src.plots.evaluation_metrics_contrast

Generates a bar chart to contrast different evaluation metrics for selected models.

This script creates a grouped bar chart to compare the performance of ‘MLP-POM’ and ‘MLP-CORN’ models on the ‘Wine’ dataset, using three different metrics: Mean Absolute Error (MAE), Mean Squared Error (MSE), and Accuracy.

Functions

plot_evaluation_metrics_contrast([k, figsize])

Generates a conceptual plot contrasting Standard Accuracy with Ordinal-aware metrics (like MAE or QWK).