Sentence examples for splits of data from inspiring English sources

However, the reality is that we work in a non-asymptotic environment and, furthermore, different splits of data between the folds may produce different optimal tuning parameters.

The repeated 10-fold cross-validation estimator of classification performance can be obtained by running regular 10-fold cross-validation procedure 100 times with different splits of data into training and testing sets and reporting the average estimate over all 100 runs.

The repeated 10-fold cross-validation estimator is obtained by running regular 10-fold cross-validation for 100 (or other sufficient number of) times with different splits of data into training and testing sets each time and by reporting the average estimate over all runs.

We performed 1,200 splits of data, where in each split we constructed a test set consisting of one individual and the remaining individuals were used as a training set in order to select PCAIMs and predict the coordinates of the test set sample. Figure 1 and Table 2 summarize the performance of our PCAIM panels over all 1,200 individuals in all test sets.

Finally, the average estimate over all runs was reported by running the above regular 10-fold cross-validation for 100 times with different splits of data.

Out of 1000 random splits of data, age was selected 994, 974 and 971 times using forward, backward and stepwise selecting procedures.

Oracle Partitioning is the splitting of data sets into separate physical files using separate partition table spaces.

The following three definitions describe the horizontal split of data by implementing the grouping method of equivalency in MDSBA.

In this case, multiple iterations of the model selection procedure are performed by varying the splitting of data over the training, validation, and test sets [4].

Pig Latin shell behaves similar to SQL structure and can speed up the MapReduce operations, by grouping, filtering and splitting of data.

In this paper, we introduce a novel framework that implements SQL-like Hadoop ecosystems, incorporating Pig Latin with the additional splitting of data.