Leave One Out Cross Validation.py

############## LEAVE ONE OUT CROSS VALIDATION ###########
import numpy as np
""" Creating Sample X and y """
X = np.array([[1,2,3],
         [4,5,6],
         [7,8,9],
             [10,11,12],
             [13,14,15],
             [16,17,18]])
y = np.array([0,1,1,1,0,1])

""" Importing LeaveOneOut Cross Validation Inside The Script """
from sklearn.model_selection import LeaveOneOut 

""" Creating Object """
loo = LeaveOneOut()

""" Generating Indexes For Train and Test Data """
for train_index, test_index in loo.split(X):
    X_train, X_test = X[train_index], X[test_index]
    y_train, y_test = y[train_index], y[test_index]
    
    print("Train Index:", train_index, "|", "Test Index:", test_index)
    
---------------------------------------------------------------------------------------
Train Index: [1 2 3 4 5] | Test Index: [0]
Train Index: [0 2 3 4 5] | Test Index: [1]
Train Index: [0 1 3 4 5] | Test Index: [2]
Train Index: [0 1 2 4 5] | Test Index: [3]
Train Index: [0 1 2 3 5] | Test Index: [4]
Train Index: [0 1 2 3 4] | Test Index: [5]