Create a decision tree based on the table, calculate the first tree separation in decision tree which attribute to start based on GINI or ENTROPY index depending on your choice. You
Create a decision tree based on the table, calculate the first tree separation in decision tree which attribute to start based on GINI or ENTROPY index depending on your choice. You
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Transcribed Image Text:Assuming that you are the quality engineer in a composite manufacturing process. You are
producing different products in two different classes with the following properties as tensile
strength and shear stress as given. Please explain your machine learning approach and test
for the new product data with Tensil =4, Shear=6. Is it going to be supervised or unsupervised.
+
Tensil
Shear
Class
Product 1
1
3
1
Product 2
2
2
Product 3
4
4
1
Product 4
1
Product 5
Product 6
6.
10
2
Transcribed Image Text:Create a decision tree based on the table, calculate the first tree separation in decision tree
which attribute to start based on GINI or ENTROPY index depending on your choice. You
can test binary or multiway splits.Chose which one is performing better. It is expected that
you compare two splits at least based on different properties. And please remember
identification columns never used in Machine Learning
Tid Age Car Type Class
23
Family
High
High
High
1
17
Sports
43
Sports
3
68
Family
Low
4
32
Truck
Low
20
Family
High
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