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  - https://catboost.ai/docs/en/concepts/python-reference_catboostregressor_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 {#examples}

```python
from catboost import CatBoostRegressor, Pool
import numpy as np

train_data = [[1, 4, 5, 6],
              [4, 5, 6, 7],
              [30, 40, 50, 60]]

eval_data = [[2, 4, 6, 8],
             [1, 4, 50, 60]]

train_labels = [10, 20, 30]

model = CatBoostRegressor()

print(model.get_scale_and_bias())

```

The output of this example:

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