एनवेलप से फीचर निकालना

# Calculate stats
means = np.____(audio_rectified_smooth, axis=0)
stds = ____(audio_rectified_smooth, axis=0)
maxs = ____(audio_rectified_smooth, axis=0)

# Create the X and y arrays
X = np.column_stack([____, ____, ____])
y = labels.reshape(-1, 1)

# Fit the model and score on testing data
from sklearn.model_selection import cross_val_score
percent_score = ____(model, ____, ____, cv=5)
print(np.mean(percent_score))