Prompt Title: TN and TP Positions.

TN (True Negative) and TP (True Positive) positions would depend on the specific context and the way in which the labels are being represented. However, in general, if actual labels are on the left side, then TN and TP would likely be located in the top left and bottom left portions of a confusion matrix, respectively.

A confusion matrix is a table used to evaluate the performance of a classification model. It compares the predicted labels of a model with the actual labels and displays the results in a table format. The confusion matrix typically has four quadrants, representing True Positive (TP), False Positive (FP), False Negative (FN), and True Negative (TN).

In a typical confusion matrix, the actual labels are usually represented on the rows and the predicted labels are represented on the columns. In this case, if actual labels are on the left side, then they would be represented on the columns instead. As a result, the TP and TN values would be located in the top left and bottom left quadrants of the confusion matrix, respectively.

It's worth noting that the specific placement of TP and TN may vary depending on the context and the way in which the confusion matrix is being constructed. However, the general principle remains the same: if actual labels are on the left side, then TN and TP would be located in the top left and bottom left portions of the confusion matrix.

If the actual labels are on top of the confusion matrix, then the TP (True Positive) and TN (True Negative) positions would likely be located in the top left and top right portions of the matrix, respectively.

In a confusion matrix, the actual labels are usually represented on the rows and the predicted labels are represented on the columns. However, if the actual labels are on top, then they would be represented on the columns instead. As a result, the TP and TN values would be located in the top left and top right quadrants of the confusion matrix, respectively.

For example, consider the following confusion matrix:

mathematicaCopy code
             Actual
             Positive  Negative
Predicted  Positive     10        5
               Negative     3       22

In this case, the actual labels are on top of the confusion matrix, and we can see that there are 10 True Positives (TP) and 22 True Negatives (TN). The TP values are located in the top left quadrant of the matrix, and the TN values are located in the top right quadrant.

It's important to note that the specific placement of TP and TN may vary depending on the context and the way in which the confusion matrix is being constructed. However, in general, if actual labels are on top of the matrix, then TP and TN would be located in the top left and top right portions of the confusion matrix, respectively.