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Obviously, if we use the validation set for this purpose, i.e., as in van Houweliengen's definition [ 41], to update the model, we need a third set for the validation.
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The indices that resulted in estimates with the highest Pearson correlation with the fully delineated ICVs were used to define the methods, which were then validated using the validation set.
The model was internally validated using the validation set.
The models were then validated using the validation set to assess their prediction performance.
The number of factors was optimised using the validation set.
We used the validation set to assess the internal validation of all the three models [45].
A binary tree was built to assign new patients into cluster and evaluated using the validation set.
Other thresholds are set using the validation set by analyzing the maximum values for each GSF.
By using the validation set only, we avoid the overfitting problem described above.
Goodness of fit for the PLS regression model was determined using the validation set.
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