Training and validation loss of the binary classifier model after running the model 30 times. The training loss of the model measures the discrepancy between the predicted outputs of the model and the actual targets in the training dataset. The validation loss depicts the model performance on the validation data and is therefore a measure of how well the model generalises to unseen data.