Behavioral sciences process large amounts of images, textual, tabular, and graph-based datasets for classification, regression, or clustering-based tasks. Which input data representations and encoding schemes should be preferred over others for increasing accuracy of Machine Learning (ML) based models? Studying how different encoding schemes may be useful in enhancing the accuracy of ML-based methods. The project findings can be deployed in a wide range of real life applications.