What are hyperparameters in the context of decision trees?
Practical Data Science using Python - Decision Tree - Model Optimization using Grid Search Cross Validation

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1.
OPEN ENDED QUESTION
3 mins • 1 pt
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2.
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3 mins • 1 pt
Explain the purpose of the 'Max features' hyperparameter.
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3.
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3 mins • 1 pt
What does the 'Max depth' parameter control in a decision tree?
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4.
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Describe the function of 'min samples split' in decision tree pruning.
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5.
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How does 'Grid search CV' help in optimizing hyperparameters?
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6.
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3 mins • 1 pt
What is the significance of 'K Fold cross validation' in model training?
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7.
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Explain how the results of the grid search CV can be interpreted.
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