Construct · 1 fields · 1 citations

dataset shift: a standalone construct

One name. One construct. A landmark on the map.

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datasetshift1 CONSTRUCTDataset shiftMORENO-TORRES · MACHINE

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Machine learning

any change in the joint distribution of inputs and labels between training and test conditions, organized into covariate shift, prior probability shift and concept shift.

In machine learning, dataset shift refers to any change in the joint distribution of inputs and labels between training and test conditions, organized into covariate shift, prior probability shift and concept shift. This meaning comes from Moreno-Torres (2012) in Pattern Recognition.[1]

Unit
Recovery means
Measured by

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Nearby constructs

covariate shift1 fields · 1 citationsanchor · a standalone constructdistribution2 fields · 2 citationsjingle · one word, two constructsjoint2 fields · 2 citationsjingle · one word, two constructs

References

  1. Moreno-Torres, J. G., Raeder, T., Alaiz-Rodríguez, R., Chawla, N. V., & Herrera, F. (2012). A unifying view on dataset shift in classification. Pattern Recognition, 45(1), 521-530. https://doi.org/10.1016/j.patcog.2011.06.019

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