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Heuristic 3: The original Weibo message is prone to be a positive sample.
Heuristic 2: The Weibo message with the image or video information is prone to be a positive sample.
Heuristic 1: The Weibo message with the location or GIS information is prone to be a positive sample.
This suggests that if the expression of every x i is between a i and b i for a HCV test sample, then this test sample is very likely to be a positive sample.
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This is likely to be a positive sampling issue whereby this study was conducted in a diversity of areas and not contained to the Highlands and Port Moresby but rather included the Islands region where this practice is common.
In other words, x is a positive sample for y.
In order to acquire the location ( {l}_t^ ) of the target at time t, compute the probability p y = 1) that all samples X is a positive sample.
where q=1 means that the trained sample is a positive sample of the current class, q=−1 indicates negative samples, w is a weight vector for the model, and b is a bias term.
While training the classifier, we use the selected positive and negative sample set, X + and X −, and then, the probability that a sample is a positive sample is as follows [14]: pleft(y=frac{e^{gH X=frac{e^{H(X)}}{e^{H X)}+{e}^{-H X)}}=0.5 tan hleft(H(X)right)+0.5, (6).
In this study, if the drug-target pair with the shortest distance is a positive sample, meaning that they can interact with each other, the sample for test is seen as a positive drug-target pair.
A true positive (TP) is a positive sample which is predicted correctly as positive.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com