python machine learning tips how to use the bagging classifier ensemble with KNN LogisticRegression

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When using the BaggingClassifier or Regressor, you have the flexibility to choose from a wide range of base models, which are often referred to as "weak learners." The choice of base model depends on the characteristics of your dataset and the problem you're trying to solve. Here are some common base models that can be used with the BaggingClassifier:

Decision Trees: Decision trees are a popular choice as base models due to their simplicity and ability to capture complex relationships in data. Bagging with decision trees is the foundation of the Random Forest algorithm.

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