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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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41#
發(fā)表于 2025-3-28 17:11:19 | 只看該作者
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.
42#
發(fā)表于 2025-3-28 22:46:46 | 只看該作者
43#
發(fā)表于 2025-3-29 01:43:39 | 只看該作者
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.
44#
發(fā)表于 2025-3-29 03:49:05 | 只看該作者
45#
發(fā)表于 2025-3-29 08:30:00 | 只看該作者
46#
發(fā)表于 2025-3-29 13:17:17 | 只看該作者
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.
47#
發(fā)表于 2025-3-29 18:55:27 | 只看該作者
48#
發(fā)表于 2025-3-29 23:33:15 | 只看該作者
49#
發(fā)表于 2025-3-30 02:25:26 | 只看該作者
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.
50#
發(fā)表于 2025-3-30 04:38:33 | 只看該作者
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.
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