This may suggest that 15 frames are enough for speech dereverberation, or the DNN3 model is overfitted to the training data as it contains more parameters.
Indeed when n p a r >(t p -1), CKE models are overfitted and parameters are poorly estimated.
The adjusted analyses for the relationship between GlycA and prevalent coronary artery disease should be interpreted with caution because models were overfitted, owing to the relatively small number of patients with RA and prevalent coronary artery disease (N = 17).
When hindcasting to LGM climate conditions indicated no refugia for the two taxa limited to NI (A. cingulata and N. sericea; see below), we re-ran these analyses using NI climate data only for training and testing to examine whether the model for these species was being overfitted by the inclusion of SI data.
Because automated stepwise variable selection procedures generate a model to provide the best fit for the available data, there is the potential that the model will be overfitted and hence provide an optimistic assessment of its predictive ability [ 29].
It is inevitable the model will be overfitted to our population and external validation of the algorithm in other nulliparous populations is essential.
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.
Because models are generated to provide the best fit for the available data, there is the potential that a model will be overfitted and, hence, provide an optimistic assessment of the predictive ability, quantified here by the C statistic (also known as the area under the receiver operating characteristic curve).
To check whether the models are overfit, 10-fold cross validation is performed on the joined test and training sets to derive the mean and standard deviation of 10 correlation coefficients of the cross validation sets (Figures 2, 3). Figure 2 Workflow chart that illustrates how to select the best model for predicting compound activities based on the RF-Score descriptor.
As positives and negatives are from the same pool of articles, the resultant models may be overfitted.
