use GINI gain to build a decision tree for classification of C 0 vs C 1 table Customer ID , Gender,Car Type,Shirt Size,Class , 1 , M , Family,Small,C 0 , 2 , M , Sports,Medium,C 0 , 3 , M , Sports,Medium,C 0 , 4 , M , Sports,Large,C 0 , 5 , M , Sports,Extra Large,C 0 , 6 , M , Sports,Extra Large,C 0 , 7 , F , Sports,Small,C 0 , 8 , F , Sports,Small,C 0 , 9 , F , Sports,Medium,C 0 , 1 0 , F , Luxury,Large,C 0 , 1 1 , M , Family,Large,C 1 , 1 2 , M , Family,Extra Large,C 1 , 1 3 , M , Family,Medium,C 1 , 1 4 , M , Luxury,Extra Large,C 1 , 1 5 , F , Luxury,Small,C 1 , 1 6 , F , Luxury,Small,C 1 , 1 7 , F , Luxury,Medium,C 1 , 1 8 , F , Luxury,Medium,C 1 , 1 9 , F , Luxury,Medium,C 1 , 2 0 , F , Luxury,Large,C 1

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Question: use GINI gain to build a decision tree for classification of C 0 vs . C 1 table [ [ Customer ID , Gender,Car

use GINI gain to build a decision tree for classification of C

0

.

1

\

table

[[

Customer ID

,

Gender,Car Type,Shirt Size,Class

], [1,

,

Family,Small,C

0], [2,

,

Sports,Medium,C

0], [3,

,

Sports,Medium,C

0], [4,

,

Sports,Large,C

0], [5,

,

Sports,Extra Large,C

0], [6,

,

Sports,Extra Large,C

0], [7,

,

Sports,Small,C

0], [8,

,

Sports,Small,C

0], [9,

,

Sports,Medium,C

0], [10,

,

Luxury,Large,C

0], [11,

,

Family,Large,C

1], [12,

,

Family,Extra Large,C

1], [13,

,

Family,Medium,C

1], [14,

,

Luxury,Extra Large,C

1], [15,

,

Luxury,Small,C

1], [16,

,

Luxury,Small,C

1], [17,

,

Luxury,Medium,C

1], [18,

,

Luxury,Medium,C

1], [19,

,

Luxury,Medium,C

1], [20,

,

Luxury,Large,C

1]]

use GINI gain to build a decision tree for

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