Table 2.

Random forest classifier predictor performances on the validation and test partitions.

Model	Accuracy	Precision	Recall	F1
Multi-class-Val	0.97	0.97	0.92	0.93
PASC-Val	1.00	1.00	1.00	1.00
Severe-Val	0.94	0.95	0.94	0.94
Multi-class-Test	0.8	0.62	0.65	0.63
PASC-Test	0.96	0.95	0.96	0.95
Severe-Test	0.95	0.97	0.93	0.94

The partition is indicated next to the model, either as Val for validation or Test for the test partition. The presented performance metrics were calculated using the classification report and the confusion matrix form sci-kit learn (18).