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Every tree looks at diverse random elements of the data as well as their effects are combined by voting for classification or averaging for regression. This assists in improving precision and minimizing mistakes.Utilized once the output is often a "yes or no" variety reply. It helps in predicting categories like move/are unsuccessful or spam/not sp

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