Sentence examples for binary classification based on from inspiring English sources

(ii) A binary classification, based on the criteria above (Supplementary Fig. 1), was used to gather time-resolved data points.

We propose a method to determine the rainfall threshold for flood warning by using frequency analysis and binary classification based on long-term GBHM simulations that are forced by historical rainfall data to create a practically easy and straightforward approach for flash flood forecasting in ungauged mountainous catchments with drainage areas from tens to hundreds of square kilometers.

Historically, Americans think of race in terms of a black-white binary classification, based on skin shade and hypo-descent.

Stepwise multiple regression and binary logistic regression selected the best predictors of the VG scores (for each scale and for the binary classification based on the cut-off = 20), considering as input variables the participants' sex, age, employment status, marital status, and personality profile (TCI-R scores).

These are the classifiers based on support vector machines (SVMs), learning machines that make binary classifications based on a hyperplane separating a remapped instance space [ 30].

This paper extends the previous work in smooth support vector machine (SSVM) from binary to k-class classification based on a single-machine approach and call it multi-class smooth SVM (MSSVM).

In the history of the United States, the development of a binary system (white/non-white) of racial classification based on white supremacist beliefs, counterbalanced with perceptions of black inferiority, has led to an unequal distribution of resources between blacks and whites.

Should the binary classification oncogene tumor suppressor gene be replaced with a functional classification based on the activity of the mutated variant?

Results from the discriminant analysis conducted using the binary flood status as the group variable resulted in a 73% correct classification based on the barrier responses from the first survey.

Multiple binary response variables were defined where each BDA with observed concentrations was assigned an indoor radon vulnerability classification based on the following thresholds: 50, 100, 150, 200, 300, 400, 500, and, 600 Bq m−3.

Classification based on the aromatic/arginine selectivity filter.