Create DataSet, Train a Model, Make a Prediction, Validate (split, cross or external)
JaqPot Quattro is a web application for computational modelling of nanomaterials and is being developed in the context of the eNanoMapper FP7 funded project.
This video tutorial is about the first release of the application which includes generation of datasets, creation and validation of predictive nanoQSQR models and use of models for calculating predictions.
Tutorial Authors: Georgios Drakakis, Philip Doganis, Georgia Tsiliki, Hampos Chomenidis, Evangelia Anagnostopoulou, Haralambos Sarimveis, The The National Technical University of Athens.