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NEW QUESTION: 1
Two indicators specific to Automated Analytics allow you
to evaluate the performance of a model.
Note: There are 2 correct answers to this question.
A. The prediction confidence, which is the robustness indicator.
B. Through Java Web Start: in this mode, a Web server needs to be installed and configured on the machine hosting the SAP Predictive Analytics server. It will deliver, through web pages, the necessary content in order for the client computer to run the app
C. The predictive power, which is the quality indicator of the model, Automated Analytics User Guides and Scenarios Modeling Concepts P U B L I C 27
Answer: A,C

NEW QUESTION: 2
머신 러닝 전문가가 ROC 곡선 아래 면적 (AUC)이있는 Amazon SageMaker를 객관적인 메트릭으로 사용하여 트리 기반 앙상블 모델에 대한 하이퍼 파라미터 튜닝 작업을 시작합니다.이 워크 플로는 결국 매일 밤 하이퍼 파라미터를 재교육하고 튜닝하는 파이프 라인에 배포됩니다. 24 시간마다 오래된 데이터에 대한 모델 클릭 연결 모델을 학습하는 데 걸리는 시간을 줄이고 궁극적으로 비용을 줄이기 위해 전문가는 입력 하이퍼 파라미터 범위를 재구성하려고 합니다. 이?
A. 가장 중요한 입력 기능이 가우시안인지를 나타내는 히스토그램.
B. 각 훈련 반복에 대한 목표 메트릭의 성능을 보여주는 산점도
C. 최대 나무 깊이와 목표 메트릭 간의 상관 관계를 보여주는 산점도.
D. (-분산된 인접 이웃 임베딩 (I-SNE)을 사용하여 읽기 쉬운 차원으로 많은 입력 변수를 시각화하는 대상 변수로 색상이 지정된 산점도.
Answer: D

NEW QUESTION: 3
Which step sorts the observations of a permanent SAS data set by two variables and stores the sorted observations in a temporary SAS data set?
A. proc sort data=SASUSER.EMPLOYEES out=EMPSORT;
by Lname Fname;
run;
B. proc sort data=SASUSER.EMPLOYEES out=SASUSER.EMPSORT;
by Lname and Fname;
run;
C. proc sort out=SASUSER.EMPLOYEES data=WORK.EMPSORT;
by Lname Fname;
run;
D. proc sort out=EMPLOYEES data=EMPSORT; by Lname and Fname; run;
Answer: A