Closed abaghela closed 3 years ago
Made a comparison between RandomForest and LogisticRegression and we did hyperparameter tuning to find the best estimators of both model. We will choose the model and the best hyperparameter based on the scores we have from cross-validation.
We are reporting accuracy and f1 scores in this report. We will also consider Recall if it is necessary.
Why choose a random forest model for feature importance? You should probably compare the model to other ones, like logistic regression. Also what does the feature importance metrics mean in the context of random forest models or logistic regression? Which feature importance measure will you use for random forest? Random forest can also be used as a classifier which is why I am a little confused. Will you compare this to EDA in anyway?