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- Generalization_error abstract "In supervised learning applications in machine learning and statistical learning theory, generalization error (also known as the out-of-sample error) is a measure of how accurately an algorithm is able to predict outcome values for previously unseen data. Because learning algorithms are evaluated on finite samples, the evaluation of a learning algorithm may be sensitive to sampling error. As a result, measurements of prediction error on the current data may not provide much information about predictive ability on new data. Generalization error can be minimized by avoiding overfitting in the learning algorithm. The performance of a machine learning algorithm is measured by plots of the generalization error values through the learning process and are called learning curve.".
- Generalization_error wikiPageID "2456249".
- Generalization_error wikiPageLength "11667".
- Generalization_error wikiPageOutDegree "17".
- Generalization_error wikiPageRevisionID "702824143".
- Generalization_error wikiPageWikiLink Algorithm.
- Generalization_error wikiPageWikiLink Bias–variance_tradeoff.
- Generalization_error wikiPageWikiLink Category:Classification_algorithms.
- Generalization_error wikiPageWikiLink Cross-validation.
- Generalization_error wikiPageWikiLink Cross-validation_(statistics).
- Generalization_error wikiPageWikiLink Learning_curve.
- Generalization_error wikiPageWikiLink Loss_function.
- Generalization_error wikiPageWikiLink Machine_learning.
- Generalization_error wikiPageWikiLink Overfitting.
- Generalization_error wikiPageWikiLink Regularization.
- Generalization_error wikiPageWikiLink Sampling_error.
- Generalization_error wikiPageWikiLink Stability_(learning_theory).
- Generalization_error wikiPageWikiLink Statistical_learning_theory.
- Generalization_error wikiPageWikiLink Supervised_learning.
- Generalization_error wikiPageWikiLink File:RegressionOverfitting.png.
- Generalization_error wikiPageWikiLinkText "Generalization error".
- Generalization_error wikiPageWikiLinkText "generalization error".
- Generalization_error wikiPageWikiLinkText "generalization".
- Generalization_error wikiPageUsesTemplate Template:Reflist.
- Generalization_error wikiPageUsesTemplate Template:See_also.
- Generalization_error subject Category:Classification_algorithms.
- Generalization_error hypernym Measure.
- Generalization_error type Software.
- Generalization_error type Algorithm.
- Generalization_error type Thing.
- Generalization_error comment "In supervised learning applications in machine learning and statistical learning theory, generalization error (also known as the out-of-sample error) is a measure of how accurately an algorithm is able to predict outcome values for previously unseen data. Because learning algorithms are evaluated on finite samples, the evaluation of a learning algorithm may be sensitive to sampling error.".
- Generalization_error label "Generalization error".
- Generalization_error seeAlso Overfitting.
- Generalization_error seeAlso Statistical_learning_theory.
- Generalization_error sameAs Q5362437.
- Generalization_error sameAs m.07fcmg.
- Generalization_error sameAs Q5362437.
- Generalization_error sameAs 泛化误差.
- Generalization_error wasDerivedFrom Generalization_error?oldid=702824143.
- Generalization_error isPrimaryTopicOf Generalization_error.
