Databricks
DATABRICKS-CERTIFIED-PROFESSIONAL-DATA-SCIENTIST · Question #105
DATABRICKS-CERTIFIED-PROFESSIONAL-DATA-SCIENTIST Question #105: Real Exam Question with Answer & Explanation
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Question
Feature Hashing approach is "SGD-based classifiers avoid the need to predetermine vector size by simply picking a reasonable size and shoehorning the training data into vectors of that size" now with large vectors or with multiple locations per feature in Feature hashing?
Options
- AIs a problem with accuracy
- BIt is hard to understand what classifier is doing
- CIt is easy to understand what classifier is doing
- DIs a problem with accuracy as well as hard to understand what classifier us doing
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