# data[].attributes.body
5 for sure

# data[].attributes.body
As it is able to collectively maximize the utility among all the applicant

# data[].attributes.body
Algorithm 5 has maximised happiness (right side) while distributing occupation across the whole set of homes

# data[].attributes.body
Algorithm 5 shows the greater utility.

# data[].attributes.headline
Which algorithm is the most fair and why?

# data[].attributes.subject
Which algorithm is the most fair and why?

# data[].attributes.body
Based on the information I can gather from these graphic representations, I think Algorithm 5 is the most fair.

RATIONALE: It (#5) minimizes disparities in outcomes while maintaining balanced satisfaction levels across participants. This aligns with fairness principles that prioritize equity over maximizing individual happiness for a subset of participants.

# data[].attributes.body
Algorithm 5, output is most fair as distribution is the most narrow

# data[].attributes.headline
Algorithm 5 seems to have the fairest distribution 

# data[].attributes.subject
Algorithm 5 seems to have the fairest distribution 

# data[].attributes.headline
Algorithm 3 seems to have satisfied the largest number of people.

# data[].attributes.subject
Algorithm 3 seems to have satisfied the largest number of people.

# data[].attributes.body
Algo 3.

# data[].attributes.headline
2 & 4 are similar in terms of 'fairness'

# data[].attributes.subject
2 & 4 are similar in terms of 'fairness'

# data[].attributes.body
Both seem to maximise utility with a narrower distribution.

# data[].attributes.body
These both have close to a standard distribution around the mean.

# data[].attributes.headline
Algorithm 2 and 4 seems to have a better fairer distribution.

# data[].attributes.subject
Algorithm 2 and 4 seems to have a better fairer distribution.

# data[].attributes.body
It seems the most equally distributed across the board.

# data[].attributes.headline
I'm going to say algorithm 5 seems the most fair. 

# data[].attributes.subject
I'm going to say algorithm 5 seems the most fair. 

# data[].attributes.body
algorithm 5

output is the most fair

# data[].attributes.body
It seems to be more equitable as compared to the others

# data[].attributes.body
It looks like a fairer result based on the mean distance.