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NEW QUESTION: 1
You are using C-Support Vector classification to do a multi-class classification with an unbalanced training dataset. The C-Support Vector classification using Python code shown below:

You need to evaluate the C-Support Vector classification code.
Which evaluation statement should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: Automatically adjust weights inversely proportional to class frequencies in the input data The "balanced" mode uses the values of y to automatically adjust weights inversely proportional to class frequencies in the input data as n_samples / (n_classes * np.bincount(y)).
Box 2: Penalty parameter
Parameter: C : float, optional (default=1.0)
Penalty parameter C of the error term.
References:
https://scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html

NEW QUESTION: 2
A service must be available 24x7. It also requires 99.999% availability. How much total downtime can the service tolerate in one year?
A. About 5 minutes
B. About 50 minutes
C. About 5 seconds
D. About 5 hours
Answer: A

NEW QUESTION: 3
Fill in the blank.
Determine if the description is Master/Detail or Lookup: Lookup field on child is always required.
Answer:
Explanation:
Master/Detail

NEW QUESTION: 4

A. a {font-weight: bold;}
B. a: visitied {font-weight: bold;}
C. a [href$= "http://"] {font-weight: bold;}
D. a [href