Overfit data has high bias. Is it True or false ?
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Answer:
true , outfit data has high bias
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Overfit data has high bias is a false statement.
Explanation:
- Overfitting is an outcome of an analysis that is related too exactly or closely to a particular group of data and may fail to fit extra information. It is a statistical model that has more parameters that can be verified by the data.
- The nature of overfitting is to have abruptly collected some of the residual variations. The overfitting from high variance contains low bias.
Learn more about overfit
For an overfit data set the cross validation error will be much bigger than the training error.
https://brainly.in/question/7043071
Difference between overfitting and underfitting in machine learning
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