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The training of a linear support vector machine classifier and the evaluation of classification performance were performed via a leave-one-run-out cross-validation procedure.
Using the balanced accuracy as the performance measure, a stringent evaluation of classification performance was performed, which consists of both internal and external validations.
The AUC is a non-biased classification measure that allows for the evaluation of classification performance independent of a fixed threshold.
The evaluation of classification performance is crucial for algorithm and model selection.
Our future work includes the evaluation of classification performance of the trained model on other images from the same coating process and on images from different coaters.
However, the overlapped subjects were counted only once for the evaluation of classification performance.
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In Section 3, we discuss the evaluation metrics of classification performance and compare and analyze the results of our method, other methods, and other classification models.
GS models are evaluated in terms of classification performance.
The development of biomarkers into diagnostic tests can be categorized into three broad phases: biomarker discovery, the evaluation of biomarker classification performance and the impact of using biomarkers in clinical care.
The evaluation of the classification performance against the SC_GOLD corpus for each TC subtype is listed in Table 1.
The complete evaluation of the classification performance was carried out using test samples generated in step 1 composed of complete viral genomes and viral sequence fragments of 1000 bp, 500 bp and 100 bp in length, viral fragments were sampled at random from each complete viral genome in the test set obtained in step 1.
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