Videolecture 5. Bagging and Random Forest

Videolecture 5. Bagging and Random Forest¶

1. The main ideas behind ensembles, bagging, and Random Forest.

2. Classification metrics.

3. A business case with a classification task – predicting customer payment.

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Topic 5. Ensembles and random forest. Part 3. Feature importance

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Assignment #5 (demo). Logistic Regression and Random Forest in the credit scoring problem