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The expected squared deviation of a random variable from its mean; or, the average squared deviation of data about their mean.
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Why does the correlation between decision trees have to be positive?
In the book "Elements of statistical learning" we have that the variance of a the random forest is given by
$V(\frac{1}{n} \sum X_i)= \rho \sigma^2+ \frac{1-\rho}{n}\sigma^2$
where $\rho$ is the pairwise … correlation between all $n$ trees which all have variance $\sigma^2$. …
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Why do we say that the model has a high variance when variance is actually the measure of sp...
The other answers makes a great illustration, thus I want to answer your "... when variance is not a model's property." … But, since a model is used to produce data, when we talk about a "model having big variance" we actually, losely speaking, mean that "the data the model produces have a high variance". …