Assume We Are Combining Three Classifiers That Classify A #231
Assume we are combining three classifiers that classify a training sample and the probabilities are given in the table. Given that it assigns equal weights to all classifiers w1=1, w2=1, w3=1. What is the class of the samples using weighted majority voting?</p> <table style="width: 65%"> <tr> <td> </td> <td>Class label 0</td> <td>Class label 1</td> <td>Class label 2</td> </tr> <tr> <td>Classifier 1</td> <td>0.3</td> <td>0.5</td> <td>0.2</td> </tr> <tr> <td>Classifier 2</td> <td>0.4</td> <td>0.3</td> <td>0.3</td> </tr> <tr> <td>Classifier 3</td> <td>0.2</td> <td>0.4</td> <td>0.4</td> </tr> </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 Ensemble Learning - Ensemble Learning - Quiz No.1.
Assume we are combining three classifiers that classify a training sample and the probabilities are given in the table. Given that it assigns equal weights to all classifiers w1=1, w2=1, w3=1. What is the class of the samples using weighted majority voting?
| Class label 0 | Class label 1 | Class label 2 | |
| Classifier 1 | 0.3 | 0.5 | 0.2 |
| Classifier 2 | 0.4 | 0.3 | 0.3 |
| Classifier 3 | 0.2 | 0.4 | 0.4 |
Class 0
Class 1
Class 2
New class
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