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Performance of such classification models mostly depends on features used to represent samples in a training dataset.
Before that, a training dataset is established, which contains a mass of pattern elements with various blurring and distortions.
The first eleven years' data were used as a training dataset and the second eleven years' data were used as a testing dataset.
Models were developed with a training dataset that consisted of data from 2008 to 2011; they were then independently validated with a test dataset from 2012.
We will make a training dataset and see how well a new machine-learning program is able to automatically identify individuals of the same species.
We thus performed 350 independent model runs with a training dataset representing a random subset of 80% of the occurrences and the optimal Maxent parameters.
Typically published literature has focused on optimizing ANN using a training dataset to train the network and a testing dataset to evaluate it.
The MARS model is initially developed from a training dataset generated by a finite set of computationally complex hydrothermal models applied to the prospect.
The approach feasibility is demonstrated by using a training dataset of computer tomography scans from British subjects aged 25 106 years (75 male and 34 female).
The sinkhole-extraction random forest was grown on a training dataset built from an area where LiDAR-derived depressions were manually classified through a visual inspection and field verification process.
It surpasses the accuracy of the Random Forest model with raw elemental compositions as input even at a training dataset size of 550, and the Random Forest model with physical attributes for all training dataset sizes exceeding 3500.
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