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We use the training set to learn the parameters of the model and use the test set to evaluate the goodness of the model.
We use the test set for the evaluation in the following.
Then, we use the test set to estimate the performance of the classifier, considering the selected features and the settings learned during the training phase.
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The predictive ability of the models was validated using the test set of 10 compounds that were not included in the training set of 51 compounds.
All decision parameters are trained using the training set, while all the experimental results are obtained using the test set.
We evaluated the accuracy of the method using the test set after an instance in the learning group is input.
It splits the content of the input file into training and test sets, creates a simplified solubility model, and tests the model using the test set.
The linear SVM is trained based on the training set by tenfold cross-validation strategy and tested using the test set.
For validation and testing of program we used the test set created on the basis of information presented in "The Top 100 Drug Interaction 2006 H&H Publications".
In this work, we only used the test set, containing 3000 abstracts, since the training set and the development set were used for training tmChem.
The classification models were generated using the training set of compounds followed by the validation of the best model using the test set of compounds [35].
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