An ensemble learning method called random forests makes predictions using decision trees. Random forests can be used to evaluate high-dimensional genomic data in the context of genomic prediction. a large number of decision trees are constructed,…
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What is the role of
In Bayesian statistics, Monte Carlo methods are essential, and have important implications for machine learning applications. generating random samples from probability distributions for complex estimates such as intercepts or posterior distributions. The Monte Carlo Method…