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The variation maximum value of each component is also listed in Table 2.
The performance of the ensemble classifier depends on the parameters value of each component classifier.
Then the indicators were averaged by Eq. 6 to calculate the value of each component.
Therefore, the performance of the ensemble classifier depends on the parameter value of each component classifier.
That is, the expected value of an uncertain vector is the vector consisting of the expected value of each component.
Each document, in syntactic level, is represented as a term vector where the value of each component is the term frequency and inverse document frequency.
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This result is in accordance with the characteristics previously reported [35, 36]. Figure 4b (circle) shows the zeta potential value of each components in the drug carriers.
After that, all the indicators were indexed, the indicators had been averaged to calculate the value of each components using; {text{M}}_{text{j}} = mathop sum limits_{i = 1}^{n} {text{Index X}}_{text{ij}} /{text{n,}} (4 where, Mj is the components of vulnerability.
Table 1 depicts previously suggested cut of values for each component of DASS-21 score [ 29].
The position and shape values of each component were defined as design variables.
The mean values of each component in each of the developed methods did not exceed ± 15% (for quality control samples) and 20% (for LLO Q, Table 2.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com