Model Evaluation

Evaluate models on the metrics available for the ML algorithm.

Model Evaluation is configured using the following three properties:

Enable Model Evaluation: Select the box for Enabling the model for evaluation.

Train Ratio: Ratio in which incoming data will be split for training and testing. Value should be between 0 and 1. Example – 0.7 (70% data will be used for training and 30% for testing)

Select Metric: The metric on which user wants to evaluate the model.

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Elastic Search will be used in the background to store actual label of the data and model’s output to evaluate the model metrics.

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