What is Auto Classification
Analytics Section
Try Auto Classification at Labellerr
Auto Classification is a technique used in machine learning and data mining to automatically classify a given set of data into one or more predefined categories or classes. This is typically done using algorithms such as decision trees, random forests, neural networks, and support vector machines, which are trained on a labelled dataset to learn the patterns and characteristics of each class. The goal of auto classification is to accurately and efficiently classify new, unseen data based on the patterns learned from the training dataset.
Go to the settings section in the header and click on the datasets in the sidebar
Then click on View Dataset on whichever dataset you want to classify
Click on AutoLabel option present in the vertical ellipsis
Select classification in the dialog box and enter all the labels on the basis of which you want to classify. Click on Detect Labels
Labels will be rendered on the files where detected
ANALYTICS SECTION In the right side, an analytics section will appear. It will show Total Classifications Count and their respective distribution. There, the user can Edit and Reset the Labels too
