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elasticsearch-js/docs/reference/api/MlDataframeEvaluationRegressionMetrics.md
Josh Mock b140fcda7f Another round of tweaks
2025-05-28 10:02:30 -05:00

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MlDataframeEvaluationRegressionMetrics [interface-MlDataframeEvaluationRegressionMetrics]

Name Type Description
huber MlDataframeEvaluationRegressionMetricsHuber Pseudo Huber loss function.
mse Record<string, any> Average squared difference between the predicted values and the actual (ground truth) value. For more information, read this wiki article.
msle MlDataframeEvaluationRegressionMetricsMsle Average squared difference between the logarithm of the predicted values and the logarithm of the actual (ground truth) value.
r_squared Record<string, any> Proportion of the variance in the dependent variable that is predictable from the independent variables.