You have trained three different models on your dataset using Oracle AutoML.

Detailed Answer in Step-by-Step Solution:

Objective: Identify the ADS SDK class for visualizing model performance comparison.

Understand ADS Classes: Each serves a specific ML purpose—visualization requires evaluation tools.

Evaluate Options:

A. EvaluationMetrics: Likely a typo—meant EvaluationsMetrics? Not a standalone class for visualization.

B. ADSEvaluator: Designed to evaluate and visualize model performance (e.g., ROC curves)—correct.

C. ADSExplainer: Explains model predictions (e.g., SHAP), not comparative visualization.

D. ADSTuner: Tunes hyperparameters, not for visualization.

Reasoning: ADSEvaluator provides comparative plots (e.g., precision-recall) for multiple models, including baselines.

Conclusion: B is correct.

OCI documentation states: “The ADSEvaluator class in ADS SDK (B) enables visualization of model performance metrics, such as ROC curves and confusion matrices, for multiple models on a test set, including baselines.” EvaluationMetrics (A) isn’t a class, ADSExplainer (C) focuses on interpretability, and ADSTuner (D) is for tuning—only B fits the visualization need per OCI’s ADS toolkit.

Oracle Cloud Infrastructure ADS SDK Documentation, "ADSEvaluator Class".