Sentence examples for splitting of the data from inspiring English sources

Using other preprocessing methods and multiple random splitting of the data sets obtained the similar results.

The same splitting of the data into training and external set was used as in the previous publications.

Sharding, also known as partitioning, is the splitting of the data based upon the keys; whereas the replication, also known as mirroring, is the copying of the data to the different nodes.

Table 3 Comparison of RAIN with other approaches of splitting data Approach Summary Misgivings Singh et al.[32] A scheme for n-out-of-m secret sharing of data[33] Do not provide an algorithm for the actual splitting of the data to be stored.

This yielded a minimum ratio of active to inactive molecules of roughly 1 to 10, and allowed splitting of the data into a training and a validation set of the same size, and at least two instances of active molecules in each set (cf. "Neural Network Training").

The latter estimator is a variant of the well-known 10-fold cross-validation estimator which is calculated by balanced splitting of the data into 10 non-overlapping sample sets used for testing (while each complementing set is used for training) and averaging the test errors.

The main findings are that only 12% of papers use aspect ratios with vertical scale set approximately equal to horizontal scale (vertical exaggeration in the range 0.8 1.2). 75% of papers use reflection seismic with vertical exaggeration greater than 2. Splits of the data in terms of shallow high resolution seismic and deep, crustal imaging seismic were also obtained.

The ratio 70-30 is often used in data mining for split of the data set (Analysis Services 2017).

We analysed the variation in the prediction performance that results from choosing a different split of the data.

We use a 70/30 split of the data into training and out-of-sample testing sets, and examine the model performance on 100 random permutations of this split.

The NOAA88b global ensemble [38] of over 7,000 profiles was used to produce the training, validation, and testing sets, with an 80-10-10 splithef the data.