Sentence examples for able to successfully predict from inspiring English sources

The phrase "able to successfully predict" is correct and usable in written English.
You can use it when discussing the capability of a model, method, or individual to make accurate forecasts or estimations.
Example: "The new algorithm is able to successfully predict market trends based on historical data."
Alternatives: "capable of accurately forecasting" or "able to effectively anticipate".

Exact(30)

We were able to successfully predict which specimens would give rise to prediction errors, and which would not.

Both scales also demonstrated predictive validity as they were able to successfully predict satisfaction with communication from healthcare professionals [ 30].

Then, we present and validate models that are able to successfully predict the future presence of symptoms by analyzing the mobility patterns of our individuals.

By using computer simulations to estimate the velocity gradients in the flow field, it is shown that the proposed criterion is able to successfully predict the observed morphology.

The resulting model was able to successfully predict both the water and hydrochloric acid extraction by undiluted TBP or TBP diluted in aliphatic solvent within this concentration range.

It was found that the fatigue damage model was able to successfully predict the fatigue life and the evolving back-face strain and hence the evolving damage.

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Similar(29)

Moreover, it is not clear whether your method will be able to use the features to successfully predict the domains using data that was not used for training.

Finally, Yizhak, Gaude et al. generated detailed metabolic profiles of cancer cells taken from over 700 breast and lung cancer patients and were able to use the models to successfully predict the outcome of the diseases in these patients.

The model is able to explain the differences in the data reported in the existing literature and to successfully predict the complex dependence of power consumption on the fluid properties and the system geometry.

For example, the startup successfully used their near-real-time tool, called Twitris, to successfully predict the Brexit vote hours earlier than traditional polling companies.

Notably, in nearly all the remaining regions, we were able to successfully use the activity patterns to predict the action performed (grasping vs reaching) for both the hand and tool effector.

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