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 : 308

The given dataset provides information about individuals with features such as hair color, height, weight, and lotion use, along with the resulting outcome of sunburn or no sunburn. From an Artificial Intelligence and Machine Learning perspective, this dataset can be used to build a classification model to predict the likelihood of sunburn based on these attributes. Each feature in the dataset can be considered as an input variable or predictor, while the result serves as the target variable. Hair color is a categorical variable with values

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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

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

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