The phrase "as a test point" is correct and usable in written English.
It can be used in contexts where you are referring to a specific location or instance used for testing purposes.
Example: "We will use the new software version as a test point to evaluate its performance under different conditions."
Alternatives: "as a testing reference" or "as a test marker".
The experimental setup was specially designed, as well as test point location, parameters and procedures, and the main influencing factors were analyzed affecting riverbank failure based on the failure types, the variations of pore water pressure and soil displacement.
Thus, the question of determining the population mixture of an individual, i.e. the parental populations and their proportions, can be translated into the following problem in the K-dimensional admixture space: find a representation of a given test point as a convex combination of a subset of N reference points.
In this paper, based on the idea of controlling the probability of correct classification of a future test point as big as possible in the transformed feature space, a new supervised FT method called minimax probabilistic feature transformation (MPFT) is proposed for multi-class dataset.
A probability of disease under 2% has been identified as a testing threshold (point at which the negatives of a test outweigh the positives) for CT use in detecting other important diseases, such as pulmonary embolism.
In order to evaluate the conditional coverage of the resulting PIs, we pre-selected five fixed covari-ate combinations x t with t = 1,..., 5, as test points and thereby tried to cover the x-space.
We counted a correctly classified test point as a true positive (TP) if the test point corresponded to the positive class and as true negative (TN) if the test point corresponded to the negative class.
In the present study, single base flipping from a DNA double helix is used as a test case to point out how a structural change can be precisely characterized using free energy landscape analysis.
Table 1 presents mean force values and standard deviations for all methods of fixation at each test point, as well as an average of test point means for each method.
DIVA-GIS allows for model testing by calculation of the Area Under the Curve (AUC), referring to the Receiver Operation Characteristic (ROC) curve by using a subset of data (commonly 25 30%) as test points and the remaining ones as training points [45], [50].
Equal variances have been assumed, as Levene test pointed out, for the 3 variables analyzed.
