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predictor    音标拼音: [prɪd'ɪktɚ]
n. 预言者,预告者

预言者,预告者

predictor
预测子

predictor
n 1: someone who makes predictions of the future (usually on the
basis of special knowledge) [synonym: {forecaster},
{predictor}, {prognosticator}, {soothsayer}]
2: information that supports a probabilistic estimate of future
events; "the weekly bulletin contains several predictors of
mutual fund performance"
3: a computer for controlling antiaircraft fire that computes
the position of an aircraft at the instant of a shell's
arrival

Predictor \Pre*dict"or\, n.
One who predicts; a foreteller.
[1913 Webster]


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  • Announcing Az Predictor | Microsoft Community Hub
    Az Predictor helps our Azure developers find the cmdlet they are looking for efficiently, identify the required parameters quickly, and experience fewer errors We worked closely with the PowerShell team to have Az be the first module that leverages this new interface and bring suggestions to the developer’s fingertips
  • predictor - What is the difference between estimation and prediction . . .
    uncertainty: a predictor usually has larger uncertainty than a related estimator, due to the added uncertainty in the outcome of that random variable Well-documented and -described predictors therefore usually come with uncertainty bands--prediction intervals--that are wider than the uncertainty bands of estimators, known as confidence intervals
  • How do I determine the best predictor in a linear regression model . . .
    I've got data regarding baseball with four independent variables I'm confused as to how to determine which variable is the most significant predictor To begin, I ran a multiple regression and focused on the t-values stated in the coefficient's table However, 3 of the 4 variables are significant according to the p-values
  • Understanding predictor importance in clustering with SPSS
    SPSS offers a certain metric to assess predictor or variable importance in clustering How it is calculated has already been answered in the following thread: "How is Relative Variable Importance computed in TwoStep Clustering in SPSS?" The information provided by SPSS does not go beyond this: Predictor Importance (cluster evaluation algorithms)
  • Announcing Az Predictor preview 5 | Microsoft Community Hub
    Enable Az Predictor Enable-AzPredictor -AllSession This command will enable Az Predictor in all further sessions of the current user Note: Due to underlying API breaking changes, Az Tools Predictor preview 3 or newer are not compatible with PowerShell 7 2 0-preview 6 or newer Upgrade to preview 5 of Az Tools Predictor to be compatible with
  • What is the effect of having correlated predictors in a multiple . . .
    The key concept to understand to resolve your questions is the variance inflation factor (VIF) The VIF is how much the variance of your regression coefficient is larger than it would otherwise have been if the variable had been completely uncorrelated with all the other variables in the model
  • Significance of categorical predictor in logistic regression
    I am having trouble interpreting the z values for categorical variables in logistic regression In the example below I have a categorical variable with 3 classes and according to the z value, CLASS2
  • Assessing the Contribution of each Predictor in Linear Regression
    Some quick answers It means basically nothing to compare the values of the regression coefficients unless the predictors are standardized and the model is specified correctly, especially when the predictors are inter-correlated (which is definitely the case - look at the warning at the bottom of the output)
  • Can ANOVA be used with a categorical outcome and continuous predictor . . .
    Then you have a specific "predictor" x and a defined "outcome" y; you would want the analysis method to reflect the experimental design In some types of observational study, however, the distinction between the "outcome" and the "predictor" isn't always so clear
  • regression - Can I simply remove one of two predictor variables that . . .
    Using Pearson's Correlation Coefficient, I have several variables that are highly correlated ($\\rho = 0 978$ and $\\rho = 0 989$ for 2 pairs of variables that are in my model) The reason some of the





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