Databricks Certified Machine Learning - Associate
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In a Spark MLlib implementation, you are working with a large dataset and need to perform model evaluation to assess the performance of your machine learning model. Which of the following evaluation metrics can be used in Spark MLlib for classification tasks, and how do they work?
In a Spark MLlib implementation, you are working with a large dataset and need to perform model evaluation to assess the performance of your machine learning model. Which of the following evaluation metrics can be used in Spark MLlib for classification tasks, and how do they work?
Simulated
A
Accuracy, which measures the proportion of correct predictions made by the model.
5.7%
B
Precision, which measures the proportion of true positive predictions among all positive predictions.
4.6%
C
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