Linda Fernsel

[Error] get_disparity_predefined_group() raises AttributeError

3

I try executing the following code: ``` bdf = b.get_disparity_predefined_groups(xtab, original_df=df, ref_groups_dict={'race':'Caucasian'}, alpha=0.05, check_significance=True, mask_significance=False) bdf.style ``` but it raises an Attribute Error with the following details: ``` get_disparity_predefined_group() ---------------------------------------------------------------------------...

According to [Verma & Rubin 2018](https://ieeexplore.ieee.org/abstract/document/8452913?casa_token=ML5mZqZWGiwAAAAA:B8V-_Kxl-nitYu9omc5Nk5YRcW9S0FadL3t6V6kQ233Le-LHQY-uCKowf-lHpKMmesBaLzq7yKXZ) PPV + FDR = 1 and thus if there is PPV Parity there is also FDR Parity. However, Aequitas sais there is no FDR...

Hi, sorry to be bothering you again! I am currently looking at src/aequitas/bias.py to find out how the significance is calculated. Here is what I think I understood: 1. Check...

Here: https://github.com/dssg/aequitas/blob/master/docs/source/examples/compas_demo.ipynb Under "How do I assess model fairness?" > "Pairities Calcuated" it sais Predicted Positive Ratio k Parity | Statistical Parity -- | -- According to [your definitions](https://dssg.github.io/aequitas/metrics.html) Predicted...

minor fixes to the Compas example

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I intent to fix #79 #80 #81 * I switched the variable names that got mixed up * I reworded "equally likely to predict" to "equally likely to incorrectly predict"...

[Solved] meaning of get_crosstabs() param "score_thresholds", "score"

4

Hi everyone, I am analyzing whether an API performs equally well for all groups. So I have a data set where I have continuous "score" values between 0 and 1....

[Resolved] get_disparity_predefined_group() raises TypeError

1

Hi everyone, I am a CS student and I am trying out your Aequitas COMPAS analysis example. When I run https://github.com/dssg/aequitas/blob/master/docs/source/examples/compas_demo.ipynb on my local machine (Python 3), when trying to...

https://github.com/dssg/aequitas/blob/master/docs/source/examples/compas_demo.ipynb Under "Levels of recidivism" you write `label_by_age = sns.countplot(x="sex", hue="label_value", data=df, palette=aq_palette)` and then `label_by_sex = sns.countplot(x="age_cat", hue="label_value", data=df, palette=aq_palette)`. It seems like the names were switched. Also I...

In https://github.com/dssg/aequitas/blob/master/docs/source/examples/compas_demo.ipynb Under "Visualizing default absolute group metrics across all population groups" Under "Default absolute group metrics" You say "We can also see that the model is equally likely to...

About https://github.com/dssg/aequitas/blob/master/docs/source/examples/compas_demo.ipynb In the part "Visualizing a single absolute group metric across all population groups" you say "We can see from the longer bars that across 'age_cat', 'sex', and 'race'...