Sentence examples for partition of training from inspiring English sources

The algorithm employs a partition of training examples into several classes according to the average grey scale value of images.

To make sure the great performances of SMO are not specific to a certain partition of training and independent test datasets, we randomly divided the training (85%% of the samples) and independent test (15%% of the samples) datasets for 30 times and for each time, the training and test processes were repeated.

As shown in this table, the mean accuracies were close to the accuracies of SMO in Table  2 and the standard deviations were very small which indicated that the partition of training and independent test datasets does not affect the prediction performance.

The mean accuracies were close to the accuracies of SMO in Table  2 and the standard deviations were very small which indicated that the partition of training and independent test datasets does not affect the prediction performance.> However, the best SMO model requires too many features.

Pages TPFMA and ERSCA of MAPA detect the partition of train 1118 at location 3,001 and instruct to apply the emergency brake.

Extensive analysis is conducted in order to assess the significance of the features employed, the partitioning of training data and the complexity of the architecture.

Trees are grown based on recursive partitioning of training data consisting of multiple features for each object, the objects here being compounds.

Special emphasis is thereby laid on sticking to real world conditions by absence of any preselection of "friendly" cases either by considering only music with majority agreement of annotators and random partitioning of train and test instances.

The influence of the partition of the training and validation dataset on the model error is also discussed.

The optimal partition of the training data into construction data and validation data depends, among other things, on the unknown complexity of the true model.

The voting process was repeated 20 times to reduce the bias caused by random partition of the training samples.