Sentence examples for partitioning of training from inspiring English sources

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

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.

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 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.

Likewise, the same partitioning method of training and testing, and number of speakers, was applied to both additional databases SITW and NIST 2008.

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

It is common to repeat steps (4) to (7) with different partitioning of the training and test sets in order to achieve better generalization with the recognition models.  .

Variations on forecast analysis exist depending on the types of the models, the needs of the field, partitioning of the training and test sets and the types of the measures that are used to assess the amount of prediction error [ 30].