Create model_evaluation_and_metrics.md #269
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This PR includes a tutorial on AI model evaluation and metrics, covering classification, regression, and ranking models. The md file includes accuracy, precision, recall, F1-score, ROC-AUC, log loss, mean squared error (MSE), mean absolute error (MAE), R-squared, and other relevant metrics. It also provides Python code snippets demonstrating how to compute these metrics using libraries like scikit-learn.