Sentence examples for able to predict successfully from inspiring English sources

The phrase "able to predict successfully" is correct and usable in written English.
You can use it when discussing the capability of someone or something to make accurate predictions in various contexts, such as science, finance, or technology.
Example: "The new algorithm is able to predict successfully the stock market trends based on historical data."
Alternatives: "capable of accurate predictions" or "able to forecast effectively."

Exact(3)

An accurate and reliable QSAR model involving five descriptors that is able to predict successfully the HCV inhibitory potency against genotype 1 HCV polymerase is presented.

The model is able to predict successfully the effects of hole size and lay-up upon the compressive strength and has been incorporated into a user-friendly computer program.

MMF was reported to be able to predict successfully both the initial and final failures for all the 12 specified test cases (Kaddour and Hinton 2012).

Similar(57)

The signature with the most robust predictive ability was BRmet50, as it was able to predict prognosis successfully in 23 out of 31 breast cancer datasets (74%) [ 32].

PMID20813035Sig137 was able to predict prognosis successfully in 56% (five out of nine) of ER- datasets (Table  4) while BRmet50 and PMID18271932Sig33 were able to predict prognosis successfully in 11%.

Being able to predict this successfully would bring great benefit, because this would potentially spare many patients from acute and delayed drug-induced toxicities, and avoid the useless spending of public and private healthcare resources.

It is, self-evidently, not very difficult to predict successfully the non-occurrence of a rare event!

ENCAPP was able to predict prognostic outcome successfully for both colon and ovarian cancer (median AUCs = 0.666 and 0.766 respectively; 95% CIs for AUC = 0.658-0.674 and 0.760-0.771 resPectively; P = 0.001 and 0.097 respectively; Additional file 1: Table S1) confirming that it works robustly across different cancers.

These valuations showed that the presented model is successfully able to predict both MFC and MEC performance.

The results indicated that all the proposed models are successfully able to predict the ERAC in close agreement with the experimental results.

Using the model, we were successfully able to predict how Stat3 activation is modulated by three micro-fabrication parameters: colony size, colony separation, and degree of clustering.

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