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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

```python
get_scale_and_bias()
```

## Type of return value

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tuple
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## Examples

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

train_data = Pool(data=[[1, 4, 5, 6],
                        [4, 5, 6, 7],
                        [30, 40, 50, 60]],
                  label=[1, 1, -1],
                  weight=[0.1, 0.2, 0.3])

model = CatBoostClassifier()

print(model.get_scale_and_bias())

```

The output of this example:

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