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statuscvo [17]
3 years ago
10

You just finished training a decision tree for spam classification, and it is gettingabnormally bad performance on both your tra

ining and test sets. You know that yourimplementation has no bugs, so what could be causing the problem?
(a) Your decision trees are too shallow.
(b) You need to increase the learning rate.
(c) You are overfitting.
(d) All of the above
Computers and Technology
1 answer:
strojnjashka [21]3 years ago
5 0

Answer:

Option B is the correct option.

Explanation:

The following answer is true because when the person completed our training of a decision tree and after the following presentation he getting not good working performance on both side i.e., test sets and during the training period. After the training there is no bug on the implementation of the presentation then, he has to increase the rate of the learning.

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Answer:

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Explanation:

a. Following that the opcode is 6 bits, it is generally known that the maximum number of opcodes should be 2^6, or 64 opcodes.

b. Now, since the size of the register field is 5 bits, we know that 2^5 registers can be accessed, or 32 registers.

c. Unsigned immediate operand applies to the plus/minus sign of the number. Since unsigned numbers are always positive, the range is from 0 to 2^16, or 0 to 65536.

d. Considering that the signed operands can be negative, they need a 16'th bit for the sign and 15 bits for the number. This means there are 2 * (2^15) numbers, or 2^16. However, the numbers range from -32768 to 32768.

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There are different kinds of files. The option that is a vector graphic file formats is SVG.

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