Titlebook: Applied Statistical Learning; With Case Studies in Matthias Schonlau Textbook 2023 The Editor(s) (if applicable) and The Author(s), under e

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https://doi.org/10.1007/978-3-031-52656-5removal of stopwords, and employing thresholds reduce the number of variables somewhat. A case study categorizes answers from an open-ended survey question (in German) about respondents’ beliefs about immigrants.

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Environmentally-Friendly Product Developmentd form an out-of-bag sample. For a given tree, the out-of-bag sample can be used as validation sample, giving the algorithm the unique ability to tune parameters without a separate validation sample. This is particularly useful when the training data available are limited. A case study predicts math achievement of Portuguese high school students.

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Environmentally Sustainable Productionng a parameter gives rise to a U-shaped error curve. This echoes the earlier discussion in Chap. . related to U-shaped and bias-variance tradeoff. In addition, we also discuss different evaluation criteria, one-hot encoding, variable scaling and reproducibility.

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Environmentally-Friendly Product Developmentobservations appear more sparse in higher dimensions. The so-called kernel trick makes expanding the x-space computationally efficient. Support vector classification can be adapted to work for multi-class and regression problems. A case study predicts the popularity of online news.

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Statistical Learning: Practical Aspects,ng a parameter gives rise to a U-shaped error curve. This echoes the earlier discussion in Chap. . related to U-shaped and bias-variance tradeoff. In addition, we also discuss different evaluation criteria, one-hot encoding, variable scaling and reproducibility.