Evaluate data frame analytics results
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Evaluate data frame analytics results
with Elastic Stack · Artificial Intelligence Management
Use Elastic Stack: its Elasticsearch Request & Response Specification ml data frame API lets you evaluate data frame analytics results in a single step (POST /_ml/data_frame/_evaluate). capabilities.work can help you get signed up and connected.
- How accurate is my classification model compared with the ground truth in its results index?
- Can I compute evaluation metrics like AUC ROC or mean squared error on an analytics results index?
Say it to your AI assistant
- Evaluate the analytics results in index {index} using {evaluation}.
- Compute evaluation metrics {evaluation} for index {index}, limited to documents matching {query}.
For your developer
POST /_ml/data_frame/_evaluate in Elasticsearch Request & Response Specification ml data frame API. Full spec on APIs.io.