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We perform fivefold cross validation.

For reporter cross-validation, sections were labelled for lacZ, then τ-eGFP.

For reporter cross-validation, sections were labelled for lacZ, then HSV-TK.

The details of the model simulation are described in the 5-fold cross-validation section.

are defined according to best settings estimated using cross-validation (section "Cross-validation on the CLIP-seq data" in Result and Discussion).

The cross-validation set is split into training and test sets using the procedure described in the the cross-validation section.

We performed the multiclass classification experiments on the Gene feature (baseline) and six different combinations of four feature sets in the fashion of 10-fold cross validation (see Section 2.5).

In this section, we first examine the convergence characteristic of the constructed RVM classifiers and present the classification results for the proposed approach with threefold cross validation on WARD (Section 5.1).

The threshold probability for function annotation is 0.470, in which we expect 50% precision for the protein function prediction from the cross validation experiment in Section 3.1.

The first approach used standard, stratified 10-fold cross validation ([ 37], Section 5.3).

In the first part of the Results section, cross validation showed that, on average, BALBOA achieves improved results over multi-class implementations of majority kNN and the more competitive unanimous kNN.

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