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prediction capability of developed model vs capability of developed model

Both phrases are correct, but they convey slightly different meanings. 'Prediction capability of developed model' specifically refers to the ability of the model to make predictions, while 'capability of developed model' is more general and could encompass various abilities of the model beyond just prediction.

Last updated: March 17, 2024 • 486 views

prediction capability of developed model

This phrase is correct and commonly used in the context of evaluating the ability of a model to make predictions.

This phrase is used when discussing the specific ability of a developed model to make accurate predictions based on the data it has been trained on.
  • Feb 10, 2012 ... data as test set. If it is not possible the prediction capability of developed model cannot be evaluated and it will be applicable for the entire data ...
  • 6 where the predicted value and actual value are in agreement with each other and proves the prediction capability of developed model. 4. Conclusions A ...

Alternatives:

  • predictive ability of the developed model
  • model's prediction capability

capability of developed model

This phrase is correct and more general, referring to the overall abilities of a developed model beyond just prediction.

This phrase can be used when discussing the various abilities and features of a developed model, not limited to prediction alone.
  • Feb 14, 2014 ... Fig. 3 plots the results of MODEL II. The generalization capability of developed MODEL II has been examined by the global datasets [16].
  • Sep 1, 2010 ... Comparisons of different sets of results represent the capability of developed model to predict the oil slick transport. In addition, the developed ...
  • Comparisons of different sets of results represent the capability of developed model to predict the oil slick transport. In addition, the developed model is tested for ...
  • 6 where the predicted value and actual value are in agreement with each other and proves the prediction capability of developed model. 4. Conclusions A ...

Alternatives:

  • model's capabilities
  • functionality of the developed model

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