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Consider the data with categorical predictor x1 = {green or red} and numerical predictor x2 and the class variable y shown in the following table. The weights for a round of boosting are also shown in the table. Suppose the classifier built from this round of boosting assigns y = 1 for x2 < 0.45 and y = -1 for x2 > 0.45. Compute the coefficient α for this classifier in the adaboost algorithm.
THE NEED OF PARALLEL COMPUTATION With the growth of computer science, computational pace of the processors has also increased many a times. Though, there are definite constr
Defining Types of Data ? The subsequent format is used for defining data definition: Format for data definition: {Name} Name - a program references the data
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) Vari
What are value types and reference types? Value type - bool, byte, chat, decimal, double, enum, float, int, long, sbyte, short, strut, uint, ulong, ushort. Value types are sto
ENCTYPE="application/x-www-form-urlencoded" and in its place use ENCTYPE="text/plain". The subsequent illustration displays a general form which includes some of the commo
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Explain the following the address instruction? Three-address instruction-it can be represented as add a,b,c Two-address instruction-it can be shown as Add a,b
Q. Requirements of decision support system? a) Fast computation A decision maker is able to perform a large number of computations very quickly and that too at a low cost
Explain Gray Code Ans. Gray Code 1. Extremely useful code. Also termed as reflected code. 2. All gray code is different from the preceding and succeeding codes thr
Computer Memories Computer memories are either external or internal. Internal memories are either RAM (random access memory) or ROM (read only memory). External memories can t
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