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- Overfitting abstract "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 that has been overfit will generally have poor predictive performance, as it can exaggerate minor fluctuations in the data.The possibility of overfitting exists because the criterion used for training the model is not the same as the criterion used to judge the efficacy of a model. In particular, a model is typically trained by maximizing its performance on some set of training data. However, its efficacy is determined not by its performance on the training data but by its ability to perform well on unseen data. Overfitting occurs when a model begins to "memorize" training data rather than "learning" to generalize from trend. As an extreme example, if the number of parameters is the same as or greater than the number of observations, a simple model or learning process can perfectly predict the training data simply by memorizing the training data in its entirety, but such a model will typically fail drastically when making predictions about new or unseen data, since the simple model has not learned to generalize at all.The potential for overfitting depends not only on the number of parameters and data but also the conformability of the model structure with the data shape, and the magnitude of model error compared to the expected level of noise or error in the data.Even when the fitted model does not have an excessive number of parameters, it is to be expected that the fitted relationship will appear to perform less well on a new data set than on the data set used for fitting. In particular, the value of the coefficient of determination will shrink relative to the original training data.In order to avoid overfitting, it is necessary to use additional techniques (e.g. cross-validation, regularization, early stopping, pruning, Bayesian priors on parameters or model comparison), that can indicate when further training is not resulting in better generalization. The basis of some techniques is either (1) to explicitly penalize overly complex models, or (2) to test the model's ability to generalize by evaluating its performance on a set of data not used for training, which is assumed to approximate the typical unseen data that a model will encounter.".
- Overfitting thumbnail Overfit.png?width=300.
- Overfitting wikiPageExternalLink overfitting-when-accuracy-measure-goes-wrong.html.
- Overfitting wikiPageExternalLink cse546wi12LinearRegression.pdf.
- Overfitting wikiPageExternalLink node16.html.
- Overfitting wikiPageExternalLink overtraining.
- Overfitting wikiPageID "173332".
- Overfitting wikiPageLength "7705".
- Overfitting wikiPageOutDegree "30".
- Overfitting wikiPageRevisionID "681217384".
- Overfitting wikiPageWikiLink Algorithm.
- Overfitting wikiPageWikiLink Bayes_factor.
- Overfitting wikiPageWikiLink Bayesian_model_comparison.
- Overfitting wikiPageWikiLink Bias–variance_tradeoff.
- Overfitting wikiPageWikiLink Category:Machine_learning.
- Overfitting wikiPageWikiLink Category:Regression_analysis.
- Overfitting wikiPageWikiLink Category:Statistical_inference.
- Overfitting wikiPageWikiLink Causal_relation.
- Overfitting wikiPageWikiLink Causal_structure.
- Overfitting wikiPageWikiLink Coefficient_of_determination.
- Overfitting wikiPageWikiLink Cross-validation_(statistics).
- Overfitting wikiPageWikiLink Curve_fitting.
- Overfitting wikiPageWikiLink Data_dredging.
- Overfitting wikiPageWikiLink Early_stopping.
- Overfitting wikiPageWikiLink Function_approximation.
- Overfitting wikiPageWikiLink Inductive_bias.
- Overfitting wikiPageWikiLink Journal_of_Chemical_Information_and_Modeling.
- Overfitting wikiPageWikiLink Linear_regression.
- Overfitting wikiPageWikiLink Machine_learning.
- Overfitting wikiPageWikiLink Model_error.
- Overfitting wikiPageWikiLink Observational_error.
- Overfitting wikiPageWikiLink Occams_razor.
- Overfitting wikiPageWikiLink Parameter.
- Overfitting wikiPageWikiLink Predictive_inference.
- Overfitting wikiPageWikiLink Prior_distribution.
- Overfitting wikiPageWikiLink Prior_probability.
- Overfitting wikiPageWikiLink Pruning_(algorithm).
- Overfitting wikiPageWikiLink Pruning_(decision_trees).
- Overfitting wikiPageWikiLink Random_error.
- Overfitting wikiPageWikiLink Regularization_(mathematics).
- Overfitting wikiPageWikiLink Shrinkage_(statistics).
- Overfitting wikiPageWikiLink Statistical_model.
- Overfitting wikiPageWikiLink Statistics.
- Overfitting wikiPageWikiLink File:Overfit.png.
- Overfitting wikiPageWikiLink File:Overfitting_svg.svg.
- Overfitting wikiPageWikiLinkText "Overfitting (machine learning)".
- Overfitting wikiPageWikiLinkText "Overfitting".
- Overfitting wikiPageWikiLinkText "excessive number of parameters".
- Overfitting wikiPageWikiLinkText "over-fit".
- Overfitting wikiPageWikiLinkText "over-fitted".
- Overfitting wikiPageWikiLinkText "over-trained".
- Overfitting wikiPageWikiLinkText "overfit".
- Overfitting wikiPageWikiLinkText "overfits".
- Overfitting wikiPageWikiLinkText "overfitted".
- Overfitting wikiPageWikiLinkText "overfitting".
- Overfitting wikiPageWikiLinkText "robust machine learning".
- Overfitting hasPhotoCollection Overfitting.
- Overfitting wikiPageUsesTemplate Template:Cite_journal.
- Overfitting wikiPageUsesTemplate Template:Refimprove.
- Overfitting wikiPageUsesTemplate Template:Reflist.
- Overfitting subject Category:Machine_learning.
- Overfitting subject Category:Regression_analysis.
- Overfitting subject Category:Statistical_inference.
- Overfitting type Article.
- Overfitting type Model.
- Overfitting type Type.
- Overfitting type Article.
- Overfitting type Econometric.
- Overfitting type Model.
- Overfitting type Type.
- Overfitting comment "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.".
- Overfitting label "Overfitting".
- Overfitting sameAs Überanpassung.
- Overfitting sameAs Sobreajuste.
- Overfitting sameAs بیشبرازش.
- Overfitting sameAs Surapprentissage.
- Overfitting sameAs Overfitting.
- Overfitting sameAs 過剰適合.
- Overfitting sameAs Nadmierne_dopasowanie.
- Overfitting sameAs Sobreajuste.
- Overfitting sameAs m.017chx.
- Overfitting sameAs Переобучение.
- Overfitting sameAs Overfitting.
- Overfitting sameAs Q331309.
- Overfitting sameAs Q331309.
- Overfitting sameAs 過適.
- Overfitting wasDerivedFrom Overfitting?oldid=681217384.
- Overfitting depiction Overfit.png.
- Overfitting isPrimaryTopicOf Overfitting.