The classification principle of Bias classifier is to calculate the posterior probability by using Bias's formula through the prior probability of an object, that is, the probability that the object belongs to a certain class, and select the class with the largest posterior probability as the class of the object.

Filename	Size	Update
贝叶斯\Debug\BuildLog.htm	8942	2015-04-13
贝叶斯\Debug\Dining2.exe	528384	2015-04-13
贝叶斯\Debug\Dining2.exe.embed.manifest	146	2015-04-13
贝叶斯\Debug\Dining2.exe.embed.manifest.res	212	2015-04-13
贝叶斯\Debug\Dining2.exe.intermediate.manifest	145	2015-04-13
贝叶斯\Debug\Dining2.ilk	821880	2015-04-13
贝叶斯\Debug\main.obj	779344	2015-04-13
贝叶斯\Debug\mt.dep	65	2015-04-13
贝叶斯\Debug\vc60.idb	91136	2012-05-27
贝叶斯\Debug\vc60.pdb	143360	2012-05-27
贝叶斯\Debug\vc80.idb	175104	2015-04-13
贝叶斯\Debug\vc80.pdb	192512	2015-04-13
贝叶斯\Dining2.dsp	4413	2012-05-27
贝叶斯\Dining2.dsw	539	2012-05-27
贝叶斯\Dining2.ncb	1125376	2017-05-18
贝叶斯\Dining2.opt	48640	2012-05-27
贝叶斯\Dining2.plg	248	2012-05-27
贝叶斯\Dining2.suo	2560	2017-05-18
贝叶斯\Dining2.vcproj	5227	2015-04-13
贝叶斯\Dining2.vcproj.USER-20140927YP.Administrator.user	1427	2015-04-13
贝叶斯\main.cpp	2168	2012-05-27
贝叶斯\result.txt	112	2012-05-27
贝叶斯\source.txt	470	2012-05-27
贝叶斯\Debug
贝叶斯

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