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The predicted chlorophyll content was compared to chlorophyll levels physically measured, and the root mean square error (RMSE) of the predictions was calculated.
Accordingly, the Accuracy of mitochondrial or lysosomal percent mass distribution predictions was calculated relative to the observed staining patterns, based on the following equation: Accuracy = # correctly classified / # correctly classified + # incorrectly classified (1).
The percentage of the data set where a SoM is identified in the top two (top-2%) and top three (top-3%) predictions was calculated to allow comparisons to other SoM identification methods.
The distribution of these predictions was calculated to be a normal distribution.
A theoretical percentage of correct predictions was calculated with the KCCA results (Table 1).
The accuracy of genomic predictions was calculated as the correlation between the GBV g ^ and the phenotypic scores in the application population.
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Predictions were calculated from the training set, and the accuracy of predicting the mean progeny phenotype was assessed using sons in the testing set.
If w=1.0, no predictions are calculated (lines 5 6).
These predictions were calculated for all models in the model library.
Scour predictions were calculated in post-processing using the results of HEC-RAS simulations.
Reliabilities of DGV predictions were calculated deterministically using selection index theory.
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CEO of Professional Science Editing for Scientists @ prosciediting.com