Algorithm 3.

Bootstrapping2

1:	procedure BOOTSTRAPPING THE TRAINING X DATASET FROM TENFOLDS USING MATHEMATICAL COMBINATION
2:	Input : input data Xtrain
3:	Output : nine different training input dataset X2j
4:	⊳ Start with the original dataset Xtrain, but edit the selected column by the corresponding column in algorithm1
5:	X2 = Xtrain
6:	for Each column in X2 as j do
7:	⊳ make a copy of X2j for editing
8:	column = X2j
9:	for r in range(1, 12) do
10:	⊳ generate all unique iterations of column using nCr method, and then replace the corresponding index in the Xtrain while the rest of the columns remain the same
11:	newdata = nCriterations(12, r, row)
12:	X2j = replace_bootstrapping1(Xtrain[j]_replace Xp[newdata])