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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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It is fast because it has got separate program and data memory(highly pipelined architecture)
A three stage network is designed with the following parameters: M=N=512, p = q = 16 and α = 0.65. Calculate the blocking probability of the network, if s=16. Symbols carry th
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sequential files
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List the criteria on the basis of which data structures used in language processing can be classified. In language processing the data structures utilization can be classified
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