📄️ simClassify
Classification
📄️ simClassify+ Data Type Specifications
Data Type Specifications tell the model what form the data from each column is in so it knows how to properly compare values.
📄️ simClassify+ Model Specifications
Model Specifications modify a model's behavior and access to server resources.
📄️ simClassify+ Folds / Grids
simClassify+'s parameters can be optimally selected using grids, folds, and Auto Tune in the same manner as simClassify's. Please see Finding Optimal Parameter Values for Classification for details.
📄️ simClassify Input / Output
simClassify can process any file that meets the Platform File Specifications as long as it has an "ID" column, which assigns a unique value to each row, and a "Class" column, which tells the engine the column it will be attempting to predict.