Suppose a hard margin linear SVM classifier has been trained on a linearly separable 2D data and a horizontal decision boundary WTX + b = 0 has been found that passes through the origin. Weight vector W has 3 elements w0, w1, w2 such that w0 + w1x1 + w2x2 = 0 Which set of values is a correct assignment to the weight vector to characterize the decision boundary of this SVM classifier? w0=1 w1=0 w2=-1 w0=0 w1=1 w2=-1 w0=1 w1=-1 w2=1 w0=0 w1=0 w2=1

answer: 40.95

step-by-step explanation:

(a) common ratio in the given sequence is, 3

(b) push ups will do kendall do on the 20th week

step-by-step explanation:

geometric sequence is a sequence of numbers that follows a pattern were the next term is found by multiplying by a constant called the common ratio(r)

(a)

given the sequence: 6 , 18 , 54 , 162 ,

this sequence is geometric sequence where each term is 3 times the previous term.

therefore,

common ratio(r) = 3.

(b)

a formula for nth term of geometric sequence is given by;

,   where r is the common ratio between the successive terms and is the first term,

to find how many push ups will kendall do on the 20th week.

here. n = 20th term.

in the given sequence first term

then;

simplify:

therefore, push ups will do kendall do on the 20th week