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5. Recall two linear classification methods we considered: Model 1: y=wTx+bLSE(y,t)=21(yt)2 Model 2: z=wTx+by=(z)LSE(y,t)=21(yt)2 Here, denotes the logistic function (sigmoid function), and the target label
5. Recall two linear classification methods we considered: Model 1: y=wTx+bLSE(y,t)=21(yt)2 Model 2: z=wTx+by=(z)LSE(y,t)=21(yt)2 Here, denotes the logistic function (sigmoid function), and the target label t take values in {0,1}. Briefly explain our reason for preferring Model 2 to Model 1
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