Tuning a Churn-Prediction Random Forest with GASearchCV

What happened when I let a genetic algorithm pick my model's settings instead of guessing them myself. The problem I was trying to solve I built a model that predicts whether a phone company customer is going to cancel their plan ("churn") or stick around. I used real data from IBM — about 7,043 customers, and only about 1 in 4 of them actually... Weiterlesen: Tuning a Churn-Prediction Random Forest with GASearchCV