Quando rodo o código, retorna desvio padrão = 0.
from sklearn.model_selection import cross_validate
from sklearn.dummy import DummyClassifier
import numpy as np
SEED = 301
np.random.seed(SEED)
modelo = DummyClassifier()
results = cross_validate(modelo, x_azar, y_azar, cv = 10, return_train_score=False)
media = results['test_score'].mean()
desvio_padrao = results['test_score'].std()
print("Accuracy com dummy stratified, 10 = [%.2f, %.2f]" % ((media - 2 * desvio_padrao)*100, (media + 2 * desvio_padrao) * 100))O results['test_score'] apresenta array:
array([0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58, 0.58])
