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Screenshot taken from Coursera
Answer
$F(x_i) = sign(w_1 f_1(x_i) + w_2 f_2(x_i) + w_3 f_3(x_i) + w_4 f_4(x_i)$
$ = sign(0.61\times(+1) + 0.53\times(-1) + 0.88\times(-1) + 0.34\times(+1))$
$ = sign(-0.46)$
$ => \hat y_i = -1 $
Screenshot taken from Coursera
Screenshot taken from Coursera
Screenshot taken from Coursera
Answer
$$\frac{1}{2} ln\big(\frac{1 - \text{weighted_error}(f_t)}{\text{weighted_error}(f_t)} \big)$$$$= \frac{1}{2} ln\big(\frac{1 - 0.25}{0.25} \big)$$$$= 0.55$$Screenshot taken from Coursera
Screenshot taken from Coursera
Answer
Screenshot taken from Coursera
Screenshot taken from Coursera
Screenshot taken from Coursera
Screenshot taken from Coursera