Semester : SEMESTER 6
Subject : Data Warehousing & Mining
Year : 2020
Term : SEPTEMBER
Branch : INFORMATION TECHNOLOGY
Scheme : 2015 Full Time
Course Code : IT 304
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030001T304052001
Example Colour Type Origin Whether
No. stolen
|8 | SUV
|9 | ۷
र
ಸ್ಪ |
10 [Red = | Sports Imported Yes
Explain in detail about Support vector machine.
Use ID3 algorithm to construct a decision tree for the data in the following
table.
Age Competition Type Class(Profit)
[00 | No Hardware
Mid Software
Mid Hardware
New Yes Software
New Hardware
Write the steps used for constructing a decision tree using ID3 algorithm.
How to select the best splitting criterion in Decision tree?
What is overfitting in neural network training? Which are the two
approaches to avoid overfitting?
Obtain a linear regression for the data in the table below assuming that y is
the independent variable.
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