Keywords

#overfitting

Overfitting

Flaw in mathematical modelling

In mathematical modeling, overfitting is "the production of an analysis that corresponds too closely or exactly to a particular set of data, and may therefore fail to fit to additional data or predict future observations reliably". An overfitted model is a mathematical model that contains more parameters than can be justified by the data. In a mathematical sense, these parameters represent the degree of a polynomial. The essence of overfitting is to have unknowingly extracted some of the residual variation as if that variation represented underlying model structure.

Thu 4th

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Overfitting Early stopping Machine learning Generalization error Supervised learning Bias–variance tradeoff Statistical learning theory Convolutional neural network Training, validation, and test data sets Regularization (mathematics)
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