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Your company produces 3D-printed venturi valves used in ventilators. The quality of a printed valves is characterized using three measures (i.e., deviations in product length, tube diameter, and tube wall thickness, where "deviation" means the difference between printed and designed valves). The following dataset is available: Product ID Dev. in length Dev. in diameter Dev. in wall thickness Quality 1 4 3 0.8 High 2 -1 2 0.5 Low 3 -3 -1 -0.3 Low 4 2 3 0.9 High 5 1 -5 1.2 Low 6 3 2 -0.4 High Now, for a new product with three measures as (2, -3, 0.1), determine its quality using KNN approach (try K = 1 and K = 3).

Your company produces 3D-printed venturi valves used in ventilators. The quality of a printed valves is characterized using three measures (i.e., deviations in product length, tube diameter, and tube wall thickness, where "deviation" means the difference between printed and designed valves). The following dataset is available: Product ID Dev. in length Dev. in diameter Dev. in wall thickness Quality 1 4 3 0.8 High 2 -1 2 0.5 Low 3 -3 -1 -0.3 Low 4 2 3 0.9 High 5 1 -5 1.2 Low 6 3 2 -0.4 High Now, for a new product with three measures as (2, -3, 0.1), determine its quality using KNN approach (try K = 1 and K = 3).

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Your company produces 3D-printed venturi valves used in ventilators. The quality of a printed valves is characterized using three measures (i.e., deviations in product length, tube diameter, and tube wall thickness, where "deviation" means the difference between printed and designed valves). The following dataset is available: Product ID Dev. in length Dev. in diameter Dev. in wall thickness Quality 1 4 3 0.8 High 2 -1 2 0.5 Low 3 -3 -1 -0.3 Low 4 2 3 0.9 High 5 1 -5 1.2 Low 6 3 2 -0.4 High Now, for a new product with three measures as (2, -3, 0.1), determine its quality using KNN approach (try K = 1 and K = 3).
Transcribed Image Text:Your company produces 3D-printed venturi valves used in ventilators. The quality of a printed valves is characterized using three measures (i.e., deviations in product length, tube diameter, and tube wall thickness, where "deviation" means the difference between printed and designed valves). The following dataset is available: Product ID Dev. in length Dev. in diameter Dev. in wall thickness Quality 1 4 3 0.8 High 2 -1 2 0.5 Low 3 -3 -1 -0.3 Low 4 2 3 0.9 High 5 1 -5 1.2 Low 6 3 2 -0.4 High Now, for a new product with three measures as (2, -3, 0.1), determine its quality using KNN approach (try K = 1 and K = 3).
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