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The data are split into two sets: a training data set and a validating data set.
When the data are split into twenty clusters, the errors do not decrease with distance from source but remain constant.
It suggests that one cannot estimate the (low) returns to overeducation correctly unless the data are split into broad qualifications groups.
For the purpose of training and generating the wind power forecast, the data are split into a training period (January 1st to July 30st, 2012) and a testing period (August 1st, 2012 to August 31st , 2012.
In every individual regression tree, the data are split at each node until all objects are in a single leaf.
They were then tested on samples the event prevalence of which was far below 50% thus yielding estimates that were less efficient than the standard holdout estimator in which the data are split at random.
Similar(47)
The data were split into three categories: training of the algorithms (685 patients), validation (172 patients) and test (150 patients).
When the data was split based on dorsal and ventral subregions, similar effects were seen in both subregions.
The data is split by filename, with portions of data from each source in each of the train, development, and test data sets.
The data was split into fragments that could be written very reliably, and was accompanied by an address book listing where to find each code section.
It is designed to detect hospital acquired infections even in a situation where only a restricted amount of clinical data is available (the data is split up in different information systems).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com