Sentence examples for make correct predictions from inspiring English sources

We expected that children of all ages would find it easier to make correct predictions in the Earth context than in the other two contexts.

But I've been struck these past several years by just how much power good economics has to make correct predictions that are very much at odds with popular prejudices and "common sense".

However, the prediction accuracy for these problems is limited by our ability to feature engineer the materials representation to incorporate all the domain knowledge required to make correct predictions.

The results show the model is capable of understanding local context cues to make correct predictions without manual feature engineering and performs as accurately as state-of-the-art conditional random field models in a number of categories.

Tested on 429 of the most significant functional variants causing the largest changes of gene expression in the GTEx dataset55 (eSNVs), even the best-performing method failed to make correct predictions in 77% of the cases (Fig. 5a, Supplementary Table 2).

SVM classification method learns from a training dataset and attempts to generalize and make correct predictions on novel data.

When Einstein found that his general theory made correct predictions for the shift in Mercury's orbit, he felt so thrilled he had palpitations, "as if something had snapped inside.

Marcus has earned a reputation for making correct predictions, according to the BBC, having previously prophesied the result of the 2014 World Cup, the Wimbledon tennis men's finals, the Brexit vote and Donald Trump's shock US election victory in 2016.

I continue to be impressed by the unwillingness of many people to admit that maybe basic Keynesian analysis has something to it, even after three years when this analysis has repeatedly made correct predictions in extreme conditions — while other approaches have failed dismally, and cost those who believed in them lots of money.

The C-Typing Thesis is plausible not only because it makes correct predictions, but also because it does so in a way that responds to a common charge against reliabilism: that reliability is disconnected from our lives as epistemic inquirers.

We could never know that the algorithm made correct predictions until after they had come true, so they would hardly have the epistemic status that a reliable prediction should have for us, namely, to guide our future expectations.