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Exact(6)
Model accuracy when calibrated using in situ versus satellite objectives is explored in detail.
An analytical technique for evaluating model accuracy when binned percentage cover data is available for comparison is also presented.
To increase the MDL model accuracy when the stationary window is short, this signal is upsampled to 16,000 Hz from the original 10,000 Hz.
Consideration of both the transformation kinetics and transformation plasticity are proven to significantly improve model accuracy when comparing measured and predicted residual stress profiles.
In order to evaluate model accuracy when predicting a risky zone, the data collected was randomly divided into two sets: a training set (70% of the data points) used to build the model, and a test set (30% of the data points) to assess the accuracy of the model when dealing with unknown data.
This allows us to determine how each feature affects the model accuracy when combined with four other features.
Similar(54)
G. gorilla and H. sapiens, both in the Hominidae group, have a sufficient amount of pre-miRNA examples to establish a model and are very closely related so that they should show similar average model accuracies when trained against the same set of species.
There was little difference in the model accuracies when urine features alone were used to develop the models compared to models that included clinical variables.
There is very little difference (<10%) between the model selection accuracy when model selection was carried out using a full ML tree search using each available model and the models selected by the quicker NJ-JTT method (see Table 2).
Bootstrapping is a well-established approach for validation of a predictive model through quantifying the degradation in model predictive accuracy when applied in different data sources, which is known as overoptimism.
Does the model accuracy change when patient populations are stratified according to demographic or clinical characteristics?
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