People are suffering from heart disease (HD) a lot. Few variables like Blood Pressure (BP), Cholesterol (C) and Sugar (S) are identified as explanatory variables. As a Data Scientist, you need to predict HD using supervised learning technique Decision Tree. Consider the dataset having few observation (Y: Yes, N: No) as,

S	C	BP	HD
Y	Y	70	Y
Y	N	120	N
N	Y	150	Y
N	Y	180	Y
Y	Y	210	Y
Y	N	220	N
N	N	225	N

i. Select the root node among S or C using GINI index.

ii. How you will proceed in case the quantitative variable like BP is also used to predict HD. Explain the process.