The output of this example:

(1.0, 0.0)