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Table 5 represents obtained decision tree after applying the ID3 algorithm on the content category of usability data.
This is due to fact that these attributes are near to root of the obtained decision tree.
Most of the obtained decision trees to predict overflows from rain data had accuracies ranging from 70%to83%3%.
Decision tree has been applied as the obtained decision tree is easy to understand and more important attributes can be easily detected (usually in the top of the decision tree).
Following our proposed methodology the next step is the ligand selection using the rules extracted from the obtained decision trees.
Following our proposed methodology, the next step was the ligand selection using the rules extracted from the obtained decision trees.
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When solving clinical decision-making problems with modern graphical decision-theoretic models such as influence diagrams, we obtain decision tables with optimal decision alternatives describing the best course of action for a given patient or group of patients.
In the case of SC-FDE transmission, -point IFFT is applied to (7) to obtain decision variables for data detection, while for OFDM case, (7) denotes the decision variables.
This is approached by obtaining decision landscape curves representing collectively the conditional and joint producer's and consumer's risks at different microbiological limits along with confidence intervals representing uncertainty due to the propagated between-batch variability.
In all, 0.9% of the interviewees would prefer a consultation with other experts to obtain decision.
By applying the J48 algorithm over the data we obtain decision tree models that achieved up to 84% of accuracy.
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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