Sentence examples for model which classified from inspiring English sources

Exact(5)

Then they fed the data into their own model, which classified users by their apparent sexuality.

The present methodology was based on a QSAR discriminant model which classified correctly more than 90% of insecticides and inactive compounds in both, training and prediction series.

In a model which classified migrants who cited both family and work as motives for migration as labour migrants, the positive effect is even stronger.

The following variables entered the final regression model, which classified 82.93% of the cases correctly: progesterone score (B=-0.3295; p = 0.0283) and Ki67 score (B = 0.7184; p = 0.0055).

An exception to this is the SOF model which classified the majority as frail, possibly related to the large proportion (78%) of people who could not rise from a chair unaided none of the other frailty scales used this item.

Similar(55)

The appropriate visualization is predicted based on an artificial neural network (ANN -based model which clANN -basedhe input data into one of the eight predefined classes.

With the aim of providing a scientific methodology for studies of services, the value-creation model, which classifies service models in three classes on the basis of the relationships among service providers, was proposed in the 2000s.

This analysis uses my City Sector Model, which classifies small areas (ZIP codes, or more formally, ZIP Code Tabulation Areas, or ZCTAs) in metropolitan area using employment densities, population densities and commute modes (Figure 1).

Uber has long faced criticism for its business model, which classifies drivers as independent contractors rather than employees, allowing the company to avoid paying them minimum wage or benefits.

Thus, one would expect that the calibration of a model, which classifies individuals into specific risk bands, would decline.

The most frequently used model for identifying factors associated with service use is Andersen's behavioural model which classifies predictors of service use into three categories: predisposing, enabling, and needs-related factors [ 9].

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