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The phrase "false decision" is grammatically correct and can be used in written English.
It refers to a decision or choice that is incorrect or untrue. It can be used in a variety of contexts, such as discussing a court case, a business decision, or a personal choice. Example: The false decision made by the jury led to the innocent man being wrongly convicted and sent to prison.
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False positive (FP), the number of false decision related to positive emotion by automated system.
True negative (TN), the number of true decision related to negative emotion, and False negative (FN), the number of false decision related to negative emotion.
Figure 10 compares the false decision probability obtained by EMR-ARP with that obtained by MR-ARP for various numbers of adversary nodes under the condition described above.
A false decision is occasionally caused by the erroneous EM-based GMM estimation in the intersection regions where they have somewhat low likelihoods.
In more detail, we compare the proposed EMR-ARP scheme with MR-ARP [13] in terms of the false decision probability in the presence of attackers.
However, as for Model 1, false decision rates are out of control,—sometimes, much below GCT's, and sometimes, way above it, irrespective of corrections which fail to restore Neyman Pearson expected behaviour.
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A common issue in malware analysis is how to mitigate and handle the false decisions such as false positives.
Secondly, two-way decisions do not involve any explicit mechanism for dealing with the false decisions at the model level.
Moreover, it aims to mitigate the false decisions at the model level by determining a tradeoff between different properties of decision making such as accuracy, generality and uncertainty.
A better quality of SPN, which minimizes the false decisions of the proposed method, can be obtained using correlation-based SPN merging.
To avoid any false decisions, due to high reverberation environment or acoustical noise, a long-term floor function,, is employed to the ceiling function according to (7).
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Write better and faster with AI suggestions while staying true to your unique style.
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