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Discover LudwigThe phrase "make good predictions" is grammatically correct and can be used in written English.
It is typically used to describe the act of accurately forecasting an event or outcome. Example: The weather forecasters were praised for their ability to make good predictions about the upcoming storm, which ultimately helped people prepare for potential damage.
Exact(18)
So how do you make good predictions?
But the computer does not make good predictions at dangerous angles, because it is difficult to conduct test flights to gather such data.
Successful technology innovation requires firms to make good predictions about product and service capabilities that consumers will value in the future.
For example, scientists don't know how much damage climate change will cause, and models can't make good predictions about where the damage will occur.
Decisions by the C.D.C. and state health departments to stop confirming most cases in laboratories "is making our life miserable," he said, adding, "If you don't have good data, you don't make good predictions".
However, we show that the memory of ESNs in this word-prediction task, although noisy, extends significantly beyond that of bigrams and trigrams, enabling ESNs to make good predictions of verb agreement at distances over which these methods operate at chance.
Similar(42)
They consistently made good predictions.
Making good predictions about the outcome of one's actions would seem to be essential in the context of survival, after all.
And if we can succeed with that, guided by theory, then we have a platform for making good predictions about how well a catalyst can accelerate a reaction we are interested in.
From time to time, Tegmark engagingly admits that such ideas sound like nonsense, but he makes the crucial point that if a theory makes good predictions you have to follow all of the consequences.
The lesson is that, even if the laws of physics and an experience on an AlterG may seem to prove the benefits of a lower weight, exercise science is nowhere near making good predictions for specific athletes, Dr. Tarnopolsky said.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com