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質問 1：
How are split points determined in a decision tree?
A. By minimizing the number of leaf nodes
B. Randomly assigned
C. Based on the order of appearance in the dataset
D. By maximizing information gain or Gini impurity reduction
正解：D
質問 2：
When building a predictive model with logistic regression, when should you choose an appropriate link function?
A. Before assigning roles to variables
B. After specifying the learning rate
C. Based on the nature of the response variable and the problem
D. After specifying the number of predictors
正解：C
質問 3：
Which statement is true for the Informative Missingness property in SAS Visual Statistics?
A. A table of missingness patterns for the predictor variables is displayed in the model output.
B. The user is prompted to fill in a value to impute for missing predictor variables.
C. Missing values are flagged on diagnostic plots.
D. Missing values are imputed and indicator variables are created for missing predictors.
正解：D
質問 4：
In logistic regression modeling, how is the probability of an event typically estimated?
A. By assigning roles to variables
B. By calculating the mean of the predictor variables
C. By fitting a linear regression model to the data
D. By applying the link function to the linear predictor
正解：D
質問 5：
When interpreting comparison results using the Assessment panel, what information can be obtained?
A. The number of iterations performed by each model
B. Model performance metrics, such as AUC and KS Statistic
C. The distribution of predictor variables
D. The relationship between two predictor variables
正解：B
質問 6：
What is the primary purpose of modeling effects in linear regression?
A. To calculate the p-values of the predictors
B. To capture the relationship between predictors and the response variable
C. To identify outliers in the data
D. To assess multicollinearity among predictors
正解：B
How are split points determined in a decision tree?
A. By minimizing the number of leaf nodes
B. Randomly assigned
C. Based on the order of appearance in the dataset
D. By maximizing information gain or Gini impurity reduction
正解：D
質問 2：
When building a predictive model with logistic regression, when should you choose an appropriate link function?
A. Before assigning roles to variables
B. After specifying the learning rate
C. Based on the nature of the response variable and the problem
D. After specifying the number of predictors
正解：C
質問 3：
Which statement is true for the Informative Missingness property in SAS Visual Statistics?
A. A table of missingness patterns for the predictor variables is displayed in the model output.
B. The user is prompted to fill in a value to impute for missing predictor variables.
C. Missing values are flagged on diagnostic plots.
D. Missing values are imputed and indicator variables are created for missing predictors.
正解：D
質問 4：
In logistic regression modeling, how is the probability of an event typically estimated?
A. By assigning roles to variables
B. By calculating the mean of the predictor variables
C. By fitting a linear regression model to the data
D. By applying the link function to the linear predictor
正解：D
質問 5：
When interpreting comparison results using the Assessment panel, what information can be obtained?
A. The number of iterations performed by each model
B. Model performance metrics, such as AUC and KS Statistic
C. The distribution of predictor variables
D. The relationship between two predictor variables
正解：B
質問 6：
What is the primary purpose of modeling effects in linear regression?
A. To calculate the p-values of the predictors
B. To capture the relationship between predictors and the response variable
C. To identify outliers in the data
D. To assess multicollinearity among predictors
正解：B
小出** -
A00-485試験対策のテキストです。見やすく、A00-485勉強しやすい本だと思いました。