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As an emerging research direction, online streaming feature selection deals with sequentially added dimensions in a feature space while the number of data instances is fixed.
N ("true negatives") is the number of data instances that are inactive and have been predicted inactive.
However, it is susceptible to the number of data instances in the dataset and has a unidimensional nature [32].
Distribution of S-GPA1 values, where x-axis and y-axis correspond to value intervals and number of data instances (or students), respectively Fig. 4 S-GPA2.
Distribution of S-GPA4 values, where x-axis and y-axis correspond to value intervals and number of data instances (or students), respectively.
Distribution of S-GPAX values, where x-axis and y-axis correspond to value intervals and number of data instances (or students), respectively Fig. 3 S-GPA1.
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Usually, the number of normal data instances is more than the number of anomaly data instances.
Since most classification algorithms assume that each data instance (gene/protein) has the same number of attributes, all data instances were represented by a fixed set of attributes representing a binary value ("yes" or "no")" for each GO term.
where Nα denotes the number of the training data instances belonging to class ω α and the kernel function is as defined below.
In a number of instances, data entries contain sets of (filtered) compound activity classes (ACs) to ensure reproducibility of results reported in a specific publication.
n - the number of data pairs.
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CEO of Professional Science Editing for Scientists @ prosciediting.com