Sentence examples for build a prediction model from inspiring English sources

The phrase "build a prediction model" is correct and usable in written English.
You can use it when discussing the creation or development of a model that forecasts outcomes based on data.
Example: "To improve our marketing strategy, we need to build a prediction model that analyzes customer behavior."
Alternatives: "create a forecasting model" or "develop a predictive model."

Exact(27)

A secondary aim is to build a prediction model predicting SF-6D and EQ-5D utilities from the LCRSF scale.

In order to build a prediction model that accurately predicts unknown samples, the calibration data set should contain samples that represent all the possible sources of variation encountered when the prediction model will be used on an unknown sample.

In this study, a robust variant of genetic programming, namely gene expression programming (GEP), is utilized to build a prediction model for the load capacity of castellated steel beams.

The existing variable selection methods may be precluded by full model advocates when we build a prediction model owing to their estimation bias and selection bias in right-censored time-to-event data.

Then CART is applied to build a prediction model which has 75% accuracy.

Chang and Chang (2006) used ANFIS to build a prediction model for water level forecasting and reservoir management.

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Similar(33)

We built a prediction model to identify formalized transformation programs, based on restructuring costs and major corporate announcements (as reported by Standard & Poor's Financial Services LLC).

As a response to this security complacency we built a prediction model to identify users who trust the app repository.

Based on these data, the application builds a prediction model for CCL quality by utilizing the process variables affecting the CCL quality as predictor variables.

One study built a prediction model combining APACHE II score, a Model for End-Stage Liver Disease score, mechanical ventilation and sex using logistic regression in ICU patients with end-stage liver disease [57].

In contrast, the proactive approach in [24] used a two phase approach, where phase one is offline and builds a prediction model using past job information and a k-medoid clustering and support vector machine.

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