Sentence examples for models which overfit from inspiring English sources

This makes complex models which overfit less likely.

They may give complex concepts which overfit the training datasets and poorly classify new objects.

However, with the advent of cloud computing, new concern is that its extensive use in cross-validation will generate statistical models which will overfit in practice.

We did not attempt a nonlinear model, which would likely have overfitted data from our small sample size.

Excessively complex models tend to overfit, which means they show an error on the training data significantly lower than on the testing data.

The most extreme example was the Overfit-Regional absences-86 model, which associated one occupied locality with a suitability score of 0.003.

However, it is possible that the model may be overfitted, which means that a small change to the dataset could make the network structure change dramatically.

Kinetic models can overfit the data leading to poor generalizability.

Overparameterized models tend to overfit the data and, when comparing models with different dimension, it is necessary to counterbalance model fit and model parsimony by adding a penalty term that depends on the number of parameters.

A possible explanation for the too high regression coefficients in Table 4 is that the models overfit the data.

Prediction models tend to overfit the development sample, and the predictive validity of these variables should be tested in other, larger samples.