Several machine learning techniques comparison for the prediction of the uniaxial compressive strength of carbonate rocks

HIGHLIGHTS

• who: Mohamed Yusuf Hassan from the DepartmentEmirates University have published the article: Several machine learning techniques comparison for the prediction of the uniaxial compressive strength of carbonate rocks, in the Journal: Scientific Reports Scientific Reports
• what: After the models are trained, the performances of the four models are compared using the results of the accuracy measures, coefficient of determination u00ad(R2), root mean square error (RMSE) and mean absolute Error (MAE) to determine the best model in predicting UCS. (9/10 proportion of the data is used to build the model, and the remaining 1 . . .
  

   

  

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