Sentence examples for outcomes from a set of from inspiring English sources

As result, we obtained reasonable outcomes from a set of initial and simplified scenarios: the PM successfully reproduced the direction of the primary observed structural and land tenure patterns, even before calibration.

The dataset consisted of the phenotypic outcomes from a set of knockout mutants of single genes and was used to define the classes "essential" and "non-essential" for our reactions.

The nature of the dependent variable in logistic regression is usually dichotomous such as 0 or 1. Kavzoglu et al., 2014) This technique usually used to predict the outcome from a set of variables that may be continuous.(Raghavendra & Srivatsa, 2011) Value of 1 will be taken by the dependent variable with P as the probability of success or 0 as the value of probability of failure 1-P.

Logistic regression (logit model) allows one to predict a binary outcome from a set of predictor variables, which could be continues or discrete or mix of any of these.

In medical research, it is common to conduct a systematic review and meta-analysis to provide an overall estimate of a clinical treatment outcome from a set of individual studies.

Quite commonly, classification based on some consensus of classification outcomes coming from a set of classifiers operating upon different feature subsets becomes more accurate than the classification results produced by any individual classifier.

Alternative methods to evaluate pragmatic model performance are required and we propose constructing predictions either from a second set of covariate imputations which make no use of observed outcomes, or from a set of partial prediction models constructed for each potential observed pattern of covariate.

Moreover, the actual change can be viewed as one change outcome taken from a set of alternative outcomes that could have occurred.

The addition of items pertaining to ICF participation may also shift the focus from purely measured functional outcomes to a set of patient reported outcomes.

Unlike deterministic models, which always produce the same results given the same parameters and initial conditions, stochastic models can generate a distribution of possible outcomes from a given set of parameters.

But with these ambitious visions for computer lab-driven outcomes comes a set of challenges.