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Out-of-bag (OOB) error, also called out-of-bag estimate, ... Download QR code; Edit interlanguage links; Expand all; Print/export Download as PDF; Printable version;
Pseudo-code algorithm: Input: x, {vector of length N with x-values of incoming points} y, {vector of length N with y-values of the expected result} interpolate( x_in, y_in, x_out ), { returns the estimation for point x_out after the model is trained with x_in-y_in pairs} Output: err, {estimate for the prediction error} Steps:
Creating the bootstrap and out-of-bag datasets is crucial since it is used to test the accuracy of a random forest algorithm. For example, a model that produces 50 trees using the bootstrap/out-of-bag datasets will have a better accuracy than if it produced 10 trees.
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SOURCE: Integrated Postsecondary Education Data System, University of Southern Mississippi (2014, 2013, 2012, 2011, 2010).Read our methodology here.. HuffPost and The Chronicle examined 201 public D-I schools from 2010-2014.
If you’re stuck on today’s Wordle answer, we’re here to help—but beware of spoilers for Wordle 1264 ahead. Let's start with a few hints.
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