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In what ways can the concept of entropy be applied to a matrix of predictions, and how is it used in this context?
Entropy is a measure of uncertainty or randomness in a system. In the context of a prediction matrix, entropy can be used to evaluate the quality of the predictions made by the matrix. Here are some methods for utilizing entropy with a prediction matrix:
Running random forest algorithm with one variable