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The bootstrap dataset is made by randomly picking objects from the original dataset. Also, it must be the same size as the original dataset. However, the difference is that the bootstrap dataset can have duplicate objects. Here is a simple example to demonstrate how it works along with the illustration below:
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Bootstrapping is any test or metric that uses random sampling with replacement (e.g. mimicking the sampling process), and falls under the broader class of resampling methods. Bootstrapping assigns measures of accuracy ( bias, variance, confidence intervals, prediction error, etc.) to sample estimates.
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Bootstrapping (compilers) In computer science, bootstrapping is the technique for producing a self-compiling compiler – that is, a compiler (or assembler) written in the source programming language that it intends to compile. An initial core version of the compiler (the bootstrap compiler) is generated in a different language (which could be ...
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Adobe Dreamweaver is a proprietary web development tool from Adobe. It was created by Macromedia in 1997 [1] and developed by them until Macromedia was acquired by Adobe Systems in 2005. [3] Adobe Dreamweaver is available for the macOS and Windows operating systems . Following Adobe's acquisition of the Macromedia product suite, releases of ...