k fold cross validation complete code

import numpy as np
import pandas as pd
from numpy import array
from sklearn.model_selection import cross_val_score
from sklearn.model_selection import KFold
from sklearn.ensemble import RandomForestClassifier
import warnings
warnings.filterwarnings('ignore')



df=pd.read_csv("https://archive.ics.uci.edu/ml/machine-learning-databases/00611/accelerometer.csv")
y=df.pop("wconfid")



kfoldcv = KFold(n_splits=5, random_state=1, shuffle=True)
model = RandomForestClassifier()
cv_score = cross_val_score(model, df, y,cv=kfoldcv, n_jobs=-1)
cv_score