Construct · 2 fields · 2 citations

Where does split collide?

One name. Different field. Different construct. One map.

● jingle · one word, two constructs Nearest construct by meaning·not indexed
split2 CONSTRUCTSTrain–test splitTRAIN / TEST SETSStock splitSHARE SUBDIVISION

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2026

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Machine learning

Data partitioned into training and test sets

In statistical learning, a split is the partition of a dataset into separate portions (typically training, validation, and test sets) so that a model is fitted on one part and its performance estimated honestly on data it never saw, guarding against overfitting. Hastie, Tibshirani, and Friedman's The elements of statistical learning treats such data splitting and cross-validation as the basis for assessing generalisation error. The referent is a division of observations for model assessment, measured by the sizes and composition of the partitions, and it is unrelated to a layer of hide or a corporate share action.[1]

Unit
The proportion of observations assigned to each partition
Recovery means
Not applicable
Measured by
Described by the train/validation/test fractions and resampling scheme (e.g. k-fold cross-validation)

Corporate finance

Shares subdivided, price cut proportionally

In corporate finance, a (stock) split is a company's subdivision of its existing shares into a larger number of lower-priced shares, so that an owner of one share at a high price ends up with several shares whose prices sum to roughly the same value, leaving total equity unchanged. Hull's Options, futures, and other derivatives explains how such splits are handled, including the proportional adjustment of option contracts to keep positions economically neutral. The referent is an accounting and market action on a firm's share structure, measured by the split ratio, and it shares only its name with a hide layer or a data partition.[2]

Unit
The split ratio (new shares per old share) and the adjusted share price
Recovery means
Not applicable
Measured by
Characterised by the split ratio and the proportional change in share price and share count

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Nearby collisions

tanning2 fields · 2 citationsjingle · one word, two constructslayer3 fields · 5 citationsjingle · one word, three constructspartition3 fields · 3 citationsjingle · one word, three constructs

References

  1. Hastie, T., Tibshirani, R., & Friedman, J. (2009). The elements of statistical learning: Data mining, inference, and prediction (2nd ed.). Springer. ISBN 9780387848570
  2. Hull, J. C. (2017). Options, futures, and other derivatives (10th ed.). Pearson. ISBN 9780134472089

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