Computes a 2D error matrix for a collection by comparing two columns of a collection: one containing the actual values, and one containing predicted values.The values are expected to be small contiguous integers, starting from 0. Axis 0 (the rows) of the matrix correspond to the actual values, and Axis 1 (the columns) to the predicted values.
| Usage | Returns |
|---|---|
FeatureCollection.errorMatrix(actual, predicted, order) | ConfusionMatrix |
| Argument | Type | Details |
|---|---|---|
this: collection | FeatureCollection | The input collection. |
actual | String | The name of the property containing the actual value. |
predicted | String | The name of the property containing the predicted value. |
order | List, default: null | A list of the expected values. If this argument is not specified, the values are assumed to be contiguous and span the range 0 to maxValue. If specified, only values matching this list are used, and the matrix will have dimensions and order matching the this list. |
Examples
JavaScript
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Python
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