What is Overfitting in ML/DL and how can we overcome this.

Overfitting in ML/DL
Source:en.wikipedia.org
  1. It fails to capture the trends in the data.
  2. High error rate.
  3. Possible underfitting on the dataset.
  1. It usually has noise in the data.
  2. More complex models.
  3. Possible overfitting on the dataset.
Source:en.wikipedia.org
Description of error in ML model
  1. Cross-validation:
Source:en.wikipedia.org
  1. Lasso Regression:
Source:geeksforgeeks.com
Source:geeksforgeeks.com
Source:en.wikipedia.org
Source:en.wikipedia.org

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