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LightML.jl
Minimal and clean examples of machine learning algorithms implemented in Julia
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normalize `err`
#7
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szcf-weiya
closed
6 years ago
szcf-weiya
commented
7 years ago
err
need to be normalized. In AdaBoost algorithm, $err_m = \frac{\sum w_i I(y_i\neq G_m(x_i))}{\sum w_i}$;
this might be a typo,
1 - 0.5
should be
1 - err
.
err
need to be normalized. In AdaBoost algorithm, $err_m = \frac{\sum w_i I(y_i\neq G_m(x_i))}{\sum w_i}$;1 - 0.5
should be1 - err
.