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We expect prediction to become reality, and a reader might ordinarily be forgiven for suppressing a yawn behind a hand (or a fan).
We would generally expect prediction accuracies to increase as training population size increases, as has been noted for both theoretical [ 30] and real datasets [ 39].
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For instance we expect predictions in the form of: "This compound is active because it contains this moiety (structural hypothesis) but the confidence is low owing to a high logP value (physico-chemical hypothesis).
As one would expect, predictions where neither the protein nor the compound are in the training set (iii) are weakest, but even then reliable predictions are possible.
When no measurements of air quality are available, we can expect predictions by a simple distance-decay model to have poor agreement with true air quality (M2).
On average we correctly predicted SMP response with 69% accuracy, but, as expected, prediction accuracy was good (75%) when a strong linkage signal was present (lod ≥4) and poor (55%) otherwise.
EBay issued a better than expected prediction for the current quarter, which propelled its shares up nearly 7 percent to $26.23 in after-hours trading Wednesday.
Further, we note that these are in-sample errors rather than expected prediction errors estimated by out-of-sample forecasting.
The cut-off value of the partial correlation coefficient provides an indication of the expected prediction error.
This novel sampling approach sequentially selects new points by maximizing an expected prediction error criterion that considers both the bias and variance information.
In other words, if the selected codewords are used to train the regression model, the expected prediction error can be minimized.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com