IGNOU MCS 224 2025 2026 - Name Hair Height Weight Lotion Result

Question

Name	Hair	Height	Weight	Lotion	Result
Sarah	blonde	average	light	no	sunburned (positive)
Dana	blonde	tall	average	yes	none (negative)
Alex	brown	short	average	yes	none
Annie	blonde	short	average	no	sunburned
Emily	red	average	heavy	no	sunburned
Pete	brown	tall	heavy	no	none
John	brown	average	heavy	no	none
Katie	blonde	short	light	yes	none

26 Dec 2025

Answer :

Word Count : 304

The given data represents a small dataset that could be used to analyze patterns in sunburn occurrence based on various features like hair color, height, weight, and lotion use. In the context of Artificial Intelligence (AI) and Machine Learning (ML), this dataset can be seen as an example of supervised learning, where the model learns to predict an outcome (sunburned or not) based on input features. Each row corresponds to an instance, and the features (hair, height, weight, lotion) act as input variables, while the result acts as the target variable. A machine learning algorithm, such as a decision tree

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Related Questions

Sl. No.	Color	Legs	Height	Smelly	Species
1	White	3	Short	Yes	M
2	Green	2	Tall	No	M
3	Green	3	Short	Yes	M
4	White	3	Short	Yes	M
5	Green	2	Short	No	H
6	White	2	Tall	No	H
7	White	2	Tall	No	H

1	2	3
4	8	-
7	6	5

X	3	4	5	6	7
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