Examples of using Predictor in English and their translations into Korean
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For nonlinear SVM, the algorithm forms a Gram matrix using the rows of the predictor data X.
With the Intralinks Deal Flow Predictor we provide a comprehensive data snapshot of activities by both region
The F-test looks for a significant linear regression relationship between the response variable and the predictor variables.
The Weight^2 predictor is just over the edge of significance(pValue< 0.05) as you can see in the coefficients table display.
(Note: I am no longer using all the predictor variables in the example below, for the sake of clarity).
By now you have probably seen a Predictor; millions of them have been sold by the time you're reading this.
If the predictor data is a matrix(X), fitcsvm assumes all predictors are continuous.
the eclipse/ predictor transit communication path, and so on.
This year, BISTel will present its Health Monitoring& Prediction(HMP) and Wafer Quality Predictor(WQP) solutions, which are specialized in prediction.
Flag to standardize the predictor data, specified as the comma-separated pair consisting of'Standardize'
then you can use'PredictorNames' to give the predictor variables in X names.
By now youve probably seen a Predictor millions of them have been sold by the time youre reading this.
For instance, we were using the concentration of a liver enzyme as a predictor, for which the medical logic was not obvious.
The SupportVectors property stores the predictor values for the support vectors, including the dummy variables.
1000 Genomes Project allele frequencies, dbSNP and VEP(Variant Effect Predictor) database.
In other words: past market action might not be as useful as a predictor.
The software centers and scales each predictor variable(X or Tbl) by the corresponding weighted column mean and standard deviation.
Load examgrades Use the last exam scores as response data and the first two exam scores as predictor data.
Now, perform a hypothesis test on the coefficients of the first and second predictor variables.
This plot holds one predictor fixed while varying the other, and plots the effect as a curve.