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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
Activity of a some enzyme was calculated in extracts from brain, heart and lung. In every tissue, the activity was calculated various times, giving the following results (in
write a program insert and remove value in queue.
What are the largest UDP messages that can fit into single Ethernet frame? UDP utilizes IP for delivery. As ICMP UDP packet is encapsulated in IP datagram. Therefore entire UDP
Given a RAID 3 (bit-interleaved parity) with k disks, how well will large block transmits work? How well will it handle a high I/O request rate? Compare the performance to a one di
LDAP stands for LDAP- Light weight Directory Access Protocol.
The major programs here are Arthur Samuel's, the rote learning method which is a lot like a memory based method, generalization learning which is a lot like backprop and a signatur
Bitwise-Inclusive-OR Operator: inclusive-OR-expression : exclusive-OR-expression inclusive-OR-expression | exclusive-OR-expression The bitwise-inclusive-OR operator
Illustrated three stages of data mining process? Stage 1: Exploration: This stage generally starts along with data preparation that may involve cleaning data, selecting subse
Q. What do you mean by Interrupts? The term interrupt is an exceptional event which causes CPU to temporarily transfer its control from presently executing program to a separat
A random variable (X) is modelled as an exponentially distributed with mean 30 units. Simulate N = 50 samples from this distribution, and every sample must have m = 20 simulated va
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