Artificial Intelligence, Machine Learning, Data Science, Bioinformatics, Genomics.
of false negative. From this, we can derive the confusion matrix. The confusion matrix is a table to visualize the performance of a classifier. Generally, the rows represent the predicted classes, while the columns represent the true classes. Fig 4. figure source from: here To measure the