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13388_2011_1_MOESM1_ESM.PDF Additional file 1: Relations among MFPs in training and test-sets: accuracy, TPR and FPR for the MFP levels in the two sets in a 3-dimensional presentation.

For this set accuracy of 78% was achieved on the 30% most confident predictions.

Correspondingly, the test set accuracy also increases gradually across iterations, as illustrated in Figure4b.

The above process is ending until Ln < ϵ (ϵ is the setting accuracy).

One purpose of selection is to control overfitting using validation set accuracy as a criterion for relevance.

As can be seen from the table, the results match perfectly well for the set accuracy level.

The effects of patch size and land-cover heterogeneity on classification accuracy were evaluated using reference data collected for the National Land-Cover Data (NLCD) set accuracy assessment.

Using a CV scheme to assess the generalization accuracy reduces the risk of overfitting, as compared to considering solely a training set accuracy.

The combined model was validated using an in-house data set (accuracy, specificity, and sensitivity were 0.63, 0.59, and 0.78, respectively; 62 compounds).

For each case, the training set accuracy increases with each iteration, and the wider the contextual range, the better the performance.

In 2011 [77], Pham et al. built a model using linear discriminant analysis (LDA) method with 674 molecules which reported results: MCC = 0.62, Accuracy = 81.56% (training set), Accuracy = 83.94% (test set).