
[Daily Automated AI Summary]
Notice: This post has been automatically generated and does not reflect the views of the site owner, nor does it claim to be accurate. Possible consequences of current developments Proportionately split dataframe with multiple target columns Benefits: Proportionately splitting a dataframe with multiple target columns can help in creating more balanced training and testing datasets for machine learning models. This can result in more accurate predictions as the model learns from diverse data representations of each target variable....