Answer:
D. None of the answers is correct, since we're missing the probabilities: p(X1=0), p(X1=1),
Explanation:
To calculate the probability that an example belongs to a particular category, we need to know the prior probability of the category (p(Y=0) or p(Y=1)), the probability of the attribute value given the category (p(X1=0|Y=0) or p(X1=1|Y=1)), and the probability of the attribute value (p(X1=0) or p(X1=1)). We are missing the latter two probabilities, so we cannot calculate the probability that an example belongs to a particular category.
Answer: Please find below the answer along with explanation.
Explanation:
For a given communication channel (for instance, a LAN segment using Ethernet ) the Bandwidth refers to the theoretical maximum data rate that the channel can support, for instance, 100 Mbps in a 100Base T network.
The throughput, instead, refers to the actual data rate achieved in a given communications channel, taking into account the different channel impairments.
For instance, in a LAN segment that uses the original Ethernet 802.3 standard (CSMA/CD), a frequent occurrence of collisions can take down the actual data rate from the theoretical 100 Mbps to a very lower figure, i.e., 5 Mbps.