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.
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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