当前位置:网站首页>[machine learning notes] how to solve over fitting and under fitting
[machine learning notes] how to solve over fitting and under fitting
2022-07-05 13:49:00 【Weichi Begonia】
1. How to solve the problem of over fitting :
- simplified model : Models with fewer parameters can be selected , It can also reduce the number of attributes in the training data , Or constraint model
- Collect more training data
- Reduce the noise in the training data ( for example , Fix data errors and eliminate outliers )
2. How to solve the problem of under fitting :
- Choose one with more parameters , A more powerful model
- Provide better feature sets for learning algorithms
- Reduce constraints in the model ( for example : Reduce regularization hyperparameters )
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