Successful sets were those reaching classification accuracy higher than a threshold (80%).
For each experiment, we optimised these parameters by running a grid search using 10-fold cross-validation on the training set so that the highest Matthews correlation coefficient (MCC) and lowest root mean square error (RMSE) were reached for classification and real-value prediction, respectively.
Details about our R-code for input selection can be found in the Additional File 4. Altogether 65 transcripts resulted from four separate SANN/LDA analyses including all genes occurring at least once within the top 50 genes ranked by their frequency in chromosomes, which reached a classification accuracy of 100%.
To control for the difference in mask-size, the number of voxels in the seed mask for which a minimum of 10 samples reached the classification mask (Aron and Poldrack 2006; Aron et al. 2007; Forstmann et al. 2012) was divided by the total number of voxels in the seed mask.
If bathing water has still not reached the classification "good" within three years, it shall be considered as not being in conformity with this Directive.
Although artificial neural network (ANN) usually reaches high classification accuracy, the obtained results sometimes may be incomprehensible.
Objectives To determine whether case studies presented on a completed McKenzie assessment form, commonly used in the McKenzie educational training programme, contain sufficient information to permit a therapist to reach a classification of the patient.
The GVFD status was matched with GON status to reach the classification of definite, probably, possible, or no glaucoma based on the Rotterdam Eye Study criteria.25, 28 Rotterdam Eye Study criteria was used in order for the results of this study to be comparable with other studies on NHANES database.
The problem consists in, given a dataset where each object is described by a set of features, finding a subset of the original features such that a classifier that runs on data containing only these features would reach high classification accuracy.
And after the size of temporal steps reaches 13, classification accuracy becomes rather stable.
This finding suggests that as BMI reaches the classification of obesity, the risk of these adverse outcomes increases.
