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NEW QUESTION: 1
Was ist wahr an der Datei / etc / localtime?
A. Es ist ein Symlink zu / sys / device / clock / ltime und enthält immer die aktuelle Ortszeit.
B. Wird vom NTP-Dienst basierend auf dem Speicherort der IP-Adresse des Systems erstellt und verwaltet.
C. Dies ist entweder ein Symlink zu oder eine Kopie einer Zeitzoneninformationsdatei wie z
/ usr / share / zoneinfo / Europa / Berlin.
D. Es handelt sich um eine einfache Textdatei, die eine Zeichenfolge enthält, z. B. Europa / Berlin
E. Nach dem Ändern dieser Datei muss newtzconfig ausgeführt werden, damit die Änderungen wirksam werden.
Answer: C
NEW QUESTION: 2
決定木アルゴリズムを使用しています。次のツリー深度で一般化するモデルを訓練しました。
10。
さまざまなツリー深度値を持つモデルのバイアスおよび分散プロパティを選択する必要があります。
各ツリーの深さに対してどのプロパティ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。
Answer:
Explanation:
説明
In decision trees, the depth of the tree determines the variance. A complicated decision tree (e.g. deep) has low bias and high variance.
Note: In statistics and machine learning, the bias-variance tradeoff is the property of a set of predictive models whereby models with a lower bias in parameter estimation have a higher variance of the parameter estimates across samples, and vice versa. Increasing the bias will decrease the variance. Increasing the variance will decrease the bias.
参照：
https://machinelearningmastery.com/gentle-introduction-to-the-bias-variance-trade-off-in-machine-learning/
NEW QUESTION: 3
Refer to the exhibit. How many collision domains are shown?
A. one
B. four
C. six
D. three
E. twelve
F. two
Answer: F
Explanation:
Hubs create single collision and broadcast domains.
NEW QUESTION: 4
When an organization is using or interested in R, which of the following statements is true?
A. IBM SPSS Modeler and R are incompatible.
B. R can do everything that IBM SPSS Modeler can do.
C. R has powerful deployment capabilities.
D. IBM SPSS Modeler can use and augment R.
Answer: D
