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- Generalization_error abstract "The generalization error of a machine learning model is a function that measures how well a learning machine generalizes to unseen data. It is measured as the distance between the error on the training set and the test set and is averaged over the entire set of possible training data that can be generated after each iteration of the learning process. It has this name because this function indicates the capacity of a machine that learns with the specified algorithm to infer a rule (or generalize) that is used by the teacher machine to generate data based only on a few examples.The theoretical model assumes a probability distribution of the examples, and a function giving the exact target.The model can also include noise in the example (in the input and/or target output).The generalization error is usually defined as the expected value of the square of the difference between the learned function and the exact target (mean-square error).In practical cases, the distribution and target are unknown; statistical estimates are used.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.The generalization error of a perceptron is the probability of the student perceptron to classify an example differently from the teacher and is given by the overlap ofthe student and teacher synaptic vectors and is a function of their scalar product.".
- Generalization_error wikiPageID "2456249".
- Generalization_error wikiPageLength "3834".
- Generalization_error wikiPageOutDegree "13".
- Generalization_error wikiPageRevisionID "672663710".
- Generalization_error wikiPageWikiLink Algorithm.
- Generalization_error wikiPageWikiLink Bias-variance_dilemma.
- Generalization_error wikiPageWikiLink Bias–variance_tradeoff.
- Generalization_error wikiPageWikiLink Category:Classification_algorithms.
- Generalization_error wikiPageWikiLink Dot_product.
- Generalization_error wikiPageWikiLink Function_(mathematics).
- Generalization_error wikiPageWikiLink Generalization.
- Generalization_error wikiPageWikiLink Generalization_(logic).
- Generalization_error wikiPageWikiLink Hasty_generalization.
- Generalization_error wikiPageWikiLink Learning_curve.
- Generalization_error wikiPageWikiLink Machine_learning.
- Generalization_error wikiPageWikiLink Perceptron.
- Generalization_error wikiPageWikiLink Problem_of_induction.
- Generalization_error wikiPageWikiLink Scalar_product.
- Generalization_error wikiPageWikiLink Synaptic_vectors.
- Generalization_error wikiPageWikiLinkText "Generalization error".
- Generalization_error wikiPageWikiLinkText "generalization error".
- Generalization_error wikiPageWikiLinkText "generalization".
- Generalization_error hasPhotoCollection Generalization_error.
- Generalization_error wikiPageUsesTemplate Template:Robo-stub.
- Generalization_error subject Category:Classification_algorithms.
- Generalization_error hypernym Function.
- Generalization_error type Article.
- Generalization_error type ProgrammingLanguage.
- Generalization_error type Algorithm.
- Generalization_error type Article.
- Generalization_error comment "The generalization error of a machine learning model is a function that measures how well a learning machine generalizes to unseen data. It is measured as the distance between the error on the training set and the test set and is averaged over the entire set of possible training data that can be generated after each iteration of the learning process.".
- Generalization_error label "Generalization error".
- Generalization_error sameAs m.07fcmg.
- Generalization_error sameAs Q5362437.
- Generalization_error sameAs Q5362437.
- Generalization_error sameAs 泛化误差.
- Generalization_error wasDerivedFrom Generalization_error?oldid=672663710.
- Generalization_error isPrimaryTopicOf Generalization_error.