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Using KNN method, predict the most likely performance for a new part-time staff with personality grade 3 and motivation grade 3. Use Euclidean distance to measure the distance in your answer. Determine your answer using K=1 and K=3. Compare and comment on your answer.

Using KNN method, predict the most likely performance for a new part-time staff with personality grade 3 and motivation grade 3. Use Euclidean distance to measure the distance in your answer. Determine your answer using K=1 and K=3. Compare and comment on your answer.

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Following the machine learning task in Question 1(d), a simplified version of the dataset can be represented by Table Q3. The dataset contains eight items
representing the performance of a staff based on their personality grade (X) and motivation grade (Y).

[Table Q3: Performance of a staff based on their personality grade (X) and
motivation grade (Y)]

Using KNN method, predict the most likely performance for a new part-time staff with personality grade 3 and motivation grade 3. Use Euclidean distance to measure the distance in your answer. Determine your answer using K=1 and K=3. Compare and comment on your answer. 

X 1 1 2 4455WN 3 4 Y Staff Performance 1 355 3 5 5 1 4 3 4 Poor Excellent Satisfactory Excellent Satisfactory Poor Satisfactory Excellent
Transcribed Image Text:X 1 1 2 4455WN 3 4 Y Staff Performance 1 355 3 5 5 1 4 3 4 Poor Excellent Satisfactory Excellent Satisfactory Poor Satisfactory Excellent
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