πŸ“Š Machine Learning
Q. Suppose there are 25 base classifiers. Each classifier has error rates of e = 0.35. Suppose you are using averaging as ensemble technique. What will be the probabilities that ensemble of above 25 classifiers will make a wrong prediction? Note: All classifiers are independent of each other
  • (A) 0.05
  • (B) validation data
  • (C) 0.07
  • (D) 0.09
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βœ… Correct Answer: (B) validation data

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