We Have Data From A Survey And Objective Testing With Two #496
We have data from a survey and objective testing with two attributes A and B to classify whether a special paper tissue is good or not. Here are four training samples given in the table. Now the factory produces a new paper tissue that pass laboratory test with A = 3 and B = 7. If K = 3, then ‘Good’ is the classification of this new tissue?</p> <table style="width: 60%"> <tr> <td>A</td> <td>B</td> <td>C = Classification</td> </tr> <tr> <td>7</td> <td>6</td> <td>Bad</td> </tr> <tr> <td>7</td> <td>4</td> <td>Bad</td> </tr> <tr> <td>4</td> <td>4</td> <td>Good</td> </tr> <tr> <td>2</td> <td>4</td> <td>Good</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.
We have data from a survey and objective testing with two attributes A and B to classify whether a special paper tissue is good or not. Here are four training samples given in the table. Now the factory produces a new paper tissue that pass laboratory test with A = 3 and B = 7. If K = 3, then ‘Good’ is the classification of this new tissue?
| A | B | C = Classification |
| 7 | 6 | Bad |
| 7 | 4 | Bad |
| 4 | 4 | Good |
| 2 | 4 | Good |
True
False
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