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Suppose the random sample used for each tree in the previous random forest is decreased from 1000 rows to 500 rows. Circle ALL that are true for the ensemble classifier.
a) Variance of predictions are expected to decrease
b) Bias of predictions are expected to decrease
c) Each base classifier is expected to have more out of bag rows of data
d) Generalization error is expected to decrease
The LOOP-ENDLOOP on extract datasets can be used without any kind of errors False. It causes runtime errors.
Question: (a) What are the main challenges for Mobile Computing? (b) What is the ISM band and what is particular about this frequency band? Name two wireless technologies
Give the truth table of S-R and D-flipflops. Ans: The Truth Table for S-R Flip-Flop is illustrated in Fig.(a) and truth table of D Flip-Flop is illustrated in Fig.(b)
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What are the lists of signal available? Terminating and suspending method Physical circumstances Available for the Programmer Fault in power supply
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Question: a) Explain why pervasive computing can be termed as a "technology that disappears". b) List and describe four main components of a MOTE used in Wireless Sensor N
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