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Please use Euclidean DistanceWeighted KNN (K=3) to predict the output 6. KNN (20 points) Table 5 is a gene expression microarray data, where each row

image text in transcribed Please use Euclidean DistanceWeighted KNN (K=3) to predict the output

6. KNN (20 points) Table 5 is a gene expression microarray data, where each row represents a sample for a person, each column represents a gene, and each entry represents gene expression value of a gene over a sample. The output of each sample indicates whether a specific disease exists in this sample. Please use Euclidean Distance- Weighted KNN (K=3) to predict the output of the sample 11 and sample 12. Output Sample 61 1.0 2 2.0 62 2.3 | 3.6 63 5.2 1.8 64 1.2 2.3 65 5.3 1.6 66 2.6 67 2.3 Yes No 1.5 1.5 4.1 1.3 1.2 Yes 2.2 1.9 9.5 | 1.5 1.5 No 3.9 | 1.7 1.6 Yes 5.1 2.6 1.7 Yes 1.8 13.5 1.6 No 2.3 No Yes 4.2 3.6 2.4 5.6 6.2 1.9 | 4.1 7.1 3.1 2.9 2.5 3.3 3.2 2.6 5.2 Table 5: Gene expression data 10 No G1 G4 " Output Sample G1 11 2.1 12 2.4 G2 2.2 2.3 G3 3.2 3.4 G4 1.4 3.8 G5 5.1 2.3 G6 2.4 5.7 G7 1.4 5.2

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