Sentence examples for split of data from inspiring English sources

Exact(10)

In this paper, we compare the traditional approach of a single split of data into a training set (for classification) and test set (for accuracy assessment), to a resampling framework where the classification and accuracy assessment are repeated many times.

We found that regardless of resampling design, a single split of data into training and test sets results in a large variance in estimates of accuracy and mapped area.

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

They were employed to check on the generalization capability of the trained neural networks and unbiased split of data for linear and nonlinear part of load displacement relationships (Reitermanova 2010).

Adaptive Fuzzy Partition (AFP) modelling used a binary split of data, (sensitisers and non-sensitisers) in which only those compounds classed as "NC" in the original data were deemed to be non-sensitisers.

In the second approach, we performed one thousand random split of data into training and testing data sets.

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RELION16 three-dimensional (3D) classification and refinement using half-split data sets of particles yielded the final map (Figs 1d and 2).

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

The here described concept of a splitting of data processing into two sub-channels implemented into the parallel working chips, the chips synchronization and the automatization of internal processing management, together with the fully pipelined AHDL code became the framework for the further implementation in the environmental condition of the Argentinian pampa.

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.

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