Sentence examples for a model fitted from inspiring English sources

Suggestions(1)

The phrase "a model fitted" is correct and usable in written English.
It can be used in contexts related to statistics, data analysis, or machine learning when discussing the process of applying a model to data.
Example: "After analyzing the data, we found that a model fitted to the training set provided the best predictions."
Alternatives: "a fitted model" or "a model applied".

Exact(38)

AUCs were either obtained from a single trough concentration-fitted model or derived from a model fitted by 2 concentration points.

In the results reported here, all fitting and classifications were conducted using a model fitted to log-transformed data, to avoid assigning positive probabilities to speeds of less than zero, but the model is presented below on untransformed data for clarity.

Another evaluation of model fitness is the cross-validation (CV) method [ 46]: it measures the predictive power of a model fitted to a first, randomly drawn, part of the dataset, when applied to the remaining (set aside) part of the data.

This could cause a loss of propulsion or, for a model fitted with an automatic transmission, cause a roll-away even when the gear selector was in Park.

A possible reason may be that basal angiosperms are highly variable for phyllotaxis compared to the rest of angiosperms14, and a model fitted to the partition takes the local heterogeneity better into account.

However, our results suggest that a model fitted based on movement data from a single year may not be representative for the overall dispersal rates due to temporal variation in dispersal.

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Similar(22)

To plot contours of a model, fit, fit residuals, data-to-model ratio, or PSF, use the contour function.

Sherpa includes several different fit statistics that can be used to evaluate how well a model fits a data set.

PRESS values are indications of how closely a model fits the calibration data.

Such a model fits a linear model on the logistic transformation of the prevalence.

Briefly, AIC is a measure of how well a model fits the data.

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