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NEW QUESTION: 1
Which one of the following Discovery phases is the error "No results returned from probe" found on?
Response:
A. Port Scan
B. Classification
C. Exploration
D. Identification
Answer: A

NEW QUESTION: 2
The implications of stock market efficiency for fundamental analysis indicates that using the top-down approach to analyze a firm will yield:
A. superior returns compared to a randomly selected buy-and-hold portfolio of stocks.
B. superior returns using only past information.
C. superior returns using past and current information.
D. returns that are not superior if the analysis only looks at past and current information.
Answer: D
Explanation:
Explanation/Reference:
Explanation:
The evidence is that fundamental analysis does not lead to superior returns using the top-down approach if the analyst uses only past and current information. The analyst's job has to be directed towards doing a superior job of estimating the variables that cause long-run trends in realized returns.

NEW QUESTION: 3
バイナリ分類モデルを作成して、人が病気にかかってい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、回答エリア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には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


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