Sentence examples for model development datasets from inspiring English sources

For SVM model development, datasets were partitioned into training and test sets consisting of 480 positives/480 negatives and 100 positives/100 negatives respectively.

The analysis was also performed using the model development dataset.

In the second stage, the developed model was validated using data from the Chinchilla and Mecsek Hills sites, which were not used in the model development dataset.

The obtained model development dataset included 939,409 records and the validation dataset included 939,358 records.

No other imputation of dosing information was conducted for the model development dataset.

Missing continuous infusion durations (for two occasions in the model development dataset) were assumed to be 16 h, per protocol.

Prior to analyses, data were randomly divided by study and treatment into: the model development (MD) dataset (70% of data used in the development of the model) and the model validation (MV) dataset (remaining 30% retained for external validation).

The dataset was randomly divided into two datasets using a computer-generated random number: the training dataset for model development and the test dataset for validation of the developed HF risk score.

In both the model development and validation datasets, chlorophyll contents were not low.

Today a wider range of soil properties can be considered for model development (new training datasets) and implementation, as in new digital soil property maps (Adhikari et al., 2013; Arrouays et al., 2014).

There were 1,017 CABG surgeries performed at medical center A and 845 performed at medical center B, with 24 surgical site infections (SSIs) occurring at medical center A and 17 occurring at medical center B. The dataset from medical center A was used for data training (model development), and the dataset from medical center B was used for model verification.