---
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alternate:
  - https://catboost.ai/docs/en/concepts/python-reference_catboost_get_scale_and_bias.md
  - href: en/concepts/python-reference_catboost_get_scale_and_bias.md
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---
> **Documentation Index:** Fetch the complete configuration index at https://catboost.ai/docs/en/llms.txt

# get_scale_and_bias

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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:
$\sum leaf\_values \cdot scale + bias$
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## Method call format {#method-call-format}

```python
get_scale_and_bias()
```

## Type of return value {#type-of-return-value}

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tuple
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## Examples

```python
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:

```no-highlight
(1.0, 0.0)
```