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Fig. 6 | BMC Bioinformatics

Fig. 6

From: A hierarchical opportunistic screening model for osteoporosis using machine learning applied to clinical data and CT images

Fig. 6

Decision boundary of LR based on Texture 5 and 2 (shown in a) as well as Texture 8 and 3 (shown in b). The gray and light blue area represent osteoporosis and normal individuals, respectively. Red and blue dots represent the samples labelled by osteoporosis and non-osteoporosis, respectively. Samples marked with yellow stars (such as dots marked with 1 and 2) represent the ones that are incorrectly classified by LR in five repeated experiments. All incorrectly classified samples are marked with yellow stars in (a), while only two are marked in (b)

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