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Since minimizing empirical risk makes a classifier have a high classification accuracy on label-known patterns while minimizing complexity makes it have a low prediction error on label-unknown patterns, thus structural risk can be used to measure the effectiveness of a classifier and Structural Risk Minimization (SRM) becomes its design goal.
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It is well known that RF and SVM classifiers have a higher classification performance than kNN and naïve Bayes classifiers [ 31].
Illustrative examples show that the system has a high classification accuracy rate with a small number of rules.
The PALS assessment has a high classification accuracy with an area under the curve (AUC) of.91, meaning that it accurately diagnoses children as either at risk or not at risk of reading difficulty.
Therefore, DCFHC has a higher classification accuracy and more reasonable characteristics than AFC.
Hence a small tumour affecting a critical area may have a higher T-classification compared to a large tumour confined to a defined anatomic site.
Further investigation is required to explain why intratumor CE do not show association with invasiveness despite CE-rich tumors have a high aggressive potential, Lipid profiling classifications have the advantage over molecular classifications which allows better stratification of breast cancer malignancy [ 47].
Patients with substance use disorder (SUD), classified within ICD-10: F10-19 (mental and behavioral disorders due to psychoactive substance use) at the World Health Organization's mental and behavioral disorders classification, have a high prevalence of health and psychosocial problems in addition to their substance use disorder [ 1].
Although we observe a lot of futures research, new projects and new actors that are coming up, we still have a high degree of uncertainty about classifications, criteria what is 'good' and what is 'not good' futures research in the sense of scientific rigor or transparency.
However, many well-known conventional criterion functions use less relevant features for classification or they have a high computational cost.
The ROD measurements between the different source and target domain pairs tested have a high correlation to the actual test results, meaning the domains that are found to be more related with respect to the ROD measurement had higher classification accuracies.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com