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These four QSAR models showed that there were good linear relationships between the true values and predicted values for the group of the training set and the test set (Fig. 3).
However, the significant correlations, between the true values and predicted values for vessels belonging to the same types, show that learnt representations, capturing visual cues, are effective in attribute prediction.
Figures 4a and b also clearly demonstrate the relationship between the true values and the predicted values.
In the linear Lens Model Equation, the ecological predictability (R e ) was derived from the correlation between the true values (Y e ) and the predicted values Y ^ e of the ecological model.
Though estimated coefficients vary greatly, the empirical standard deviation of the estimates remained similar, approximately 0.07 or 0.08, with the smallest for the situation with no measurement error in the confounder and weak correlation between the true values of the confounder and exposure.
We generate additional dataset of 50 individuals, ynew and Xnew, and compute the phenotype prediction error as sum of squared differences between the true values ynew and predicted values ŷnew of the phenotypes, ∑ k (y k new − ŷnew)′ · (y k new − ŷnew), where.For both criteria for measuring performance, we show results averaged over 50 randomly generated datasets.
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In particular, the proposed FTCS is able to eliminate offset between the true value of the measured variable and the setpoint in the presence of sensor biases.
The Countrywide suit asserts that the company was defrauded of the difference between the true value of the homes and the inflated prices at which the loans were taken out.
In numerical analysis, round-off error is exemplified by the difference between the true value of the irrational number π and the value of rational expressions such as 22/7, 355/113, 3.14, or 3.14159.
It can be thought of as the difference between the "true value" of the asset and the likely price, less commissions.
In the future, we will employ multiple output SVR for considering the error between the true value and prediction value.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com