AutoML

You can use MATLAB with AutoML to support many workflows, such as feature extraction and selection and model selection and tuning. Feature extraction reduces the high dimensionality and variability present in the raw data and identifies variables that capture the salient and distinctive parts of the input signal. The process of feature engineering typically progresses from generating initial features from the raw data to selecting a small subset of the most suitable features. But feature engineering is an iterative process, and other methods such as feature transformation and dimensionality reduction can play a role. Feature selection identifies a subset of features that still provide predictive power, but with fewer features and a smaller model.