prakharg24 commited on
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Update my_pages/multiverse.py

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  1. my_pages/multiverse.py +5 -6
my_pages/multiverse.py CHANGED
@@ -265,10 +265,9 @@ def render():
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  uniq_perc = 10.5
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  add_red_text(f"""
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- Your chosen model rejected {uniq_perc}% loans that would have been accepted by more than 90% of the other models.<br><br>
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- You might want a higher value here, as you will not be competiting for the same loan applicants with others, and will give a chance to unique applicants.
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- In other words, you are concerned about homogenization and are trying to avoid it.<br><br>
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- On the other hand, you might instead want a lower value here, as you will be taking lower risks and giving loans to only applicants who are highly likely to repay.
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- Moreover, you do not have to face a justification crisis, where you cannot explain why certain applicants were rejected when they were accepted by everyone else.
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- In other words, you are concerned about arbitrariness and are trying to avoid it.<br><br>
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  """)
 
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  uniq_perc = 10.5
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  add_red_text(f"""
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+ <b>Multiplicity of your predictions:</b> Your chosen model rejected {uniq_perc}% loans that would have been accepted by more than 90% of the other models.<br><br>
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+ You might want higher multiplicity, to avoid competiting for the same loan applicants with others and to give a chance to unique applicants.<br><br>
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+ On the other hand, you might instead want lower multiplicity, to take lower risks and to avoid facing a justification crisis, i.e.,
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+ not able to explain why you rejected certain applicants when they were accepted by everyone else.<br><br>
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+ Whether you want higher or lower multiplicity depends on the context. However, an understanding of how your decisions impact multiplicity is extremely important!
 
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  """)