Titlebook: Applied Data Science in Tourism; Interdisciplinary Ap Roman Egger Textbook 2022 The Editor(s) (if applicable) and The Author(s), under excl

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Machine Learning in Tourism: A Brief Overviewg recently undergone rapid developments and being applied to a wide array of tasks, both in practice as well as in science. Nevertheless, ML approaches still seem to be the exception rather than the rule in tourism literature, most likely due to a sense of hesitation towards understanding and engagi

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Hyperparameter Tuningsful” model into a solid business solution by finding the right combination of input values. In this chapter, the theoretical foundations behind different traditional approaches to optimizing hyperparameters, such as Manual Search, Grid Search, and Random Search, will be laid out in addition to outl

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Model Evaluationvaluation scores that reflect the model‘s quality. Evaluation scores differ for classification and regression. The former commonly uses area under the ROC curve and F1 scores, while the latter uses the mean average error and the mean squared error. In both cases, evaluation requires the use of k-fol