The energy function should be flexible enough without causing overfitting.

Thus, in this case, reducing resolution is a method of controlling overfitting.

Finally, backtesting, like other modeling, is limited by potential overfitting.

If a model fit to the training set also fits the test set well, minimal overfitting has taken place.

Overfitting occurs when a model begins to memorize training data rather than learning to generalize from trend.

That said, the ranking of genes known to be regulated did not change significantly as a result of this overfitting.

The probability of AIC overfitting can be substantial, in some cases.

This approach may suffer from severe overfitting unless we select only the pairs of items for which several users have rated both items.

Comparison of Overfitting and Overtraining, J. Chem.

Overfitting of a larger number of markers to a relatively small number of subjects produces a model that is overly sensitive to chance 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.

The methods for controlling overfitting differ between NPMR and the generalized linear modeling (GLMs).

SVM algorithms categorize multidimensional data, with the goal of fitting the training set data well, but also avoiding overfitting, so that the solution generalizes to new data points.

In these fields, a major emphasis is placed on avoiding overfitting, so as to achieve the best possible performance on an independent test set that follows the same probability distribution as the training set.

Overfitting is a phenomenon in which a learning system, such as a neural network gets very good at dealing with one data set at the expense of becoming very bad at dealing with other data sets.

The overfitting occurs because the model attempts to fit the (stochastic or deterministic) noise (that part of the data that it cannot model) at the expense of fitting that part of the data which it can model.