Examples of 'predict outcomes' in a sentence
Meaning of "predict outcomes"
predict outcomes: This phrase refers to the act of forecasting or foreseeing the results or consequences of a particular situation or event based on available information or analysis
How to use "predict outcomes" in a sentence
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predict outcomes
You can not always predict outcomes.
Inability to predict outcomes or understand consequences.
In a complex world it is not possible to predict outcomes.
It is hard to predict outcomes these days.
Predictive modeling leverages statistics to predict outcomes.
Predict outcomes so your users can make decisions with confidence.
They have stopped trying to predict outcomes.
We can not predict outcomes very well except when problems are severe.
Using machine learning to predict outcomes in tax law.
We may automatically Process your personal information to evaluate personal aspects and predict outcomes.
There is no way to predict outcomes.
Qualitative Forecasting Uses the judgement and opinions of knowledgeable individuals to predict outcomes.
Data science is how you predict outcomes before they happen.
Predictive modeling uses statistics in order to predict outcomes.
The company is also developing a system to predict outcomes for tennis matches and basketball games.
See also
Predictive modeling uses the principles of statistics to predict outcomes.
Categorical and numeric data can be used to predict outcomes and reveal relationships graphically.
Even the most sophisticated analysts have struggled to predict outcomes.
Research may predict outcomes for newborns with rare disease →.
Applying modeling techniques to predict outcomes.
In medicine, we predict outcomes largely based on precedent because diseases tend to be unoriginal ;.
Clinical prediction rules have been developed to more objectively predict outcomes of pneumonia.
Inability to predict outcomes ( as a result of their own or others ' actions ).
Supervised learning is based on the system trying to predict outcomes for known samples.
Secondly, why try to predict outcomes and who will use this information?
Cardiac sympathetic abnormalities have been shown to predict outcomes in HF.
Inability to predict outcomes ( of their or other 's actions ).
How AI may be used to predict outcomes.
GIZ is a variant of GLM which uses Bayesian hypothesis testing to predict outcomes.
Machine learning algorithms, in a sense, predict outcomes using previously established values.
Randomness in gambling means that it's impossible for gamblers to control or accurately predict outcomes.
Currently, there are two projects designed to predict outcomes of childhood arthritis.
This method uses a superposition of multiple linear regressions, along with a switching algorithm, to predict outcomes.
Once training is completed, the network can predict outcomes for new data inputs.
Relatively sparse data exist, however, on current cohorts and the factors that predict outcomes.
Those leading indicators will predict outcomes ( lagging indicators ).
However, the GCS grading system has limited ability to predict outcomes.
With enough training, AI can predict outcomes.
Second, child 's temperament and parenting also interact to predict outcomes.
For now, it is hard to predict outcomes.
Situation 3, You understand your causal model but can not predict outcomes.
It uses 50 separate data dimensions to predict outcomes.
When you really, truly know something, you can predict outcomes.
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Examples of using Outcomes
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Examples of outcomes and indicators to be tracked include
Punnett squares to predict possible genetic outcomes
Outcomes of key regional dialogues on sustainable development
Examples of using Predict
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I predict good things for your future
Punnett squares to predict possible genetic outcomes
Predict the chances of a random terrorist attack
