試験DY0-001 トピック2 問題1 スレッド

CompTIA DY0-001のリアル試験問題集
問題 #: 1
トピック #: 2

A data scientist has built a model that provides the likelihood of an error occurring in a factory. The historical accuracy of the model is 90%. At a specific factory, the model is reporting a likelihood score of 0.90. Which of the following explains a confidence score of 0.90?

A. Running this model for all known factory issues, it is expected the model will identify 90 out of 100 known factory issues.

B. Running this model on 100 samples of factories, a certain model performance is expected for 90 out of the 100 samples.

C. Running this model 100 times on a factory, it is expected the model will predict 90 out of 100 factory errors.

D. Running this model 100 times within a factory it is expected the model will predict error 90 out of 100 times the model is ran.

おすすめの解答：D 解答を投票する

A confidence score of 0.90 is a probabilistic estimate, interpreted as the model assigning a 90% chance of an error on that particular factory instance, which in the long run corresponds to predicting "error" in about 90 out of every 100 identical runs.

加藤** 2026-08-15 09:28:54

時間限定で

15%

オフ

プレミアムのDY0-001問題集のセルフテストエンジンまたはPDFをゲットしよう

試験DY0-001 トピック2 問題1 スレッド

コメント