Author response table 1. Leave-one-story-out scheme.
Example of one out of four folds. In this particular fold, the test set consists of story 1, and the training and validation sets consist of stories 2, 3, and 4. Training and validation sets are completely separate from the test set. Per-subject accuracies are based on a subject-specific test set (noted by multiple mentions of "test" in Author response table 1). The model is trained on data of all subjects (noted by a single mention of "train/val").
| Story | Subject 1 | Subject 2 | …. | Subject 16 |
|---|---|---|---|---|
| 1 | test | test | test | test |
| 2 | train/val | |||
| 3 | train/val | |||
| 4 | train/val |