Random Forests DATA-SCIENCE-OPTIMIZE Practice Questions (Page 4)

Questions 16–20

1. 16foundation · easy

   Which strategy is most effective for reducing overfitting in a random forest?

   • AUsing a single decision tree instead of a forest
   • BRemoving the bootstrap sampling step
   • CLimiting the maximum depth of each tree
   • DIncreasing the number of features considered at each split
   Reveal Solution Discussion Select an answer first
2. 17foundation · easy

   What is a key limitation of random forests compared to a single decision tree?

   • AReduced interpretability
   • BPoor performance on non-linear data
   • CInability to handle missing values
   • DRequires feature scaling
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4. 18application · medium

   A data scientist is tuning a random forest and wants to reduce the correlation between trees to improve the ensemble's performance. Which hyperparameter is most directly responsible for controlling this?

   • AThe number of features to consider at each split (max_features).
   • BThe minimum samples per leaf (min_samples_leaf).
   • CThe maximum depth of each tree (max_depth).
   • DThe number of trees (n_estimators).
   Reveal Solution Discussion Select an answer first
5. 19application · medium

   A data scientist is building a random forest for a classification problem with many correlated features. The goal is to ensure the trees are as decorrelated as possible to improve the ensemble's robustness. Which mechanism directly achieves this?

   • AUsing a smaller bootstrap sample size.
   • BUsing all features at every split.
   • CRandomly selecting a subset of features to consider at each split.
   • DIncreasing the number of trees without changing feature selection.
   Reveal Solution Discussion Select an answer first
6. 20foundation · easy

   How does a random forest combine the predictions of its individual decision trees for a classification task?

   • ABy selecting the prediction that appears most frequently
   • BBy using a weighted vote based on tree accuracy
   • CBy averaging the predicted probabilities
   • DBy taking the prediction of the deepest tree
   Reveal Solution Discussion Select an answer first