prakharg24 commited on
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Update my_pages/multiverse.py

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  1. my_pages/multiverse.py +4 -4
my_pages/multiverse.py CHANGED
@@ -123,7 +123,8 @@ def render():
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  """
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  Visually explore the multiverse of AI models to judge loan applications.<br>
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  We are using a publicly available loan approval dataset.<br>
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- Make a choice, and scroll down to see the properties of the trained model.
 
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  """
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  )
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@@ -311,13 +312,12 @@ def render():
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  uniq_count_acc = np.sum(condition_acc)
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  add_red_text(f"""
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- <b>Multiplicity of your predictions:</b><br>
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  Number of loans accepted by the majority, but rejected by you: {uniq_count_rej}<br>
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  Number of loans rejected by the majority, but accepted by you: {uniq_count_acc}<br><br>
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- <b>Reasons you might want lower multiplicity:</b><br>
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  To take lower risks and to avoid facing a justification crisis, i.e.,
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  not able to explain why you rejected an applicant who would have been accepted by most other models.<br><br>
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- <b>Reasons you might want higher multiplicity:</b><br>
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  To avoid competiting for the same loan applicants with others.<br>
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  To give a chance to unique applicants and deal with the concerns of homogenization.<br><br>
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  """)
 
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  """
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  Visually explore the multiverse of AI models to judge loan applications.<br>
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  We are using a publicly available loan approval dataset.<br>
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+ Make a choice, and scroll down to see the properties of the trained model.<br>
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+ Not sure what choice to make? Just pick something to see what happens.
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  """
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  )
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  uniq_count_acc = np.sum(condition_acc)
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  add_red_text(f"""
 
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  Number of loans accepted by the majority, but rejected by you: {uniq_count_rej}<br>
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  Number of loans rejected by the majority, but accepted by you: {uniq_count_acc}<br><br>
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+ <b>Reasons you might want to conform:</b><br>
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  To take lower risks and to avoid facing a justification crisis, i.e.,
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  not able to explain why you rejected an applicant who would have been accepted by most other models.<br><br>
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+ <b>Reasons you might want to be unique:</b><br>
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  To avoid competiting for the same loan applicants with others.<br>
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  To give a chance to unique applicants and deal with the concerns of homogenization.<br><br>
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  """)