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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 curves.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 wikiPageRevisionID "585838235".
- Generalization_error hasPhotoCollection Generalization_error.
- Generalization_error subject Category:Classification_algorithms.
- Generalization_error type Abstraction100002137.
- Generalization_error type Act100030358.
- Generalization_error type Activity100407535.
- Generalization_error type Algorithm105847438.
- Generalization_error type ClassificationAlgorithms.
- Generalization_error type Event100029378.
- Generalization_error type Procedure101023820.
- Generalization_error type PsychologicalFeature100023100.
- Generalization_error type Rule105846932.
- Generalization_error type YagoPermanentlyLocatedEntity.
- 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 label "泛化误差".
- Generalization_error sameAs 일반화의_오류.
- Generalization_error sameAs m.07fcmg.
- Generalization_error sameAs Q5362437.
- Generalization_error sameAs Q5362437.
- Generalization_error sameAs Generalization_error.
- Generalization_error wasDerivedFrom Generalization_error?oldid=585838235.
- Generalization_error isPrimaryTopicOf Generalization_error.