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Fig. 5 | BMC Medical Informatics and Decision Making

Fig. 5

From: Identification of relevant features using SEQENS to improve supervised machine learning models predicting AML treatment outcome

Fig. 5

Synopsis of the SEQENS components. (a) The dataset is comprised of observations \({O_i}\) (rows) and variables or features \({F_j}\) (columns). (b) Observations are divided into a train set and a test set. (c) Each partition is sent to multiple sequential feature selectors. Each selector outputs a scored subset of selected variables. (d) Low-scored subsets are discarded. (e) The result is aggregated from the selected subsets. (f) The output is a list of features ranked by relevance

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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