Ends with evaluation metric

The ends with evaluation metric measures whether the rows in the prediction end with the specified substring.

Metric details

Ends with is a content validation metric that uses string-based functions to analyze and validate generated LLM output text. The metric is available only when you use the Python SDK to calculate evaluation metrics.

Scope

The ends with metric evaluates generative AI assets only.

  • Types of AI assets: Prompt templates
  • Generative AI tasks:
    • Text summarization
    • Content generation
    • Question answering
    • Entity extraction
    • Retrieval augmented generation (RAG)
  • Supported languages: English

Scores and values

The ends with metric score indicates whether the rows in the prediction end with the specified substring.

  • Range of values: 0.0-1.0
  • Ratios:
    • At 0: The prediction rows do not end with the specified substring.
    • At 1: The prediction rows end with the specified substring.

Settings

  • Thresholds:
    • Lower limit: 0
    • Upper limit: 1

Parent topic: Evaluation metrics