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Discover Ludwig"confusion matrix" is a correct and usable phrase in English.
You can use it to refer to a table that displays the performance of a classification algorithm, typically used to evaluate the accuracy of a model. For example, you might say: "The results of the model were displayed in a confusion matrix, showing an overall accuracy of 90%."
Exact(59)
Left, confusion matrix for the entire session.
Top, example confusion matrix with 'drop-out' decoding.
Table 3: Accuracy assessment represented as a confusion matrix.
b, Confusion matrix from an example LEC animal for 10-s epochs.
We also computed and averaged over all iterations the confusion matrix information (see previous subset).
For this case, we also report in Table 2 the confusion matrix.
The confusion matrix for this ROI is shown in Fig. 6a.
Bottom, confusion matrix for a 'get-in' neuron with selective decoding.
f, Confusion matrix for decoding trial identity in the circular track experiment from example animal.
The simulation results show correctly classified percentage of normal and abnormal (intrusion) class using confusion matrix.
A clustering metric based on the construction of the data confusion matrix is also proposed.
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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