Question

Given an ensemble of 7 binary classifiers, each of which has an error rate of $e = 0.25$. Assuming that base classifiers are independent and the final prediction is made based on voting classifier, estimate the error rate of the ensemble classifier. [5M]

Name: Given an ensemble of 7 binary classifiers, each of which has an error rate of e = 0.25. Assuming that base classifiers are independent and the final prediction is made based on voting classifier, estimate the error rate of the ensemble classifier. [5M]
Uploaded: 2023-08-13T17:45:16-08:00
Duration: 1 min 36 s
Channel: Madhur L
Description: Given an ensemble of 7 binary classifiers, each of which has an error rate of e = 0.25. Assuming that base classifiers are independent and the final prediction is made based on voting classifier, estimate the error rate of the ensemble classifier. [5M]

          Given an ensemble of 7 binary classifiers, each of which has an error rate of $e = 0.25$. Assuming that base classifiers are independent and the final prediction is made based on voting classifier, estimate the error rate of the ensemble classifier. [5M]

Given an ensemble of 7 binary classifiers, each of which has an error rate of e = 0.25. Assuming that base classifiers are independent and the final prediction is made based on voting classifier, estimate the error rate of the ensemble classifier. [5M]

Added by Stephanie P.

Computer Science and Information Technology

Trishna Knowledge Systems 2018 Edition

Instant Answer

Solved by Expert Madhur L

08/13/2023

Step 1

Step 1: If the base classifiers are independent, it means that the error rate of each base classifier is also independent. Show more…

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Assuming that base classifiers are independent and the final prediction is made based on voting classifier,estimate the error rate of the ensemble classifier. [5M]