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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
Explain non-pre-emptive algorithms? Non preemptive algorithms: In this algorithm a job is provided to CPU for execution as long as the job is non-completed the CPU cannot
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What happens when HLT instruction is implemented in processor? Ans) The Micro Processor go into the Halt-State and the buses are tri-stated.
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Telephone companies normally provide a voltage of to power telephones? Telephone companies usually give a voltage of to power telephones -48 volts DC.
Expain the working of associative memory
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