Which of the following pairs of features is most impacting the predictions of this new pipeline based on the absolute magnitude of its coefficients?

Let’s now work with both numerical and categorical features.   Create a predictive model where: The numerical data must be scaled. The categorical data must be one-hot encoded. Use the “infrequent_if_exist” strategy to handle unknown categories. For such purpose, set  `min_frequency=0.05` to group categories concerning less than 5% of the total samples. The predictor is a `LogisticRegressionCV` with same parameters as before,  except that you may need to increase the number of `max_iter`, which is 100 by default. Use the same 10-fold cross-validation strategy with `return_estimator=True` as above to evaluate the accuracy of this new pipeline. By comparing the cross-validation test scores of both models fold-to-fold, count the number of times the model using both numerical and categorical features has a better test score than the model using only numerical features.

A switch/router marks packets if its queue size exceeds a threshold/buffer.

Which of the following is not correct about the experimental result below?

What are these OpenFlow Flow Table mean:         Write in one line.

DCTCP, router uses IP ECN bits

chunk size is fixed as 64 MB.

In OpenFlow, Router matches longest destination IP prefix

Which of the following is not a limitation of traditional Distributed File Systems (DFS)?

CDNs is to puts content provider in control over how its content is cached.