The phrase "a coefficient of determination of" is correct and usable in written English.
It is typically used in statistical contexts to describe the proportion of variance in a dependent variable that can be explained by an independent variable in a regression model.
Example: "The study found a coefficient of determination of 0.85, indicating a strong relationship between the variables."
Alternatives: "a determination coefficient of" or "a R-squared value of".
A fair agreement was also obtained between the temperature values recorded by the thermocouples and those exported from the thermal images with a coefficient of determination of 0.94.
The agreement of the experimental and modelled concentration profiles is excellent as evidenced by a coefficient of determination of at least 0.965.
The statistical error analysis indicates that the model outperforms the other methods, with an average absolute relative error of 11.05% and a coefficient of determination of 0.829.
Results showed that a second-order model for the studied response was adequately fitted with a coefficient of determination of 98.7% (p < 0.0001).
The results have shown that ABC-MARS-based model was the best estimation of the pressure drop with a coefficient of determination of 0.78.
The results showed a 95% confidence temperature prediction, with a coefficient of determination of 0.9549 and 0.9590, for summer and winter, respectively.
The relationship of estimated versus observed skip length had a coefficient of determination of 0.97, which was confirmed by the value of the enhanced Wilmott concordance coefficient of 0.92, indicating good agreement.
It was found that the proposed LSSVM model had a very accurate prediction of thermal conductivity of CO2 with an average absolute relative error of 0.79% and a coefficient of determination of 0.999.
This network achieved a coefficient of determination of 99.894%, a root mean square error of 0.223 kWh/m2/day, a mean absolute error of 0.17 kWh/m2/day and a mean absolute percentage error of 2.56%.
It is shown that the best nonlinear MARS model containing second degree terms provides the best description of the examined data, demonstrating a coefficient of determination of over 99%.
The ML-platform with XGBoost displays excellent performance with a coefficient of determination of up to R2 ∼0.8 for pIC50 values in evaluation datasets, surpassing other metrics and approaches available in literature.
