Sentence examples for data splitting algorithm from inspiring English sources

Moreover, Kennard Stone data splitting algorithm contributed to significant model performance enhancement.

Here, we highlight the influence of the data splitting algorithm on assessing the predictivity.

Subsequently, for model development, the advantage of algorithm based data splitting over random selection is presented.

The best relay is selected with a splitting algorithm.

A Strang splitting algorithm is used for higher-dimensional problems.

That leads to the filling and splitting algorithm shown in Additional file 1; Table S3.

For each labeled/unlabeled data split, we execute an algorithm for 10 runs by randomly selecting data split, and report the performance (mean and standard deviation) over 10 runs for the algorithms.

For each labeled/unlabeled data split, we execute an algorithm for 10 runs (we have also try 50 runs, the results are similar), and report the performance (mean and standard deviation) over 10 runs for each algorithm.

For each algorithm and data split, the model is produced based on training and validation sets.

For each percentage, we execute each algorithm 10 times by randomly selecting the label/unlabel data split from the dataset.

The Random Forest classification algorithm (Liaw and Weiner, 2002) selecting 10 random variables at each data split and growing 50 000 trees was used to assess the classification ability of the profile, and identified differentially expressed peaks.