I am evaluating a classification model, Support Vector Machine, and I am having difficulty interpreting the Precision and Recall Curve 1 graph.
For example, this graph plots a straight negative line. I wasn't expecting this, especially when the accuracy of this model is 0.99, and it has a false negative rate of almost 0, and I also don't have false positives. That is, true positives are at 100% and true negatives are at 99.99%. You can check this info in the confusion matrix 2. How do I interpret a graph like this? Is my model completely wrong?