Question: Suppose, you are working on a binary classification problem with 3 input features (X1, X2 and X3). Moreover, you chose to apply a random forest

Suppose, you are working on a binary classification problem with 3 input features (X1, X2 and X3). Moreover, you chose to apply a random forest algorithm on this data. If you are using 3 decision trees in the random forest algorithm, and if each of the decision trees has an accuracy of 70%, then

What will be the maximum possible accuracy value for the random forest algorithm?

Can the minimum accuracy fall below 70%?

please explain and show any work

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