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  3. Fraud Detection in Python

Exercise

Voting Classifier

Let's now combine three machine learning models into one, to improve our Random Forest fraud detection model from before. You'll combine our usual Random Forest model, with the Logistic Regression from the previous exercise, with a simple Decision Tree. You can use the short cut get_model_results() to see the immediate result of the ensemble model.

Instructions

100 XP
  • Import the Voting Classifier package.
  • Define the three models; use the Logistic Regression from before, the Random Forest from previous exercises and a Decision tree with balanced class weights.
  • Define the ensemble model by inputting the three classifiers with their respective labels.