Figure 3
From: Wndchrm – an open source utility for biological image analysis
Classification accuracy using iicbu-2008. As the graph shows, some of the image datasets were classified with very high accuracy, such as Pollen, Binucleate, and Liver age (gender). Other datasets such as HeLa, Lymphoma and RNAi were classified in accuracy of 80–85%, and the datasets Muscle Age, Terminal Bulb and Liver Aging (age) provided classification accuracy of around 50%.