What's more, significantly
improved predictive power from a mixture of classroom observations with test score gains could have made the case for why we need both.
Using the same data a logit regression model
improves the predictive power of local elections to tell us who will win the most votes at the next general election, making correct predictions 86.21 % of the time.
However using fairly straightforward statistical techniques it is possible to
improve the predictive power of local elections quite substantially (the statistically minded reader can find the data and methodology here).
This special section of Science focuses on the current state of knowledge about the effects of climate change on natural systems, with particular emphasis on how knowledge of the past is helping us to understand potential biological impacts and
improve predictive power.
In order to
improve the predictive power of climate models, it is now crucial to understand the biological processes in the soil better, say the scientists.
«Such particles will thus help
us improve the predictive power of our theories.»
At least in theory, these protocols could be refined over time to
improve their predictive power and diagnostic value.
In the latter case, anything that helps to
improve the predictive power of the scientific ENSO analysis would be even more important than it is already today.
Not exact matches
The team checks these
power forecasts against what actually materializes, and machine learning then
improves the
predictive models.
Over the next five years Filoche and Mayboroda brought in additional collaborators and
improved the landscape function's
predictive power.
«
Improved model of energy highway along protein strands: Lessons from self - trapped electrons in crystal lattice offer better
predictive power for transport model.»
• The formula is an example of the
power of
predictive analytics, and the advantages such methods hold for
improving and assessing managerial decisions in a multitude of organizations.
Jiacan Yuan is a climatologist who is interested in understanding the fundamental dynamical processes in the atmosphere and
improving climate models, which could give us better
predictive power and risk assessment of the changing climate.
Furthermore, as the Teach Plus Fellows explain, these additional data can be used to «examine whether certain factors have
predictive power» for
improving student achievement.
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Carrying through this numerical calculation will substantially
improve your appreciation of the
predictive power and generality of the Zeroth Law, Doug Cotton / PSI members / Climate Etc readers!
Jiacan Yuan is a climatologist who is interested in understanding the fundamental dynamical processes in the atmosphere and
improving climate models, which could give us better
predictive power and risk assessment of the changing climate.