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Hi Omar,
DSS splits the source dataset into two populations: training and test. The model is then evaluated against the test population.
The red numbers indicate the false-negatives (predicted 0 by the model, but actually 1) and false-positives (predicted 1, actually 0), in the test population. The green numbers represent correct predictions.
I hope this helps.