Group_​Project_​AI

Noticed some missing values, treated in the node bellow

replaced missing value by "mean" for numericals, and by "most frequent" for Nominal

Check that all columns are useful here. I think there is nothing to exclude but I leave it here in case we change our mind

Check for repartition, nothing to note, no particular outlayers

Check on the new DataSet

Here, you can choose to tick the "remove included columns from output" option to remove the original columns that have been transformed into Numerical value. For the first version, I chose to keep everything.

Here, for second version, I excluded the original columns to keep only numerical values

Node to put all numerical values as a nomalized model, so each varaiable has the same weight in the rest of the analysis.

Node to extract the newly prepared Data Set (I used it to run checks with ChatGPT, making sure there

excluding "Female_Gender", as it is redundant with "Male_Gender". From now on, in "Male_Gender", "1 = Male" and "0 = Female"