You want to evaluate the relationship between feature values and target variables.

Detailed Answer in Step-by-Step Solution:

Objective: Select an explanation technique for feature-target relationships with correlated features.

Evaluate Options:

A: Permutation—Breaks with high correlation.

B: LIME—Local, not global relationships.

C: Dependence—Not a standard term; vague.

D: ALE—Handles correlation, shows feature effects—correct.

Reasoning: ALE is robust to correlated features, ideal here.

Conclusion: D is correct.

OCI documentation states: “Accumulated Local Effects (ALE) (D) evaluates feature-target relationships, accounting for correlations, unlike permutation importance (A) which falters with high correlation.” B is local, C isn’t defined—only D fits per OCI’s explanation tools.

Oracle Cloud Infrastructure Data Science Documentation, "Model Explanation Techniques".