Calibration analysis of the output of models with varying α and γ focal loss parameters. The first and third rows display the model predictions for the test set, with the color indicating the true class. The second and fourth rows showcase the calibration results for each corresponding model, presenting the uncalibrated, Platt-scaled, and Logit-Transformed Platt scaling results. This side-by-side comparison illustrates the effectiveness of the calibration techniques in enhancing the alignment of predicted probabilities with the observed frequency of positive class occurrences.