leave one out cross validation

leaveoneout = LeaveOneOut()

#Model Implementation
model = RandomForestClassifier()

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

#Cross Validation
cv_score = cross_validate(model, df[:10], y[:10],scoring=scoring ,cv=leaveoneout, n_jobs=-1)

cv_score