In this project, your aim is to leverage machine learning to automatically classify patients' examinations into five distinct classes using as predictors cardiac magnetic resonance radiomics.
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Training and validation set creation - (cross-validation). #6
Training and validation set creation: Divide the dataset into training and validation sets
using a method of your choice, and justify your approach. Feel free to experiment with
different splitting techniques (simple splitting, cross-validation).
marcelokscunha
commented
7 months ago
Training and validation set creation: Divide the dataset into training and validation sets using a method of your choice, and justify your approach. Feel free to experiment with different splitting techniques (simple splitting, cross-validation).