leave p out cross validation practical example

leavepout = LeavePOut(p=2)

#Model Implementation
model = RandomForestClassifier()

#Scoring Function
scoring=['balanced_accuracy','precision_macro','recall_macro']

#Cross Validation
cv_score = cross_validate(model, df[:6], y[:6],scoring=scoring ,cv=leavepout, n_jobs=-1)

cv_score