A00-240題庫資訊 & A00-240題庫分享，A00-240在線考題 - Royalholidayclubbed

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Royalholidayclubbed確保廣大考生獲得最好和最新的SASInstitute A00-240題庫資訊題庫學習資料，您可以隨時隨地的訪問我們網站尋找您需要的考古題。我們提供所有熱門認證考試學習資料，其中包含PDF電子版本和軟件版本的A00-240題庫資訊題庫，還有APP在線版本支持離線使用，方便考生選擇使用。并且我們的A00-240題庫資訊考古題包含實際考試中可能出現的所有問題，是您的A00-240題庫資訊考試合格的最佳復習資料，幫助您輕松通過測試。沒有人願意自己的人生平平淡淡，永遠在自己的小職位守著那份杯水車薪，等待著被裁員或者待崗或是讓時間悄無聲息的流逝而被退休。這樣的生活是在太沒有滋味了，難道你不想讓你的生活變得多滋多彩嗎？不要緊。在您購買SASInstitute A00-240題庫資訊考古題之前，我們所有的題庫都有提供對應免費試用的demo，您覺得適合在購買，這樣您可以更好的了解我們產品的品質。

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A00-240 PDF DEMO:

QUESTION NO: 1
Refer to the confusion matrix:
Calculate the accuracy and error rate (0 - negative outcome, 1 - positive outcome)
A. Accuracy = 83/150, Error Rate = 67/150
B. Accuracy = 58/102, Error Rate = 23/48
C. Accuracy = 25/150, Error Rate = 44/150
D. Accuracy = 83/102, Error Rate = 67/102
Answer: B

QUESTION NO: 2
A predictive model uses a data set that has several variables with missing values.
What two problems can arise with this model? (Choose two.)
A. New cases with missing values on input variables cannot be scored without extra data processing.
B. Complete case analysis means that fewer observations will be used in the model building process.
C. The model will likely be overfit.
D. There will be a high rate of collinearity among input variables.
Answer: A,B

QUESTION NO: 3
In order to perform honest assessment on a predictive model, what is an acceptable division between training, validation, and testing data?
A. Training: 0% Validation: 100% Testing: 0%
B. Training: 50% Validation: 50% Testing: 0%
C. Training: 50% Validation: 0% Testing: 50%
D. Training: 100% Validation: 0% Testing: 0%
Answer: B

QUESTION NO: 4
Which statistic, calculated from a validation sample, can help decide which model to use for prediction of a binary target variable?
A. Chi Square
B. Adjusted R Square
C. Mallow's Cp
D. Average Squared Error
Answer: D

QUESTION NO: 5
This question will ask you to provide missing code segments.
A logistic regression model was fit on a data set where 40% of the outcomes were events (TARGET=1) and
60% were non-events (TARGET=0). The analyst knows that the population where the model will be deployed has 5% events and 95% non-events. The analyst also knows that the company's profit margin for correctly targeted events is nine times higher than the company's loss for incorrectly targeted non-event.
Given the following SAS program:
What X and Y values should be added to the program to correctly score the data?
A. X=40, Y=10
B. X=.10, Y=05
C. X=.05, Y=10
D. X=.05, Y=.40
Answer: C

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Updated: May 28, 2022

by RHC.

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