function?err?=?boost_error（boostxy）

N?=?length（y）;
T?=?length（boost.alpha）;
?err?=?0;
for?i=1:N
????
???s?=?0;
????for?t=1:T
????????s?=?s?+?boost.alpha（t）*stump_predict（x（:i）boost.stump{t}）;
????end
????
????if?s?>?0
????????h?=?1;
????else?
????????h?=?-1;
????end
????
????if??h~=?y（i）
????????err?=?err?+?1;
????end
end

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2013-08-30?05:49??adaboost_stumb\
?????文件????????5424??2013-08-30?05:44??adaboost_stumb\errorVSweak.png
?????文件???????10888??2013-08-30?05:42??adaboost_stumb\trainingresult.png
?????文件???????10888??2013-08-30?05:42??adaboost_stumb\trainingdata.png
?????文件????????3016??2013-08-30?05:45??adaboost_stumb\demo_adaboost.m
?????文件?????????401??2013-08-26?10:01??adaboost_stumb\FindGuassianModel.m
?????文件?????????615??2013-08-26?09:43??adaboost_stumb\FindModelError.m
?????文件?????????331??2013-08-24?09:01??adaboost_stumb\boost_error.m
?????文件?????????473??2013-08-30?03:35??adaboost_stumb\stump_predict.m
?????文件????????1793??2013-08-30?03:34??adaboost_stumb\stump_train.m
?????文件????????3114??2013-08-26?10:01??adaboost_stumb\demo_adaboost_gaussian.m