Which of the given hyper parameter(s), when increased may cause random forest to over fit the data
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The hyper parameter when increased may cause random forest to over fit the data is the Depth of a tree.
Over fitting occurs only when the depth of the tree is increased.
In a random forest the rate of learning is generally not an hyper parameter.
Under fitting can also be caused due to increase in the number of trees.
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