Sentence examples for true error that from inspiring English sources

Exact(1)

More complex models are more likely to underestimate the true prediction error since they adapt to the noise (i.e. they model noise) in the data and underestimate the true error that way (manifestation of overfitting).

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This allows us to conclude that the original d ≥ 2 count may be trusted to account for elimination of the majority of the true errors that exist in the original d ≥ 1 estimate.

The leave-one-out method is known to be an almost unbiased estimation of the true generalization error; that is, the performance reported with the leave-one-out method is the most similar to the performance this system would show on an unseen test dataset of infinite length once it is trained on all available data (Vapnik, 1982).

Cognitive errors (Table 2) are the true "human errors" that cannot be blamed on the system, disease or patient himself; these relate to inadequate knowledge, faulty data-gathering, inaccurate clinical reasoning or faulty verification [22, 23].

Clinical outcomes were relatively rare over the course of this study so it remains possible that we have missed a true effect (type II error) that may have been present if follow-up were extended so as to capture more events.

Barrett warns against writing abstracts with the assumption that your hypotheses are true--a costly error that "has doomed many applications," she says.

Sponsored by the National Institute of Environmental Health Sciences, it takes advantage of the ongoing testing conducted by the U.S. National Toxicology Program (NTP) to estimate the true error of models that have been applied to make prospective predictions on previously untested, noncongeneric-chemical substances.

It also provides background about the origin and goals of the PTE project, outlines the special challenge associated with estimating the true error of models that aspire to predict open-system behavior, and summarizes what has been learned to date.

Berkson-like error that arises from smoothing the true exposure surface may inflate the SE of ^βx.

This reflects the error that can be expected in the model when true predictions of unknown variables are attempted.

We find, however, that the true error is actually much larger than that, and moreover, polls historically understate support for Democratic candidates.

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