Examples of using Regression model in English and their translations into Hungarian
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Colloquial
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Official
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Medicine
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Ecclesiastic
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Financial
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Programming
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Official/political
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Computer
When creating the regression model, it can be chosen from among various types of regression,
Based on the regression model, approximate values for numerical labels can be defined,
After creating the regression model, in order to be able to use it for classification, it has to
The regression model calculates salary values on the position level,
After the regression model has been built based on the training set,
The regression model will predict healthcare expenses within five years after the chest radiographs were taken,
In order to be able to classify records based on a regression model, its estimation have to be assigned to class labels.
Similarly, as we have seen, although the regression model applied(Subsection 9.2.2)
The regression model calculates salary values on the position level,
Corresponding to this, it can be evaluated how many records have been classified successfully based on the regression model.
the precision of a given classification that is created based on a regression model fitted to a given data set can be evaluated.
the precision of a given classification that is created based on a regression model fitted to a given data set can be evaluated.
Using the regression model created on the training set for the validation dataset the above results show that a model can be built with relatively high accuracy for multiple discrete target variable value by the Regression operator.
test sets, and the regression model created using the training set is to be applied to the test set.
e- commerce capabilities was obvious, this effect could not be demonstrated here with a similarly structured regression model.
In this case, as the regression model has to be placed into an operator that implements regression-based classification,
I will try to explore in depth the nature of the relationship by means of more complex multivariate analytical techniques Regression model Each of the studies[Zhu Kraemer, 2002; Zhu, 2004; Merono-Cerdan Soto- Acosta,
fixed non-inferiority margin of 4% at Day 28 of Cycle 1. d Estimates were obtained from a Cox proportional hazards regression model. e P-value determined using a log-rank test.
at the same time makes it more difficult for companies to convert the advantages obtained into profits Regression model I used the linear regression model presented before to examine the effect of the business model,
Survival models may be viewed as normal regression models where the response variable is time.