That is the “forest” half. The other half, the “random,” says that when training you don’t give each tree all the training data; you randomly hold back some rows, or hold back some columns. This makes each individual tree a bit dumber than if it had seen all the data. But when their results are averaged together the whole is more intelligent than any one part.
Random Forest definition
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