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tPERSEVERE was redesigned using the training set and CART methodology.
The Learning algorithm was built using the training set and evaluated with the test set.
A support vector machine learning algorithm was used to train the model using the training set.
Then the algorithm was updating the parameters iteratively until convergence, by using the training set Tr.
Then k decision trees are grown using the training set and k random initialization seeds.
We train our CRF model and tune parameters of the Heuristic method using the training set.
Using the training set objects, BP-ANN is trained by back propagation of errors.
The models were built using the training set molecules and subsequently validated by test set molecules.
The multivariate calibrations were obtained by measuring the zero-order absorbance from 220 to 320 nm using the training set.
Congeners of this set are well suited for validation of QSAR models developed using the training set.
A model is trained using the training set and then used against the test set to get the predictions.
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