[Bug] Erro com o Numpy na hora de `Plotar Gráfico aula 1

Utilizei o código:

import seaborn as sns

sns.lineplot(x = "max_depth", y = "train", data = resultados)
sns.lineplot(x = "max_depth", y = "test", data = resultados)

Encontrei o erro:

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-58-eab2560d8734> in <cell line: 3>()
      1 import seaborn as sns
      2 
----> 3 sns.lineplot(x = "max-depth", y = "treino", data = resultados)
      4 sns.lineplot(x = "max-depth", y = "teste", data = resultados)

3 frames
/usr/local/lib/python3.10/dist-packages/numpy/__init__.py in __getattr__(attr)
    322 
    323         if attr in __former_attrs__:
--> 324             raise AttributeError(__former_attrs__[attr])
    325 
    326         if attr == 'testing':

AttributeError: module 'numpy' has no attribute 'float'.
`np.float` was a deprecated alias for the builtin `float`. To avoid this error in existing code, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

Corrigi criando um gráfico com o matplotlib ao invés do seaborn, segue código:

import matplotlib.pyplot as plt

plt.figure(figsize=(10, 6))
plt.plot(resultados['max-depth'], resultados['treino'], marker='o', label='Treino', color='blue')
plt.plot(resultados['max-depth'], resultados['teste'], marker='o', label='Teste', color='orange')
plt.title('Desempenho do Modelo de Árvore de Decisão')
plt.xlabel('Profundidade Máxima da Árvore (max-depth)')
plt.ylabel('Acurácia (%)')
plt.grid(True)
plt.legend()

plt.show()