Sentence examples for input predictors from inspiring English sources

Every observation in our data set consists of input predictors and output variable.

Input predictors are usually independent variables, believed to have some predictive power over the dependent variable (predictand).

As with all regression techniques we assume the existence of a single output (response) variable and one or more input (predictors) variables.

Instead of the raw data set, here the factor scores obtained in the factor analysis were used as the input predictors.

Although these predictions should not be assumed typical, they demonstrate that the MFDp can outperform all of its input predictors.

For the prediction of both all and long segments on the smaller CASP8 dataset, the MFDp significantly improves over its input predictors, MD, NORSnet and Ucon for the binary prediction measured using MCC and S w.

To obtain a comprehensive view on the applicability of coupling WRF and ANN to downscaling, the influence of each input predictor on the output should be investigated.

The multivariate statistical technique PLS-DA (Partial Least Square Discriminant Analysis) was used to build this model and as the input (predictor) variables, the model used dimensionless groups of the physical factors.

PLS is a multivariate linear regression technique between an input (predictor) matrix, X, and an output response matrix, Y.

Finally, NPL scores (a measure of allele sharing used in non-parametric linkage analysis) could also be used as inputs (predictors) of the NN [ 25].

Neural networks are non-linear statistical data machine learning tools that use hidden layers of connections to model the relationship between inputs (predictor variables) and output (classification).