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NEW QUESTION: 1
DRAG DROP
Answer:
Explanation:
NEW QUESTION: 2
You create a binary classification model to predict whether a person has a disease.
You need to detect possible classification errors.
Which error type should you choose for each description? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
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
顧客の注文を受けるASP.NET MVCアプリケーションを開発しています。
注文は、米国を拠点とするIPアドレスを持つ顧客に限定されます。
カスタムルートハンドラーを実装する必要があります。
ルートハンドラーを実装するにはどうすればよいですか？ （回答するには、適切なコード行を正しい場所にドラッグします。各コード行は、1回以上使用されるか、まったく使用されない場合があります。ペイン間で分割バーをドラッグするか、コンテンツを表示するにはスクロールする必要がある場合があります。 。）
Answer:
Explanation:
Explanation:
References: http://msdn.microsoft.com/en-us/library/system.web.routing.iroutehandler.gethttphandler.aspx
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Feedbacks
Aalk - 2014-05-05 16:45:18
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