Evaluation Metric

Hardik Chheda Updated by Hardik Chheda

When you create a Auto-ML model, the Auto ML page displays the chart for the selected prediction.

On the same page, you can also view the options to fine tune your prediction by changing the dimensions, model type, and metric.

In these options, Evaluation Metric is the field that contains the metrics that you want to use to evaluate your model for the selected model and prediction column.

Following are different evaluation metrics for different models:

  • Classification:
    • f1
    • weightedPrecision
    • weightedRecall
    • accuracy
  • Regression:
    • mse
    • rmse
    • r2
    • mae

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