2''''. Explore combinations of descriptors - Romain-Laine/MiLeSIM GitHub Wiki

Performed by: ML_GenerateModels_COMBINATORIAL.m

Input: This requires the output from manual curation step (LabelObjects_BATCH.m), which can be pruned (PruneLearners.m) and augmented (CombineTrainingDataset_Duplicate_BATCH.m).

Paramaters: The number of fold for cross-validation can be set as well as the number of splits and epochs.

Output: The code creates an excel spreadsheet with the prediction accuracy of each combination of descriptors. This can be used to generate predictive scores for each descriptors.