Examples of using Predictive model in English and their translations into Slovenian
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Created predictive models.
Predictive model could help guide choices for breast cancer therapies.
Created predictive models.
Hopefully we can argue about any mistakes you made in your predictive model in the future!
Embedding predictive models and results in SAP S/4HANA applications.
Development and programming of the predictive model: Jure Demšar.
In this predictive model, we are focusing on predicting the price of the products in the course of time.
We have developed a printing platform and a predictive model for others to use.
In the new predictive model, scenarios are considered where three or more players are engaged.
Based on the data about employeefluctuation you would be able to create a predictive model that will help you identify people who might quit soon.
Thus, we designed a predictive model that was integrated into our data managing platform iPROM DMP.
As part of the optimisation of electricity production from renewable sources,it is sensible to make a predictive model of production(solar energy, wind, water).
Data integration, which forms the basis of predictive models, is also hindered by the already mentioned organizational silos.
Large enterprises in many cases use both systems,Jaspersoft® for standard reporting and Spotfire® for visual data exploaration, predictive models and self service analytics.
Statistical Predictive Modelling.
This new predictive model takes into consideration that there can be three or more players, a truel, which stands in contrast to a range of results for sequential-engagement scenarios,” said Niall MacKay.
Developing descriptive and predictive models and theories of interaction.
The predictive model was then integrated into the iPROM DMP platform, pragmatically used to target the target group of the advertising campaign of the group Atlantic Grupa for the Argeta trademark.
For example, a researcher with a millionhuman classified galaxies can build a predictive model that can then be used to classify a billion or even a trillion galaxies.
Identifying the most beneficial distortions, which amount to less than one percent of all the possible distortions that could be produced inside KSTAR,would have been virtually impossible without the predictive model developed by the research team.
They estimated that the predictive model that won the open call would improve the productivity of restaurant inspectors by about 50%.
Promoting technologies such as characterisation, non-destructive evaluation and predictive modelling of performance for progress in materials science and engineering.
In amplified asking, a researcher uses a predictive model to combine a small amount of survey data with a big data source in order to produce estimates at a scale or granularity that would not be possible with either data source individually.
For example, a researcher with a million human classified galaxies can build a predictive model that can then be used to classify a billion or even a trillion galaxies.
Amplified asking using a predictive model to combine survey data from a few people with a big data source from many people.
They estimated that the predictive model that won the open call would improve the productivity of restaurant inspectors by about 50%.
Glaeser and colleagues estimate that the predictive model that won the open call would improve the productivity of restaurant inspectors by about 50%.
However, one major concern with predictive models being used to allocate resources is that themodels have the potential to reinforce existing biases.
Increasingly often, data mining has to learn predictive models from big data, which may have many examples or many input/output dimensions and may be streaming at very high rates.