Optimal classification trees
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DOI: 10.1007/s10994-017-5633-9
Abstract: State-of-the-art decision tree methods apply heuristics recursively to create each split in isolation, which may not capture well the underlying characteristics of the dataset. The optimal decision tree problem attempts to resolve this by creating… read more here.
Keywords: decision; classification trees; optimal classification; decision tree ... See more keywords
Visually guided classification trees for analyzing chronic patients
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DOI: 10.1186/s12859-020-3359-3
Abstract: Background Chronic diseases are becoming more widespread each year in developed countries, mainly due to increasing life expectancy. Among them, diabetes mellitus (DM) and essential hypertension (EH) are two of the most prevalent ones. Furthermore,… read more here.
Keywords: classification trees; classification; visually guided; trees analyzing ... See more keywords
Mood Disorder Detection in Adolescents by Classification Trees, Random Forests and XGBoost in Presence of Missing Data
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DOI: 10.3390/e23091210
Abstract: We apply tree-based classification algorithms, namely the classification trees, with the use of the rpart algorithm, random forests and XGBoost methods to detect mood disorder in a group of 2508 lower secondary school students. The… read more here.
Keywords: mood disorder; mood; missing data; classification trees ... See more keywords