Question: Using Python and the table below compute the following training exercises. CustomerID Gender Car Type Shirt Size Class 1 M Family Small C0 2 M

Using Python and the table below compute the following training exercises.

Using Python and the table below compute the following training exercises. CustomerID

CustomerID Gender Car Type Shirt Size Class
1 M Family Small C0
2 M Sports Medium C0
3 M Sports Medium C0
4 M Sports Large C0
5 M Sports Extra Large C0
6 M Sports Extra Large C0
7 F Sports Small C0
8 F Sports Small C0
9 F Sports Medium C0
10 F Luxury Large C0
11 M Family Large C1
12 M Family Extra Large C1
13 M Family Medium C1
14 M Luxury Extra Large C1
15 F Luxury Small C1
16 F Luxury Small C1
17 F Luxury Medium C1
18 F Luxury Medium C1
19 F Luxury Medium C1
20 F Luxury Large C1

Consider the training examples shown in the following table for a binary classification problem. 1. [2 points] Compute the Gini index for the Gender attribute. [2 points] Compute the Gini index for the Car Type attribute using multiway split. [2 points] Compute the Gini index for the Shirt Size attribute using multiway split. [2 points] Which attribute is better. Gender, Car Type, or Shirt Size

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