Databricks
DATABRICKS-CERTIFIED-PROFESSIONAL-DATA-SCIENTIST · Question #82
DATABRICKS-CERTIFIED-PROFESSIONAL-DATA-SCIENTIST Question #82: Real Exam Question with Answer & Explanation
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Question
What is the best way to evaluate the quality of the model found by an unsupervised algorithm like k- means clustering, given metrics for the cost of the clustering (how well it fits the data) and its stability (how similar the clusters are across multiple runs over the same data)?
Options
- AThe lowest cost clustering subject to a stability constraint
- BThe lowest cost clustering
- CThe most stable clustering subject to a minimal cost constraint
- DThe most stable clustering
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