Suppose K 3 And The Data Point As 3nearestneighbours From The #497
Suppose k = 3 and the data point A’s 3-nearest-neighbours from the dataset are instances X, Y and Z. The table shows their classes and the distances computed. Then A’s predicted class using inverse distance weighted voting will be ‘Good’?</p> <table style="width: 60%"> <tr> <td>Neighbor</td> <td>Class</td> <td>Distance</td> </tr> <tr> <td>X</td> <td>Good</td> <td>0.1</td> </tr> <tr> <td>Y</td> <td>Bad</td> <td>0.3</td> </tr> <tr> <td>Z</td> <td>Bad</td> <td>0.5</td> </tr> </table>
This multiple choice question (MCQ) is related to the book/course
gs gs126 Neural Networks.
It can also be found in
gs gs126 Nearest Neighbor - K-Nearest Neighbor Algorithm - Quiz No.1.
Suppose k = 3 and the data point A’s 3-nearest-neighbours from the dataset are instances X, Y and Z. The table shows their classes and the distances computed. Then A’s predicted class using inverse distance weighted voting will be ‘Good’?
| Neighbor | Class | Distance |
| X | Good | 0.1 |
| Y | Bad | 0.3 |
| Z | Bad | 0.5 |
True
False
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