Suppose we have a classier that classies if an image contains a Human face or not. Suppose we have 100 images, 50 of which contain human faces. If our classier accu- rately classies that 30 images contains human faces, but at the same time wrongly classies that 30 images contains human faces. What is the precision and recall of the classier. If we change the classier to detect more images as those that contain human faces, which is more likely to reduce, precision or recall?