Frixxxx
Moderator
- Reaction score
- 130
Word of the day: Overfitting
In statistics and machine learning, overfitting occurs when a statistical model describes random error or noise instead of the underlying relationship. Overfitting generally occurs when a model is excessively complex, such as having too many parameters relative to the number of observations. A model which has been overfit will generally have poor predictive performance, as it can exaggerate minor fluctuations in the data.
Because of some of the stock predicting/ forex models and suggestions I've seen lately. I'd thought I'd share.........Reason being, I think some companies are using this to pad their future earnings/sales.
In statistics and machine learning, overfitting occurs when a statistical model describes random error or noise instead of the underlying relationship. Overfitting generally occurs when a model is excessively complex, such as having too many parameters relative to the number of observations. A model which has been overfit will generally have poor predictive performance, as it can exaggerate minor fluctuations in the data.
Because of some of the stock predicting/ forex models and suggestions I've seen lately. I'd thought I'd share.........Reason being, I think some companies are using this to pad their future earnings/sales.