Extended Data Fig. 1: Penalized logistic regression performance. | Nature Immunology

Extended Data Fig. 1: Penalized logistic regression performance.

From: Large-scale phenotyping of patients with long COVID post-hospitalization reveals mechanistic subtypes of disease

Extended Data Fig. 1

Graphs show classification error and Area under curve (AUC) from the 50 repeats tenfold nested cross-validation used to optimise and assess the performance of PLR testing associations with each LC outcome relative to Recovered (n = 233): Cardio_Resp (n = 398), Fatigue (n = 384), Anxiety/Depression (n = 202), GI (n = 132), (e) Cognitive (n = 6). The distributions of classification error and area under curve (AUC) from the nested cross-validation are shown. Box plot centre line represents the Median and boundaries of the box represent interquartile range (IQR), the whisker length represent 1.5xIQR.

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