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Table 1 below shows a set of patterns P 1 - P 2 0 , drawn from two classes C 1 and C 2 ,

Table 1 below shows a set of patterns P1- P20, drawn from two classes C1 and C2, and of known class membership. Each pattern is defined in terms of two pattern features x1 and x2, whose measured values are shown. The linear discriminant decision rule below has been suggested for the classification task.
d(x)=8x1-7x2-10.8
if d(x)0, assign x to C1;
otherwise, assign x to C2
(a) Using the samples (P1- P20) from the Table as your test data, graphically or otherwise, determine the classification error rate of this classifier.
(b) Suggest a different linear discriminant decision rule that will reduce the error rate.
Table 1
\table[[\table[[Pattern],[number]],Class,x1,x2,\table[[Pattern],[number]],Class,x1,x2],[P1,C1,3.2,1.4,P11,C2,3.3,2.1],[P2,C1,3.2,1.7,P12,C2,2.7,1.9],[P3,C1,3.1,1.5,P13,C2,3.0,2.1],[P4,C1,2.3,1.3,P14,C2,2.9,1.8],[P5,C1,2.9,1.5,P15,C2,3.0,2.2],[P6,C1,2.8,1.3,P16,C2,3.0,2.1],[P7,C1,3.3,1.8,P17,C2,2.5,1.6],[P8,C1,2.4,1,P18,C2,2.9,1.8],[P9,C1,2.9,1.3,P19,C2,2.5,1.8],[P10,C1,2.7,1.4,P20,C2,3.6,2.5]]
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