Your English writing platform
Discover LudwigSuggestions(1)
Exact(6)
To visualise connections between data sets prediction networks were created.
For our experimental data, we found that using time bins with widths between 250 and 500 ms yield similar optimal performances for the test data sets prediction.
For our actual experimental data, we found that using a time window of at least 750 ms and time bins with widths between 250 and 500 ms yields similar optimal performances for the test data sets prediction.
In the HC region for both data sets, prediction accuracy is comparable when extrapolation does not exceed 10%.
The remaining samples (n = 200) were linked to their corresponding pre-processed IR spectra, and then split into two sets (prediction and calibration sets).
With strong relatedness between CV sets, prediction accuracies for RR within environment and BG were high for wood (r = 0.71 0.79) and moderately high for growth (r = 0.52 0.69) traits, in line with trends in heritabilities.
Similar(54)
We performed ENM using the Genetic Algorithm for Rule-set Prediction (GARP) to predict the optimal and potential ecological niche areas of C. gattii in BC.
The acceptable parameters of test set prediction, such as Rpred2= 0.768 and rm test)2="0.711 suggested that external predictivity of the model was significant.
The results are shown in Figure 5 where blue, red and green dots represent training set, test set and prediction set reactions, respectively.
Outliers are shown as filled circles in the test set prediction and residuals plots.
Outliers are shown as filled circles in the test set prediction and residuals columns.
Write better and faster with AI suggestions while staying true to your unique style.
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