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NEW QUESTION: 1
A. Schedule
B. Scope
C. Time
D. Cost
Answer: D
NEW QUESTION: 2
バイナリ分類モデルを作成して、人に疾患があるかどうかを予測します。
分類エラーの可能性を検出する必要があります。
説明ごとにどのエラータイプを選択する必要がありますか?回答するには、回答領域で適切なオプションを選択します。
注:それぞれの正しい選択は1ポイントの価値があります。
Answer:
Explanation:
Explanation:
Box 1: True Positive
A true positive is an outcome where the model correctly predicts the positive class Box 2: True Negative A true negative is an outcome where the model correctly predicts the negative class.
Box 3: False Positive
A false positive is an outcome where the model incorrectly predicts the positive class.
Box 4: False Negative
A false negative is an outcome where the model incorrectly predicts the negative class.
Note: Let's make the following definitions:
"Wolf" is a positive class.
"No wolf" is a negative class.
We can summarize our "wolf-prediction" model using a 2x2 confusion matrix that depicts all four possible outcomes:
Reference:
https://developers.google.com/machine-learning/crash-course/classification/true-false-positive-negative
NEW QUESTION: 3
A company needs to monitor the read and write IOPs metrics for their AWS MySQL RDS instances and send real-time alerts to their operations team. Which AWS services can accomplish this?
Choose 2 answers
A. Amazon Simple Email Service
B. Amazon CloudWatch
C. Amazon Simple Notification Service
D. Amazon Route 53
E. Amazon Simple Queue Service
Answer: B,C