Question: Random Forest - Hyperparameter max _ features The hyperparameter, max _ features, specifies the maximum number of features considered at each node's split. For example,

Random Forest - Hyperparameter max_features
The hyperparameter, max_features, specifies the maximum number of features considered at each node's split. For example, if the data set contains 25 features and you specify max_features =4, then at each split (in the component trees), only a maximum of four randomly chosen features will be considered.
According to you, how would the ensemble performance vary as you gradually increase the value of max_features? Compare your guess with that of your batchmates.

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