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We use the development data in this paper.
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Shrinkage: The model developed using the development data may be vulnerable to overfitting.
All experiments are implemented by first optimizing the methods using the development data and then testing with fivefold cross-validation over the primary dataset.
In order to select the best feature set for this entity recognition task, we followed an iterative elimination approach, starting with the full feature set defined above and using the development data to evaluate models trained on the training data.
This question can be answered in two ways using entomology data: first, using the succession data of insect's taxa that have time and food preferences and are changed based on the stage corpse putrefaction; and second, using the development data of the oldest and largest maggots of the first colonizing species.
During the training step, TEES automatically configures its parameters using the development data set and presents an evaluation of its own for the test set.
Using logistic regression, we created a prediction model and weighted scoring system using the development data set and calculated the odds ratio of chlamydia positivity for participants in successively higher quintiles of score.
Using the development data sets for the three sub-groups, we investigated a comprehensive list of predictors known to be potentially associated with chlamydia infection in an initial model.
In the noisy training, the training data were corrupted by the selected noises, while the development data used for cross validation remained uncorrupted.
The quality of fit of the two models can be compared on the development data using an approximate likelihood cross-validation criterion as in [ 10].
The proposed algorithm can also be used in classification of heterogeneous text corpora into the other domains depending on the used development data.
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