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Fig. 2 | BMC Medical Informatics and Decision Making

Fig. 2

From: Can some algorithms of machine learning identify osteoporosis patients after training and testing some clinical information about patients?

Fig. 2

Relationship between model coefficients and lambda (As shown in the figure, as lambda increases, the coefficients of certain features gradually become 0, while some feature coefficients remain unchanged; features with nonzero coefficients contributed to the diagnosis of osteoporosis in this study; this allows for the selection of features that are effective for prediction; the optimal lambda value in the figure is indicated by the dashed line at the intersection of the feature curve, which is 0.08.)

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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