Exam 9 - Databricks Certified Machine Learning Associate
Featuring 50 questions and unlimited attempts! Test your knowledge on using common classification metrics like F1, Log Loss, and ROC AUC, using common regression metrics like RMSE, MAE, and R-squared, choosing the most appropriate metric for a given scenario objective, exponentiating log-transformed variables before calculating evaluation metrics or interpreting predictions, and understanding the impact of model complexity and the bias-variance tradeoff on performance.
This course includes.
Curriculum & lectures.
+ Exam 5 lectures
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Featuring 50 questions and unlimited attempts! Test your knowledge on using common classification metrics like F1, Log Loss, and ROC AUC, using common regression metrics like RMSE, MAE, and R-squared, choosing the most appropriate metric for a given scenario objective, exponentiating log-transformed variables before calculating evaluation metrics or interpreting predictions, and understanding the impact of model complexity and the bias-variance tradeoff on performance.