I am using autoencoder based multiple binary classifier for text regeneration each trained on data related to multiple classes. In other words, each classifier is trained to classify only one class. I give test input to each of the classifiers and calculate the percentage of correctly regenerated words. I pick the the most accurate one as the class. I want to plot precision-recall curve, however, i am not sure how to do it with my current scenario.