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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
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EBS uses an embedded ARM microprocessor.
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Write down the general model for the translation process. For the translation process the general model can be represented as given here:
Determine the Example of timescale 'timescale 10ns / 1ps Indicates delays are in 10 nanosecond units with 3 decimal points of precision (1 ps is 1/1000ns which is .001 ns).
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