Ai Feedback
Exact(16)
where is the prior probability for classes 0, and 1, the vector of expected features values and the feature vector.
These features' values are either the respective amino acid or the physico-chemical class of the amino acid.
Then, according to the final feature vector, the selected features values are fed to the trained ANN for classifying them.
The output of preprocessing II (features extraction) is the data from 9 sensors with some features values that can be seen on Table 3.
The detected postures along with current features values like head distance, centroid distance and current angle are shown in the images.
This extension (referred to as (a) in Table 1) facilitates the identification of compounds with the highest or lowest features values.
Similar(44)
For example, most problems use data vectors with discrete, real-valued and nominal feature values.
The feature values ranges are the space determine whether the feature value are correct or not.
We also introduce a metric on TET feature values.
Thus, the feature values can be understood as confidence values.
Further, feature values are negative in this example.
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