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Coefficients Tab for Numeric Use Cases
A model uses coefficients to calculate a prediction for a specific observation. You can filter the list of coefficients and also download the data in a CSV file.
Note Einstein Discovery stories are now models. We wish we could snap our fingers to update
the name everywhere, but you can expect to see the previous name in a few places until we
replace it.
Navigate to the Coefficients Tab
In Performance, click Model Evaluation, then Coefficients.
Metrics on the Coefficients Tab
| Metric | Description |
|---|---|
| Number of Variables | Number of variables in the model. |
| Number of Variables Including Interactions | Number of variables plus interactions (two-variable pairs) in the model. |
| Intercept | The expected mean value of Y when all X = 0. |
| Value | Variable or variable pair used in the model. |
| Coefficient | Number that represents the impact that an explanatory variable (or a pair of explanatory variables) has on the outcome variable. The coefficient quantifies the change in the mean of the outcome variable when there is a one-unit shift in the explanatory variables, assuming all other variables in the model remain constant. |
| Scaled Importance | Importance relative to other coefficients, starting with a maximum importance of 1. |
You can:
- Filter the list by typing text in the search box.
- Click Download CSV to download the model's coefficient values to a CSV file.
See Also
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